<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2025/05/Google-Shopping-Ads-Google-Ads.jpg" class="attachment-large size-large wp-post-image" alt="Google Shopping Ads - Google Ads" style="margin-bottom: 15px;" decoding="async" fetchpriority="high" srcset="https://searchengineland.com/wp-content/seloads/2025/05/Google-Shopping-Ads-Google-Ads.jpg 1920w, https://searchengineland.com/wp-content/seloads/2025/05/Google-Shopping-Ads-Google-Ads-768x432.jpg 768w, https://searchengineland.com/wp-content/seloads/2025/05/Google-Shopping-Ads-Google-Ads-1536x864.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Google clarifies its Misrepresentation policy, adding examples and guidance on compliance, delivery, and returns.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2025/05/Google-Shopping-Ads-Google-Ads.jpg" class="attachment-large size-large wp-post-image" alt="Google Shopping Ads - Google Ads" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/05/Google-Shopping-Ads-Google-Ads.jpg 1920w, https://searchengineland.com/wp-content/seloads/2025/05/Google-Shopping-Ads-Google-Ads-768x432.jpg 768w, https://searchengineland.com/wp-content/seloads/2025/05/Google-Shopping-Ads-Google-Ads-1536x864.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p>Google is clarifying its Misrepresentation policy for Shopping ads and free listings. The update doesn’t change enforcement but adds more examples and guidance to help advertisers comply.</p>



<ul class="wp-block-list">
<li><strong>Enforcement clarification:</strong> Google added examples related to non-delivery and inoperable return or refund processes. These are clarifications, not new rules.</li>



<li><strong>Support clarification:</strong> New guidance explains best practices for maintaining compliance and provides more detail on the appeals process.</li>
</ul>



<p><strong>Why we care.</strong> Advertisers now have clearer expectations about what counts as misrepresentation. This can help prevent policy violations, reduce account suspensions, and improve customer trust.</p>



<p><strong>Bottom line.</strong> Advertisers should review the <a href="https://support.google.com/merchants/answer/16608300">updated policy</a> and guidance to ensure their Shopping ads and free listings remain compliant, especially around delivery promises and return processes.</p>



<p><strong>Read more</strong>. Check the full Misrepresentation policy for <a href="https://support.google.com/merchants/answer/6150127">Shopping ads</a> and <a href="https://support.google.com/merchants/answer/12079606">free listings</a> for details on the updated guidance.</p>


Google is clarifying its Misrepresentation policy for Shopping ads and free listings. The update doesn’t change enforcement but adds more examples and guidance to help advertisers comply.
Enforcement clarification: Google added examples related to non-delivery and inoperable return or refund processes. These are clarifications, not new rules.
Support clarification: New guidance explains best practices for maintaining compliance and provides more detail on the appeals process.
Why we care. Advertisers now have clearer expectations about what counts as misrepresentation. This can help prevent policy violations, reduce account suspensions, and improve customer trust.
Bottom line. Advertisers should review the updated policy and guidance to ensure their Shopping ads and free listings remain compliant, especially around delivery promises and return processes.
Read more. Check the full Misrepresentation policy for Shopping ads and free listings for details on the updated guidance.

Google clarifies its Misrepresentation policy, adding examples and guidance on compliance, delivery, and returns.

Google updates Misrepresentation policy for Shopping Ads and free listings

<div><img width="1600" height="900" src="https://searchengineland.com/wp-content/seloads/2025/10/PLTP-IntroOutro-2.png" class="attachment-large size-large wp-post-image" alt="" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/10/PLTP-IntroOutro-2.png 1600w, https://searchengineland.com/wp-content/seloads/2025/10/PLTP-IntroOutro-2-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2025/10/PLTP-IntroOutro-2-1536x864.png 1536w" sizes="(max-width: 1600px) 100vw, 1600px" /></div>Ayisha Yousef shares how a Black Friday blunder became a masterclass in leadership, accountability, and smarter campaign management.

<div><img width="1600" height="900" src="https://searchengineland.com/wp-content/seloads/2025/10/PLTP-IntroOutro-2.png" class="attachment-large size-large wp-post-image" alt="" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/10/PLTP-IntroOutro-2.png 1600w, https://searchengineland.com/wp-content/seloads/2025/10/PLTP-IntroOutro-2-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2025/10/PLTP-IntroOutro-2-1536x864.png 1536w" sizes="(max-width: 1600px) 100vw, 1600px" /></div>
<div style="padding:56.25% 0 0 0;position:relative;"><iframe src="https://player.vimeo.com/video/1126280657?title=0&amp;byline=0&amp;portrait=0&amp;badge=0&amp;autopause=0&amp;player_id=0&amp;app_id=58479" frameborder="0" allow="autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share" referrerpolicy="strict-origin-when-cross-origin" style="position:absolute;top:0;left:0;width:100%;height:100%;" title="riverside_ayisha_&amp; anu _ oct 7, 2025 001_anu_adegbola&#039;s stud"></iframe></div><script src="https://player.vimeo.com/api/player.js"></script>



<p></p>



<p>On episode 327 of PPC Live The Podcast, I speak to Ayisha Yousef, a familiar face to the PPC Live audience. Known for her expertise in e-commerce and performance marketing, Ayisha shares a bold story about a major Black Friday mistake — and how she managed to recover from it.</p>



<h2 class="wp-block-heading" id="h-the-black-friday-f-up">The Black Friday F-Up</h2>



<h3 class="wp-block-heading" id="h-setting-the-scene">Setting the Scene</h3>



<p>A few years ago, Ayisha was working agency-side during Black Friday week — the most crucial time for e-commerce advertisers. She managed a team of six or seven and asked them to remove ad scheduling from top campaigns to ensure ads ran throughout the busy period.</p>



<p>But instead of adjusting the schedule to “always on,” the team deleted the schedule entirely, meaning the ads didn’t run at all.</p>



<p>The result? The campaigns in their top six markets went completely dark for the entire Black Friday.</p>



<h3 class="wp-block-heading" id="h-discovering-the-mistake">Discovering the Mistake</h3>



<p>The issue wasn’t caught until the following Saturday. Because other campaigns were still performing well, the system didn’t trigger alerts. When Ayisha reviewed performance data and noticed discrepancies, she immediately realised what had happened.</p>



<p>“It was the opposite of a lightbulb moment,” she said. “My stomach dropped — I knew exactly what had gone wrong.”</p>



<h2 class="wp-block-heading" id="h-crisis-mode-fixing-the-fallout">Crisis Mode: Fixing the Fallout</h2>



<p>Ayisha acted fast. She turned the affected campaigns back on, quantified the issue, and immediately escalated it to her head of department — even though it was a Saturday. Together, they analysed what went wrong, why alerts failed, and how to prevent it in the future.</p>



<p>By Monday, they presented a clear, honest report to the client. While the client wasn’t happy, they appreciated the transparency and the learnings the team shared.</p>



<p>In the end, the account <strong>still hit its overall Black Friday targets</strong>, thanks to strong performance from other campaigns and underspend savings.</p>



<h2 class="wp-block-heading" id="h-leadership-integrity-and-protecting-the-team">Leadership, integrity, and protecting the team</h2>



<p>One of the standout moments in Ayisha’s story was how she protected her team. When management asked who made the mistake, she refused to name names.</p>



<p>“I gave the instruction,” she said. “So ultimately, it was on me.”</p>



<p>She later explained to her team what had happened — and discovered they didn’t even realise it was an error. It was a lack of technical understanding, not negligence.</p>



<p>This act of integrity not only earned Ayisha respect but also reinforced the importance of psychological safety within a team. Mistakes happen, but how leaders respond determines whether teams grow stronger or weaker.</p>



<h2 class="wp-block-heading" id="h-lessons-learned-communication-and-oversight">Lessons learned: communication and oversight</h2>



<p>The biggest takeaway for Ayisha? Show your team how to do things, even if they say they know.</p>



<p>During high-stakes periods like Black Friday, it’s better to double-check instructions than assume everything’s fine. “It’s not about micromanaging,” Ayisha explained, “it’s about safeguarding performance when it matters most.”</p>



<p>She now ensures that junior team members understand the basics — from ad schedules to campaign settings — even as automation becomes more dominant in PPC.</p>



<h2 class="wp-block-heading" id="h-common-ppc-mistakes-advertisers-still-make">Common PPC mistakes advertisers still make</h2>



<p>As a consultant, Ayisha often audits PPC accounts and still sees recurring issues. One of the most common? Over-segmentation of campaigns.</p>



<p>Advertisers often split campaigns too finely by audience or targeting type, diluting data and harming performance. With AI-driven bidding strategies, Ayisha recommends a broader campaign structure — similar to Meta’s approach — that lets algorithms learn from more data.</p>



<p>“The more conversions and data your campaign has,” she said, “the smarter Google’s AI becomes. Over-segmentation slows that learning.”</p>



<h2 class="wp-block-heading" id="h-why-talking-about-mistakes-matters">Why talking about mistakes matters</h2>



<p>PPC conversations online often focus on wins — big ROAS numbers, new client wins, and success stories. But Ayisha and Anu agree that talking about mistakes is just as important.</p>



<p>“It gives a more true picture,” Ayisha said. “This isn’t Disney World. Things go wrong, and we learn from them. Sometimes the only takeaway is: don’t do that again.”</p>



<p>By sharing failures, the PPC community helps new practitioners set realistic expectations — and prevents burnout when things inevitably don’t go as planned.</p>



<h2 class="wp-block-heading" id="h-advice-for-ppc-managers">Advice for PPC managers</h2>



<p>For Ayisha, great management comes down to balance: supporting your team without overloading them.</p>



<p>“People make more mistakes when they’re anxious,” she said. “If you make your team feel safe, they’ll take ownership, learn faster, and perform better.”</p>



<p>She also encourages PPC professionals to take their time before jumping into management roles. “Being a middle manager is one of the hardest jobs — you’re responsible for the work and the people. Make sure you’re ready for that responsibility.”</p>



<h2 class="wp-block-heading" id="h-final-thoughts">Final thoughts</h2>



<p>Ayisha’s story is a powerful reminder that even the most experienced marketers can make mistakes — especially in fast-paced, high-pressure moments like Black Friday. But what defines a true expert isn’t perfection; it’s how they respond, recover, and grow.</p>



<p>As Ayisha puts it: “Things happen. The key is learning from them and putting systems in place so they don’t happen again.”</p>



<p></p>


On episode 327 of PPC Live The Podcast, I speak to Ayisha Yousef, a familiar face to the PPC Live audience. Known for her expertise in e-commerce and performance marketing, Ayisha shares a bold story about a major Black Friday mistake — and how she managed to recover from it.
The Black Friday F-Up
Setting the Scene
A few years ago, Ayisha was working agency-side during Black Friday week — the most crucial time for e-commerce advertisers. She managed a team of six or seven and asked them to remove ad scheduling from top campaigns to ensure ads ran throughout the busy period.
But instead of adjusting the schedule to “always on,” the team deleted the schedule entirely, meaning the ads didn’t run at all.
The result? The campaigns in their top six markets went completely dark for the entire Black Friday.
Discovering the Mistake
The issue wasn’t caught until the following Saturday. Because other campaigns were still performing well, the system didn’t trigger alerts. When Ayisha reviewed performance data and noticed discrepancies, she immediately realised what had happened.
“It was the opposite of a lightbulb moment,” she said. “My stomach dropped — I knew exactly what had gone wrong.”
Crisis Mode: Fixing the Fallout
Ayisha acted fast. She turned the affected campaigns back on, quantified the issue, and immediately escalated it to her head of department — even though it was a Saturday. Together, they analysed what went wrong, why alerts failed, and how to prevent it in the future.
By Monday, they presented a clear, honest report to the client. While the client wasn’t happy, they appreciated the transparency and the learnings the team shared.
In the end, the account still hit its overall Black Friday targets, thanks to strong performance from other campaigns and underspend savings.
Leadership, integrity, and protecting the team
One of the standout moments in Ayisha’s story was how she protected her team. When management asked who made the mistake, she refused to name names.
“I gave the instruction,” she said. “So ultimately, it was on me.”
She later explained to her team what had happened — and discovered they didn’t even realise it was an error. It was a lack of technical understanding, not negligence.
This act of integrity not only earned Ayisha respect but also reinforced the importance of psychological safety within a team. Mistakes happen, but how leaders respond determines whether teams grow stronger or weaker.
Lessons learned: communication and oversight
The biggest takeaway for Ayisha? Show your team how to do things, even if they say they know.
During high-stakes periods like Black Friday, it’s better to double-check instructions than assume everything’s fine. “It’s not about micromanaging,” Ayisha explained, “it’s about safeguarding performance when it matters most.”
She now ensures that junior team members understand the basics — from ad schedules to campaign settings — even as automation becomes more dominant in PPC.
Common PPC mistakes advertisers still make
As a consultant, Ayisha often audits PPC accounts and still sees recurring issues. One of the most common? Over-segmentation of campaigns.
Advertisers often split campaigns too finely by audience or targeting type, diluting data and harming performance. With AI-driven bidding strategies, Ayisha recommends a broader campaign structure — similar to Meta’s approach — that lets algorithms learn from more data.
“The more conversions and data your campaign has,” she said, “the smarter Google’s AI becomes. Over-segmentation slows that learning.”
Why talking about mistakes matters
PPC conversations online often focus on wins — big ROAS numbers, new client wins, and success stories. But Ayisha and Anu agree that talking about mistakes is just as important.
“It gives a more true picture,” Ayisha said. “This isn’t Disney World. Things go wrong, and we learn from them. Sometimes the only takeaway is: don’t do that again.”
By sharing failures, the PPC community helps new practitioners set realistic expectations — and prevents burnout when things inevitably don’t go as planned.
Advice for PPC managers
For Ayisha, great management comes down to balance: supporting your team without overloading them.
“People make more mistakes when they’re anxious,” she said. “If you make your team feel safe, they’ll take ownership, learn faster, and perform better.”
She also encourages PPC professionals to take their time before jumping into management roles. “Being a middle manager is one of the hardest jobs — you’re responsible for the work and the people. Make sure you’re ready for that responsibility.”
Final thoughts
Ayisha’s story is a powerful reminder that even the most experienced marketers can make mistakes — especially in fast-paced, high-pressure moments like Black Friday. But what defines a true expert isn’t perfection; it’s how they respond, recover, and grow.
As Ayisha puts it: “Things happen. The key is learning from them and putting systems in place so they don’t happen again.”

Ayisha Yousef shares how a Black Friday blunder became a masterclass in leadership, accountability, and smarter campaign management.

Ayisha Yousef talks turning Black Friday fails into lessons

<div><img width="800" height="450" src="https://searchengineland.com/wp-content/seloads/2021/10/hiring-in-search-marketing-800x450.jpg" class="attachment-large size-large wp-post-image" alt="Search marketing jobs" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2021/10/hiring-in-search-marketing-800x450.jpg 800w, https://searchengineland.com/wp-content/seloads/2021/10/hiring-in-search-marketing-600x338.jpg 600w, https://searchengineland.com/wp-content/seloads/2021/10/hiring-in-search-marketing-200x113.jpg 200w, https://searchengineland.com/wp-content/seloads/2021/10/hiring-in-search-marketing-768x432.jpg 768w, https://searchengineland.com/wp-content/seloads/2021/10/hiring-in-search-marketing-1536x864.jpg 1536w, https://searchengineland.com/wp-content/seloads/2021/10/hiring-in-search-marketing-150x84.jpg 150w, https://searchengineland.com/wp-content/seloads/2021/10/hiring-in-search-marketing-550x310.jpg 550w, https://searchengineland.com/wp-content/seloads/2021/10/hiring-in-search-marketing.jpg 1920w" sizes="(max-width: 800px) 100vw, 800px" /></div>Land your next job in SEO or PPC. These brands and agencies are hiring to fill open search marketing positions right now.

Looking to take the next step in your search marketing career? 
Below, you will find the latest SEO, PPC, and digital marketing jobs at brands and agencies. We also include positions from previous weeks that are still open.
Newest SEO Jobs 
.wp-block-rss__item-title{padding-top:20px;}



(Provided to Search Engine Land by SEOjobs.com) 

Technical SEO Manager ~ Seer Interactive ~ $75,000-$95,000 per year ~ Remote (USA)
October 10, 2025 
Seer Interactive is a digital marketing consultancy that harnesses compassion, data, and technology to make a mark on our communities – our coworkers, our clients, our industry, and our neighbors. We believe in relentlessly pursuing (and sharing) the truth – bringing together millions of data points from quantitative and qualitative sources to base our decisions […]

GEO Expert ~ Peec AI ~ €85K – €110K + equity ~ In-Office ~ Berlin (DE)
October 10, 2025 
What you’ll do Own SEO and GEO for the Peec AI brand and website Do research on GEO and share your learnings (on social media, blogs, etc.) Use our product every day and share feedback with the Product team Collaborate with our Data Scientists and AI Researchers to discover new optimization techniques Collaborate with our […]

SEO Manager ~ Minted ~ $93,274-$156,951 ~ Remote (USA)
October 10, 2025 
The Role: Minted is seeking an experienced and forward-thinking SEO Manager to manage, execute and evolve its organic search strategy. This role will be critical in helping Minted adapt to the changing landscape of Google search, AI-powered platforms and the growing role of structured content in driving discoverability. The SEO Manager will analyze, strategize, execute […]

Senior SEO Specialist ~ Ecomexperts ~ $5,500-$6,000 AUD ~ Remote (WW)
October 10, 2025 
SEO CAREER ACCELERATOR Step into the role for SEO leaders. At Ecomexperts, we don’t “do SEO”—we engineer SERP dominance. We decode Google patents, present at major conferences, and teach techniques the other 99% haven’t even seen yet. If you’re ready to lead flagship accounts, mentor a growing team, and shape the next generation of SEO […]

SEO Specialist ~ Cantaloupe, Inc. ~ $70,000 – $80,000 ~ Remote (US)
October 9, 2025 
Cantaloupe, Inc. is a global technology leader powering self-service commerce. Cantaloupe offers a comprehensive suite of solutions including micro-payment processing, self-checkout kiosks, mobile ordering, connected point of sale systems, enterprise cloud software, and marketing professional services. Handling more than a billion transactions annually, Cantaloupe’s solutions enhance operational efficiency and consumer engagement across sectors like food […]

Manager, SEO ~ Marketbridge ~ $65,000 – $82,000 per year CAD ~ Remote (Canada)
October 9, 2025 
Who We Are Marketbridge is a leading integrated growth consulting and marketing services firm tha accelerates performance from strategy through execution. We combine management consultancy with marketing agency expertise, all backed by marketing science, creative problem-solving, and technological know-how. Our integrated approach brings together teams, technology, data, strategies, processes, and plans to fuel sustainable revenue […]

SEO Content Contractor ~ Stride Learning ~ $26.83 – $40.87 per hour ~ Remote (USA)
October 9, 2025 
Job Description SUMMARY: We’re seeking an experienced Content Marketing SEO contractor to develop and execute content strategies that drive organic growth across our large-scale educational platform and network of school subdomains. This role requires expertise in educational content marketing, SEO content strategy, and building scalable content operations for multi-site educational organizations. ESSENTIAL FUNCTIONS:  Reasonable accommodations may […]

SEO/GEO Specialist ~ Perrill ~ $70k-$80k ~ Hybrid, Minnetonka MN (US)
October 8, 2025 
Perrill is an award-winning digital marketing agency that exists to power businesses to win online. We are in search of a SEO/GEO Specialist with 3-5+ years of experience to join our team of marketing professionals. As a SEO/GEO Specialist, you will work with our team of digital marketing experts to help our clients reach their […]

Off-Page SEO Specialist ~ Inspira Education Group ~ $60,000 CAD ~ Remote (CAN)
October 8, 2025 
We are currently seeking a creative and detail-oriented Off-Page SEO Specialist to join our team. In this role, you will play a vital part in strengthening the online authority of our brands (Inspira Advantage, Quad Education, and Juris Education) by identifying high-quality backlink opportunities, executing personalized outreach campaigns, and building long-term relationships with publishers, bloggers, […]

Director of Organic Growth ~ iRank LLC ~ $120k ~ Remote (US)
October 7, 2025 
Stop! This isn’t another vague, corporate B.S. job post. We’ve taken time to create this (we know, it’s long) but please read through its entirety because we’re serious about this role and we want to hire someone who is too. At iRank LLC, we’re building something bigger than a collection of websites. We started as […]

Newest PPC and paid media jobs
(Provided to Search Engine Land by PPCjobs.com) 
.wp-block-rss__item-title{padding-top:20px;}



Sr. Art Director, Paid Media ~ Hims & Hers ~ $165,000-$185,000 per year ~ Remote (USA)
October 10, 2025 
Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are […]

Director of Paid Media (Remote) ~ Maximus Health ~ $165,000-$225,000 per year ~ Remote (USA/CAN)
October 9, 2025 
Position is Remote (USA or Canada) No agencies please Maximus (https://www.maximustribe.com/) is a mission-driven consumer performance medicine telehealth company that provides men and women with content, community, and clinical support to optimize their health, wellness, and hormones. Maximus has achieved profitability, 8-figure ARR, and is doubling year over year – with a strong cash position. […]

Search Engine Marketing (SEM) Specialist ~ i2i Workforce ~ $35-$40/hour ~ Remote (USA)
October 9, 2025 
Part-Time | Contract or W2 in Colorado | Remote Pay Range: $35–$40/hour (Contract) W2 and full-time options available for the right candidate. About Crazy Good Marketing (CGM) Crazy Good Marketing is a national, full-service, fully remote marketing agency that delivers standout results—with a twist. We’re not your typical agency. Our team is made up of […]

Senior Paid Media Specialist ~ GeneDx ~ $95,000-$105,000 ~ Remote (USA)
October 8, 2025 
GeneDx (Nasdaq: WGS) delivers personalized and actionable health insights to inform diagnosis, direct treatment, and improve drug discovery. The company is uniquely positioned to accelerate the use of genomic and large-scale clinical information to enable precision medicine as the standard of care. GeneDx is at the forefront of transforming healthcare through its industry-leading exome and […]

Senior Amazon Marketing Manager — Paid Media, DSP & Growth ~ Emplicit ~ $125k – $140k / year ~ Remote (USA)
October 8, 2025 
About Emplicit Emplicit is a results-driven ecommerce agency that combines omnichannel marketing with marketplace management. We partner with consumer brands to grow sales across Amazon (US, CA, UK, EU) and marketplaces such as TikTok Shop, Walmart, and Target. We build strategy, run media, optimize catalogs and content, and deploy advanced reporting and automation to drive […]

Other roles you may be interested in
Head of PPC (Remote), Puffy (Remote)
Salary: $165,000 – $175,000
Full P&L responsibility for all paid search channels.
Campaign architecture and scaling strategy from the ground up.
Mastery and optimization of Performance Max and Shopping campaigns.
Marketing Lead, The Cake (Remote)
Salary: $180,000
Lead Generation: Design and execute digital campaigns that build measurable pipeline — not just impressions.
LinkedIn Dominance: Create and grow presence with daily content, thought leadership, and engagement.
Search Engine Optimization Specialist, Harnham (Remote)
Salary: $120,000 – $140,000
Develop and manage holistic SEO strategies that drive organic growth and align with client business goals
Conduct keyword research, competitive and technical audits, and backlink analyses
Senior Search Consultant, Career Group Search (Los Angeles, CA)
Salary: $75,000 – $100,000
 Conduct in-depth research on open positions and firms, to better navigate the market and find top talent
Source active and passive candidates using a variety of recruiting tools and techniques
SEO Sales Specialist, Digital Marketing Recruiters
Salary: $70,000 – $85,000
Build and close your pipeline from Day One (target: $50K MRR potential within 90 days).
Drive consistent outbound activity to generate sales-qualified leads (SQLs) per week through targeted prospecting and personalized outreach.
Senior Growth Product Manager, Reku (Remote)
Salary: $180,000 – $220,000
Lead our Product-Led Growth (PLG) strategy and roadmap
Build viral loops, retention drivers, and onboarding magic
Run experiments, crunch funnels, and live in the data
Growth Marketing Manager, Storm2 (Hybrid, New Jersey, US)
Salary: $100,000 – $130,000
Develop and execute data-driven growth marketing strategies.
Manage multi-channel campaigns (digital, social, influencer, partnerships).
Senior SEO Manager, The Hired Guns (Remote)
Salary: $56,000 – $84,000
You’ve worked inside WordPress and other CMS platforms, conducted full-scale technical audits, and can wield tools like Ahrefs, SEMrush, Moz, Screaming Frog, or similar like a pro.
You can explain technical work in plain terms—whether you’re coaching a team member, presenting to a client, or reporting to leadership.
Senior Marketing Campaign Manager, Citrix (Remote)
Salary: $140,000 – $252,000
Develop and lead the execution of aggressive, multi-channel compete campaigns designed to convert customers from rival companies and immediately begin creating, deepening, and progressing account intimacy.
Collaborate with teams on competitor analysis to identify strategic weaknesses, product gaps, and market opportunities that can be exploited with targeted marketing programs.
Senior Digital Marketing Manager, American Collectors Insurance (Remote)
Salary: $120,000 – $135,000
You take full ownership of the digital strategy and execution, driving measurable results and influencing the direction of the business.
You’re laser-focused on performance and get excited about delivering on aggressive 20–35%+ annual growth in new business targets through full-funnel digital marketing.
Growth Marketing Manager, Method Recruiting, a 3x Inc. 5000 company (Remote)
Salary: $120,000 
Develop and execute full-funnel growth strategies across paid, owned, and earned channels.
Manage and optimize paid digital campaigns (Meta, Google Ads, YouTube, etc.) to achieve ROI and growth targets.
Growth – SEO, CRO and Web Strategy, OpenAI (Hybrid, New York City)
Salary: $265K • Offers Equity
Design, launch, and optimize global SEO acquisition experiences across B2B and B2C segments to capture high-intent traffic.
Own technical SEO strategy and execution, including keyword research, site audits, schema implementation, internal linking, and content roadmap development to grow qualified organic traffic.
Senior Paid Media Manager, Tradeify (Remote)
Salary: $100,000 – $110,000
Strategy & Execution: Plan, launch, and scale integrated campaigns across search, social, display, and audio to hit growth goals.
Budgeting, Pacing & P&L: Forecast spend, manage pacing by channel/geo/audience, and protect efficiency (no over/underspend).
Senior Manager, Performance Marketing – Paid Social, Uber (New York, NY)
Salary: $203,000 – $225,500
Own the global strategy for paid social growth campaigns, with accountability for performance across regions and lines of business.
Architect automation and optimization frameworks in collaboration with Ad Tech and Product partners-using tools like Meta APIs, Smartly, and custom-built solutions to scale operations.
Director of Growth, Havas Media Network (Hybrid, New York City Metropolitan Area)
Salary: $135,000 – $145,000
Lead outbound prospecting for Havas Play and Havas Market, generating and qualifying new business opportunities with net-new clients.
Develop tailored outreach strategies that resonate with brand marketers, e-commerce leaders, and cultural partners.
Manager, Paid Media, WSJ, Dow Jones (Hybrid, New York, NY)
Salary: $85,000 – $105,000
Create an effective strategic framework across paid media platforms including Meta, Google Search, DV360, LinkedIn, X, Reddit and Snapchat.
Optimize media strategies to improve performance and ensure the KPI goals are met.
Are you looking to hire?
You can submit your job listing details here for free. Please include:
Job title.
Company.
Job listing URL.
Date when the job listing closes.
Where the position is located (e.g., remote, city, country).
Salary range (we will not include job listings in this article unless they include this).
Note: We update this post weekly. So make sure to bookmark this page and check back.

Land your next job in SEO or PPC. These brands and agencies are hiring to fill open search marketing positions right now.

The latest jobs in search marketing

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2025/08/How-to-tell-if-Google-Ads-automation-helps-or-hurts-your-campaigns.jpg" class="attachment-large size-large wp-post-image" alt="How to tell if Google Ads automation helps or hurts your campaigns" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/08/How-to-tell-if-Google-Ads-automation-helps-or-hurts-your-campaigns.jpg 1920w, https://searchengineland.com/wp-content/seloads/2025/08/How-to-tell-if-Google-Ads-automation-helps-or-hurts-your-campaigns-768x432.jpg 768w, https://searchengineland.com/wp-content/seloads/2025/08/How-to-tell-if-Google-Ads-automation-helps-or-hurts-your-campaigns-1536x864.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Google Ads adds image quality recommendations to help advertisers improve creative performance and engagement across its ad surfaces.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2025/08/How-to-tell-if-Google-Ads-automation-helps-or-hurts-your-campaigns.jpg" class="attachment-large size-large wp-post-image" alt="How to tell if Google Ads automation helps or hurts your campaigns" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/08/How-to-tell-if-Google-Ads-automation-helps-or-hurts-your-campaigns.jpg 1920w, https://searchengineland.com/wp-content/seloads/2025/08/How-to-tell-if-Google-Ads-automation-helps-or-hurts-your-campaigns-768x432.jpg 768w, https://searchengineland.com/wp-content/seloads/2025/08/How-to-tell-if-Google-Ads-automation-helps-or-hurts-your-campaigns-1536x864.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p>Google Ads added image quality checks to its Recommendations tab, nudging advertisers to upgrade low-performing visuals.</p>



<p><strong>How it works</strong>. The system now scans uploaded assets and suggests edits such as “copy and edit background color to white.” Advertisers can preview suggested changes and make quick fixes directly within the dashboard.</p>



<figure class="wp-block-image size-full"><img decoding="async" width="1280" height="720" src="https://searchengineland.com/wp-content/seloads/2025/10/image-recommendation.png" alt="" class="wp-image-463260" srcset="https://searchengineland.com/wp-content/seloads/2025/10/image-recommendation.png 1280w, https://searchengineland.com/wp-content/seloads/2025/10/image-recommendation-768x432.png 768w" sizes="(max-width: 1280px) 100vw, 1280px" /></figure>



<p><strong>Why we care.</strong> Image quality plays a growing role in how ads perform across surfaces like Display and Gmail – and these AI-driven tips aim to help advertisers improve engagement and delivery with cleaner, more consistent creatives.</p>



<p><strong>Bottom line</strong>. Advertisers who act on these image recommendations could see higher engagement and better placement across Google’s ad networks, making visual optimization an even more significant lever for campaign performance.</p>



<p><strong>First seen.</strong> This update was first spotted by PPC News Feed founder <a href="https://www.linkedin.com/in/hanakobzova/" target="_blank" rel="noopener">Hana Kobzová</a>.</p>


Google Ads added image quality checks to its Recommendations tab, nudging advertisers to upgrade low-performing visuals.
How it works. The system now scans uploaded assets and suggests edits such as “copy and edit background color to white.” Advertisers can preview suggested changes and make quick fixes directly within the dashboard.




Why we care. Image quality plays a growing role in how ads perform across surfaces like Display and Gmail – and these AI-driven tips aim to help advertisers improve engagement and delivery with cleaner, more consistent creatives.
Bottom line. Advertisers who act on these image recommendations could see higher engagement and better placement across Google’s ad networks, making visual optimization an even more significant lever for campaign performance.
First seen. This update was first spotted by PPC News Feed founder Hana Kobzová.

Google Ads adds image quality recommendations to help advertisers improve creative performance and engagement across its ad surfaces.

Google Ads now flags low-quality images

<div><img width="800" height="379" src="https://searchengineland.com/wp-content/seloads/2015/05/google-uk-england-1220-800x379.jpg" class="attachment-large size-large wp-post-image" alt="" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2015/05/google-uk-england-1220-800x379.jpg 800w, https://searchengineland.com/wp-content/seloads/2015/05/google-uk-england-1220-600x284.jpg 600w, https://searchengineland.com/wp-content/seloads/2015/05/google-uk-england-1220-200x95.jpg 200w, https://searchengineland.com/wp-content/seloads/2015/05/google-uk-england-1220-768x364.jpg 768w, https://searchengineland.com/wp-content/seloads/2015/05/google-uk-england-1220-150x71.jpg 150w, https://searchengineland.com/wp-content/seloads/2015/05/google-uk-england-1220.jpg 1220w" sizes="(max-width: 800px) 100vw, 800px" /></div>Thid designation of Google Search could reshape how advertisers buy, measure, and compete for visibility across search and search ads.

<div><img width="800" height="379" src="https://searchengineland.com/wp-content/seloads/2015/05/google-uk-england-1220-800x379.jpg" class="attachment-large size-large wp-post-image" alt="" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2015/05/google-uk-england-1220-800x379.jpg 800w, https://searchengineland.com/wp-content/seloads/2015/05/google-uk-england-1220-600x284.jpg 600w, https://searchengineland.com/wp-content/seloads/2015/05/google-uk-england-1220-200x95.jpg 200w, https://searchengineland.com/wp-content/seloads/2015/05/google-uk-england-1220-768x364.jpg 768w, https://searchengineland.com/wp-content/seloads/2015/05/google-uk-england-1220-150x71.jpg 150w, https://searchengineland.com/wp-content/seloads/2015/05/google-uk-england-1220.jpg 1220w" sizes="(max-width: 800px) 100vw, 800px" /></div>
<p>The UK’s Competition and Markets Authority (CMA) formally designated Google with strategic market status (SMS) in general search and search advertising. Regulators now have new powers to shape Google&#8217;s operations in these sectors.</p>



<p><strong>What’s included.</strong> The designation covers Google’s general search and search advertising services – including AI-powered features such as <a href="https://searchengineland.com/new-google-search-ai-features-to-help-you-plan-research-and-learn-440468">AI Overviews</a> and <a href="https://searchengineland.com/google-ai-mode-coming-to-chrome-browser-462220">AI Mode</a> – but excludes the Gemini AI assistant and certain news and syndication products.</p>



<ul class="wp-block-list">
<li>The CMA emphasized that the designation is not a finding of wrongdoing but enables “proportionate, targeted interventions” to ensure fair treatment for consumers and competitors.</li>
</ul>



<p><strong>Why we care.</strong> The move marks the first major application of the UK’s new Digital Markets Competition Regime, introduced in January 2025 to rein in tech giants’ dominance and promote fairer competition. It also gives UK regulators new power to shape how Google Search and its ad systems operate – potentially impacting visibility, targeting, and pricing.</p>



<p>Future interventions could alter how search ads are displayed or ranked, how data is shared, and how ad auctions work. In short, the rules governing how advertisers reach UK consumers through Google may soon change, affecting both performance and cost.</p>



<p><strong>What’s next</strong>. The CMA will begin consulting on potential interventions later this year, which could include transparency obligations, data-sharing requirements, or limits on how Google prioritizes content and ads in search results.</p>



<p><strong>The industry context</strong>. The UK joins regulators in the U.S., EU, and Japan in tightening scrutiny of digital gatekeepers. Similar efforts abroad have led to stricter interoperability and data-use rules for dominant platforms.</p>



<p><strong>Google’s response:</strong> <a href="https://blog.google/around-the-globe/google-europe/united-kingdom/cma-designation-google-search/" target="_blank" rel="noopener">Google acknowledged the designation</a>, saying it expects new regulations on how Search operates but cautioned against “unduly onerous restrictions” that could “slow product launches” and harm innovation.</p>



<ul class="wp-block-list">
<li>The company noted that Google Search contributed £118 billion to the UK economy in 2023 and argued that past regulatory overreach in other markets has cost businesses an estimated €114 billion.</li>
</ul>



<p><strong>Bottom line:</strong> <a href="https://www.gov.uk/government/news/cma-confirms-google-has-strategic-market-status-in-search-services" target="_blank" rel="noopener">The CMA’s decision</a> signals a new era of oversight for Google in the UK. While immediate changes are unlikely, advertisers, publishers, and consumers could soon see a more regulated – and possibly more competitive – search ecosystem.</p>


The UK’s Competition and Markets Authority (CMA) formally designated Google with strategic market status (SMS) in general search and search advertising. Regulators now have new powers to shape Google’s operations in these sectors.
What’s included. The designation covers Google’s general search and search advertising services – including AI-powered features such as AI Overviews and AI Mode – but excludes the Gemini AI assistant and certain news and syndication products.
The CMA emphasized that the designation is not a finding of wrongdoing but enables “proportionate, targeted interventions” to ensure fair treatment for consumers and competitors.
Why we care. The move marks the first major application of the UK’s new Digital Markets Competition Regime, introduced in January 2025 to rein in tech giants’ dominance and promote fairer competition. It also gives UK regulators new power to shape how Google Search and its ad systems operate – potentially impacting visibility, targeting, and pricing.
Future interventions could alter how search ads are displayed or ranked, how data is shared, and how ad auctions work. In short, the rules governing how advertisers reach UK consumers through Google may soon change, affecting both performance and cost.
What’s next. The CMA will begin consulting on potential interventions later this year, which could include transparency obligations, data-sharing requirements, or limits on how Google prioritizes content and ads in search results.
The industry context. The UK joins regulators in the U.S., EU, and Japan in tightening scrutiny of digital gatekeepers. Similar efforts abroad have led to stricter interoperability and data-use rules for dominant platforms.
Google’s response: Google acknowledged the designation, saying it expects new regulations on how Search operates but cautioned against “unduly onerous restrictions” that could “slow product launches” and harm innovation.
The company noted that Google Search contributed £118 billion to the UK economy in 2023 and argued that past regulatory overreach in other markets has cost businesses an estimated €114 billion.
Bottom line: The CMA’s decision signals a new era of oversight for Google in the UK. While immediate changes are unlikely, advertisers, publishers, and consumers could soon see a more regulated – and possibly more competitive – search ecosystem.

Thid designation of Google Search could reshape how advertisers buy, measure, and compete for visibility across search and search ads.

CMA designates Google Search with ‘strategic market status’

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2025/10/OpenAI-launches-Instant-Checkout-in-ChatGPT-–-bringing-agentic-commerce-to-life.jpg" class="attachment-large size-large wp-post-image" alt="OpenAI launches Instant Checkout in ChatGPT – bringing agentic commerce to life" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/10/OpenAI-launches-Instant-Checkout-in-ChatGPT-–-bringing-agentic-commerce-to-life.jpg 1920w, https://searchengineland.com/wp-content/seloads/2025/10/OpenAI-launches-Instant-Checkout-in-ChatGPT-–-bringing-agentic-commerce-to-life-768x432.jpg 768w, https://searchengineland.com/wp-content/seloads/2025/10/OpenAI-launches-Instant-Checkout-in-ChatGPT-–-bringing-agentic-commerce-to-life-1536x864.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Instant Checkout in ChatGPT connects users and merchants for secure in-chat purchases and AI-driven shopping experiences.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2025/10/OpenAI-launches-Instant-Checkout-in-ChatGPT-–-bringing-agentic-commerce-to-life.jpg" class="attachment-large size-large wp-post-image" alt="OpenAI launches Instant Checkout in ChatGPT – bringing agentic commerce to life" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/10/OpenAI-launches-Instant-Checkout-in-ChatGPT-–-bringing-agentic-commerce-to-life.jpg 1920w, https://searchengineland.com/wp-content/seloads/2025/10/OpenAI-launches-Instant-Checkout-in-ChatGPT-–-bringing-agentic-commerce-to-life-768x432.jpg 768w, https://searchengineland.com/wp-content/seloads/2025/10/OpenAI-launches-Instant-Checkout-in-ChatGPT-–-bringing-agentic-commerce-to-life-1536x864.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p>OpenAI has announced <a href="https://searchengineland.com/openai-chatgpt-instant-checkout-462727">Instant Checkout</a> on <a href="https://searchengineland.com/what-is-chatgpt-and-why-seos-should-care-392165">ChatGPT</a>.&nbsp;</p>



<p>ChatGPT acts as an intermediary agent for commerce purchases on behalf of the customer.&nbsp;</p>



<p>This provides a foundation that connects people and businesses for the next era of agentic commerce.</p>



<h2 class="wp-block-heading" id="h-what-does-the-buying-process-look-like-nbsp">What does the buying process look like?&nbsp;</h2>



<p>The Instant Checkout flow keeps ChatGPT at the center of every step – from discovery to payment confirmation.</p>



<figure class="wp-block-embed aligncenter is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<iframe title="Buy it in ChatGPT: Instant Checkout and the Agentic Commerce Protocol" width="500" height="281" src="https://www.youtube.com/embed/C6qcZdtIv54?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
</div></figure>



<ul class="wp-block-list">
<li>After finding a product through conversations with ChatGPT, the user taps “Buy” and confirms payment and shipping.</li>



<li>ChatGPT passes this signal, and the merchant then gathers fulfillment options. ChatGPT presents these options to the user who makes a selection. This information is again passed to the merchant by ChatGPT.&nbsp;</li>



<li>The merchant calculates the tax and final price. ChatGPT renders that total to the user, who then confirms the purchase. </li>



<li>ChatGPT gathers secure payment tokens and other details and passes them to the merchant. That merchant then accepts or declines the order.</li>



<li>The payment processor then charges the payment method, and confirmations cascade down the line: merchant, ChatGPT, and user.&nbsp;</li>
</ul>


<div class="wp-block-image">
<figure class="aligncenter size-full"><img decoding="async" width="1600" height="966" src="https://searchengineland.com/wp-content/seloads/2025/10/ChatGPT-Instant-Checkout-process.png" alt="ChatGPT Instant Checkout process" class="wp-image-463224" srcset="https://searchengineland.com/wp-content/seloads/2025/10/ChatGPT-Instant-Checkout-process.png 1600w, https://searchengineland.com/wp-content/seloads/2025/10/ChatGPT-Instant-Checkout-process-768x464.png 768w, https://searchengineland.com/wp-content/seloads/2025/10/ChatGPT-Instant-Checkout-process-1536x927.png 1536w" sizes="(max-width: 1600px) 100vw, 1600px" /></figure></div>


<h2 class="wp-block-heading" id="h-how-chatgpt-s-instant-checkout-stacks-up-to-perplexity-s-buy-with-pro">How ChatGPT’s Instant Checkout stacks up to Perplexity’s ‘Buy with Pro’</h2>



<p>Instant Checkout on ChatGPT<strong> </strong>sounds similar to Perplexity’s “<a href="https://www.perplexity.ai/hub/blog/shop-like-a-pro" target="_blank" rel="noopener">Buy with Pro</a>,” which launched last November.</p>



<p>The difference? ChatGPT’s version:</p>



<ul class="wp-block-list">
<li>Drops the “free shipping” perk.</li>



<li>Removes the paid-subscriber limitation.</li>



<li>Gives merchants a faster path to participate – all with the potential to scale much faster given ChatGPT’s far larger user base.</li>
</ul>



<p><strong><em>Dig deeper: <a href="https://searchengineland.com/chatgpt-shopping-ecommerce-seo-rules-462865">ChatGPT Shopping is here – and it’s changing ecommerce SEO rules</a></em></strong></p>



<div class="nl-inline-form border py-2 px-1 my-2">
	
	<div class="row align-items-center nl-inline-container">
		<div class="col-12 col-lg-3 col-xl-4 pe-md-0 pb-2 pb-lg-0">
			<p class="inline-form-text text-center mb-0">Get the newsletter search marketers rely on.</p>
		</div>
		<div class="col-12 col-lg-7 col-xl-6  pe-lg-0">
			<div class="form-nl-inline">
				<script src="https://app-sj02.marketo.com/js/forms2/js/forms2.min.js"></script> <form id="mktoForm_16298"></form> 
				
				<script>				
					MktoForms2.loadForm("https://app-sj02.marketo.com", "727-ZQE-044", 16298, function(form) {
						// form.onSubmit(function(){
						// });
						
						// form.onSuccess(function (values, followUpUrl) {
						// });
					});
				</script>
			</div>
		</div>
		<div class="col-12 col-lg-2 col-xl-2 ps-1">
			<p class="text-center mb-0" style="font-size: .75rem;"><a class="nl-terms" href="https://searchengineland.com/termsofuse" target="_blank" aria-label="opens in a new tab">See terms.</a></p>
		</div>
	</div>
</div>




<hr class="wp-block-separator has-text-color has-cyan-bluish-gray-color has-css-opacity has-cyan-bluish-gray-background-color has-background"/>



<h2 class="wp-block-heading" id="h-the-opportunity-and-early-friction-in-chatgpt-s-checkout-experience">The opportunity – and early friction – in ChatGPT’s checkout experience</h2>



<p>This underscores the importance of measuring brand and product visibility in ChatGPT and properly optimizing product feeds for agentic commerce experiences.&nbsp;</p>



<p>Though this experience is launching as organic/non-sponsored for now, we expect it’s only a matter of time before OpenAI rolls out a paid placement version.&nbsp;</p>



<p>With that noted, it remains to be seen if consumer behavior will keep up with technology.&nbsp;</p>



<p>At the moment, performing a transaction requires significant prompting and allows for limited selection, resulting in a poor user experience, at least for this first iteration. </p>



<h2 class="wp-block-heading" id="h-what-s-available-now">What’s available now?</h2>



<p>Instant Checkout is currently available for U.S. merchants who sell on Etsy, supporting single-item purchases only.</p>



<p>This is the first stage of the rollout, with more merchant integrations expected over time.</p>



<h2 class="wp-block-heading" id="h-how-merchants-can-participate">How merchants can participate</h2>



<p>Merchants who want to move forward can:</p>



<ul class="wp-block-list">
<li>Integrate their products into ChatGPT Search results.</li>



<li>Enable Instant Checkout through the Agentic Commerce Protocol (ACP).</li>
</ul>



<p>Merchants pay a small fee on completed purchases – refunded if the product is returned – while the experience remains free for users.</p>



<p>ChatGPT acts as the user’s AI agent, securely passing information between the user and the merchant. </p>



<p>ACP is designed to be straightforward to integrate and flexible across payment processors and platforms.</p>



<h2 class="wp-block-heading" id="h-how-organic-visibility-works-in-chatgpt">How organic visibility works in ChatGPT</h2>



<p>Product results are organic and unsponsored, ranked based on relevance to the user’s query and the context of the conversation.</p>



<p>The embedded shopping experience must be triggered by user intent during the conversation.&nbsp;</p>



<p>When that happens, ChatGPT displays product cards that allow users to purchase directly.</p>



<p>Instant Checkout items do not receive preferential ranking, according to OpenAI.</p>



<p>However, when multiple merchants sell the same product, ChatGPT considers:</p>



<ul class="wp-block-list">
<li>Availability.</li>



<li>Price.</li>



<li>Quality.</li>



<li>Whether the merchant is a primary seller.</li>



<li>Whether Instant Checkout is enabled to optimize the experience.</li>
</ul>



<p><strong><em>Dig deeper: <a href="https://searchengineland.com/chatgpt-search-ranking-products-merchants-455072">How ChatGPT search ranks products and merchants</a></em></strong></p>



<h2 class="wp-block-heading" id="h-how-orders-payments-and-fulfillment-work">How orders, payments, and fulfillment work</h2>



<p>Orders, payments, and fulfillment are handled by the merchant using their existing systems. Stripe users can enable payments with a single line of code.</p>



<p>When someone places an order, ChatGPT sends the necessary details to the merchant’s backend via ACP.&nbsp;</p>



<p>The merchant then:</p>



<ul class="wp-block-list">
<li>Accepts or declines the order.</li>



<li>Processes the payment.</li>



<li>Manages fulfillment and customer support as usual.</li>
</ul>



<h2 class="wp-block-heading" id="h-what-s-still-evolving-nbsp">What’s still evolving&nbsp;</h2>



<p>Many details are still emerging around how ChatGPT will operate the broader Instant Checkout function.&nbsp;</p>



<p>Our team is closely tracking several areas, including:</p>



<ul class="wp-block-list">
<li><strong>Fees and cost structure:</strong> While OpenAI has said merchants will pay a small fee on completed purchases, the exact amount has not been disclosed.</li>



<li><strong>Shopify integrations: </strong>These are next in line, opening Instant Checkout to more than a million Shopify merchants once available. The specific steps for merchants to activate and run the integration have not yet been detailed by OpenAI.</li>



<li><strong>Beyond Shopify: </strong>Additional merchant integrations are in development.</li>



<li><strong>Revenue optimization capabilities: </strong>Basket size, cross-sell, and up-sell functionality – including support for multi-item transactions – are still being defined.</li>



<li><strong>Global reach:</strong> For now, Instant Checkout is limited to U.S. consumers.</li>
</ul>



<p><strong><em>Dig deeper: <a href="https://searchengineland.com/insights-chatgpt-agent-mode-463127">When AI agents do the shopping: Insights from 100 conversations with ChatGPT Agent mode</a></em></strong></p>



<h2 class="wp-block-heading" id="h-preparing-product-feeds">Preparing product feeds</h2>



<p>Now is the time for merchants to review how complete and descriptive their product data is.</p>



<p>Feed quality directly impacts how well ChatGPT can match products to conversational prompts and generate accurate responses.</p>



<p>There are key aspects of a client’s feed that can help determine fit:</p>



<ul class="wp-block-list">
<li>Are key product descriptors present – especially those that influence customer decisions? In the conversational context of ChatGPT queries, these attributes carry high value.</li>



<li>How complete is the product schema? The more structured information provided, the more effectively ChatGPT can reference those details in responses.</li>
</ul>



<p>Example: height, width, and depth measurements of a nightstand.</p>



<p>The richer and more structured your feed, the stronger your visibility potential in ChatGPT’s embedded shopping experience.</p>



<h2 class="wp-block-heading" id="h-next-steps-for-merchants">Next steps for merchants</h2>



<p>Merchants can apply through OpenAI’s <a href="https://chatgpt.com/merchants?openaicom_referred=true" target="_blank" rel="noopener">Instant Checkout form</a>. (Etsy and Shopify sellers are automatically covered.)</p>



<p>OpenAI will onboard eligible merchants on a rolling basis.</p>



<p>In the meantime:</p>



<ul class="wp-block-list">
<li>Prepare and validate your <a href="https://developers.openai.com/commerce/specs/feed" target="_blank" rel="noopener">product feeds</a>.</li>



<li>Begin <a href="https://developers.openai.com/commerce" target="_blank" rel="noopener">building integrations</a>.</li>



<li>Track organic product visibility within ChatGPT’s shopping experience.</li>



<li>Optimize product pages for high-intent prompts that trigger embedded shopping.</li>
</ul>

OpenAI has announced Instant Checkout on ChatGPT. 
ChatGPT acts as an intermediary agent for commerce purchases on behalf of the customer. 
This provides a foundation that connects people and businesses for the next era of agentic commerce.
What does the buying process look like? 
The Instant Checkout flow keeps ChatGPT at the center of every step – from discovery to payment confirmation.







After finding a product through conversations with ChatGPT, the user taps “Buy” and confirms payment and shipping.
ChatGPT passes this signal, and the merchant then gathers fulfillment options. ChatGPT presents these options to the user who makes a selection. This information is again passed to the merchant by ChatGPT. 
The merchant calculates the tax and final price. ChatGPT renders that total to the user, who then confirms the purchase. 
ChatGPT gathers secure payment tokens and other details and passes them to the merchant. That merchant then accepts or declines the order.
The payment processor then charges the payment method, and confirmations cascade down the line: merchant, ChatGPT, and user. 

How ChatGPT’s Instant Checkout stacks up to Perplexity’s ‘Buy with Pro’
Instant Checkout on ChatGPT sounds similar to Perplexity’s “Buy with Pro,” which launched last November.
The difference? ChatGPT’s version:
Drops the “free shipping” perk.
Removes the paid-subscriber limitation.
Gives merchants a faster path to participate – all with the potential to scale much faster given ChatGPT’s far larger user base.
Dig deeper: ChatGPT Shopping is here – and it’s changing ecommerce SEO rules
Get the newsletter search marketers rely on.
  
				
								
					MktoForms2.loadForm("https://app-sj02.marketo.com", "727-ZQE-044", 16298, function(form) {
						// form.onSubmit(function(){
						// });
						
						// form.onSuccess(function (values, followUpUrl) {
						// });
					});
				
			
See terms.
The opportunity – and early friction – in ChatGPT’s checkout experience
This underscores the importance of measuring brand and product visibility in ChatGPT and properly optimizing product feeds for agentic commerce experiences. 
Though this experience is launching as organic/non-sponsored for now, we expect it’s only a matter of time before OpenAI rolls out a paid placement version. 
With that noted, it remains to be seen if consumer behavior will keep up with technology. 
At the moment, performing a transaction requires significant prompting and allows for limited selection, resulting in a poor user experience, at least for this first iteration. 
What’s available now?
Instant Checkout is currently available for U.S. merchants who sell on Etsy, supporting single-item purchases only.
This is the first stage of the rollout, with more merchant integrations expected over time.
How merchants can participate
Merchants who want to move forward can:
Integrate their products into ChatGPT Search results.
Enable Instant Checkout through the Agentic Commerce Protocol (ACP).
Merchants pay a small fee on completed purchases – refunded if the product is returned – while the experience remains free for users.
ChatGPT acts as the user’s AI agent, securely passing information between the user and the merchant. 
ACP is designed to be straightforward to integrate and flexible across payment processors and platforms.
How organic visibility works in ChatGPT
Product results are organic and unsponsored, ranked based on relevance to the user’s query and the context of the conversation.
The embedded shopping experience must be triggered by user intent during the conversation. 
When that happens, ChatGPT displays product cards that allow users to purchase directly.
Instant Checkout items do not receive preferential ranking, according to OpenAI.
However, when multiple merchants sell the same product, ChatGPT considers:
Availability.
Price.
Quality.
Whether the merchant is a primary seller.
Whether Instant Checkout is enabled to optimize the experience.
Dig deeper: How ChatGPT search ranks products and merchants
How orders, payments, and fulfillment work
Orders, payments, and fulfillment are handled by the merchant using their existing systems. Stripe users can enable payments with a single line of code.
When someone places an order, ChatGPT sends the necessary details to the merchant’s backend via ACP. 
The merchant then:
Accepts or declines the order.
Processes the payment.
Manages fulfillment and customer support as usual.
What’s still evolving 
Many details are still emerging around how ChatGPT will operate the broader Instant Checkout function. 
Our team is closely tracking several areas, including:
Fees and cost structure: While OpenAI has said merchants will pay a small fee on completed purchases, the exact amount has not been disclosed.
Shopify integrations: These are next in line, opening Instant Checkout to more than a million Shopify merchants once available. The specific steps for merchants to activate and run the integration have not yet been detailed by OpenAI.
Beyond Shopify: Additional merchant integrations are in development.
Revenue optimization capabilities: Basket size, cross-sell, and up-sell functionality – including support for multi-item transactions – are still being defined.
Global reach: For now, Instant Checkout is limited to U.S. consumers.
Dig deeper: When AI agents do the shopping: Insights from 100 conversations with ChatGPT Agent mode
Preparing product feeds
Now is the time for merchants to review how complete and descriptive their product data is.
Feed quality directly impacts how well ChatGPT can match products to conversational prompts and generate accurate responses.
There are key aspects of a client’s feed that can help determine fit:
Are key product descriptors present – especially those that influence customer decisions? In the conversational context of ChatGPT queries, these attributes carry high value.
How complete is the product schema? The more structured information provided, the more effectively ChatGPT can reference those details in responses.
Example: height, width, and depth measurements of a nightstand.
The richer and more structured your feed, the stronger your visibility potential in ChatGPT’s embedded shopping experience.
Next steps for merchants
Merchants can apply through OpenAI’s Instant Checkout form. (Etsy and Shopify sellers are automatically covered.)
OpenAI will onboard eligible merchants on a rolling basis.
In the meantime:
Prepare and validate your product feeds.
Begin building integrations.
Track organic product visibility within ChatGPT’s shopping experience.
Optimize product pages for high-intent prompts that trigger embedded shopping.

Instant Checkout in ChatGPT connects users and merchants for secure in-chat purchases and AI-driven shopping experiences.

Instant Checkout in ChatGPT brings agentic commerce to life

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2025/10/ChatGPT-Image-How-different-AI-engines-generate-and-cite-answers.png" class="attachment-large size-large wp-post-image" alt="How different AI engines generate and cite answers" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/10/ChatGPT-Image-How-different-AI-engines-generate-and-cite-answers.png 1920w, https://searchengineland.com/wp-content/seloads/2025/10/ChatGPT-Image-How-different-AI-engines-generate-and-cite-answers-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2025/10/ChatGPT-Image-How-different-AI-engines-generate-and-cite-answers-1536x864.png 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>See how ChatGPT, Perplexity, Gemini, Claude, and DeepSeek differ in data sources, live web use, citation rules, and more.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2025/10/ChatGPT-Image-How-different-AI-engines-generate-and-cite-answers.png" class="attachment-large size-large wp-post-image" alt="How different AI engines generate and cite answers" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/10/ChatGPT-Image-How-different-AI-engines-generate-and-cite-answers.png 1920w, https://searchengineland.com/wp-content/seloads/2025/10/ChatGPT-Image-How-different-AI-engines-generate-and-cite-answers-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2025/10/ChatGPT-Image-How-different-AI-engines-generate-and-cite-answers-1536x864.png 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p>Generative AI is no longer a single thing.&nbsp;</p>



<p>Ask, “<a href="https://searchengineland.com/best-generative-ai-tool-writing-pr-content-432261">What is the best generative AI tool for writing PR content?</a>” or “<a href="https://searchengineland.com/is-keyword-targeting-as-impossible-as-spinning-straw-into-gold-454205">Is keyword targeting as impossible as spinning straw into gold?</a>,” and each engine will take a different route from prompt to answer.</p>



<p>For writers, editors, PR pros, and content strategists, those routes matter – every AI system has its own strengths, transparency, and expectations for how to check, edit, and cite what it produces.</p>



<p>This article covers the top AI platforms – <a href="https://searchengineland.com/what-is-chatgpt-and-why-seos-should-care-392165">ChatGPT</a> (OpenAI), <a href="https://searchengineland.com/perplexity-ai-exploring-ai-powered-search-beyond-google-439879">Perplexity</a>, Google’s <a href="https://searchengineland.com/use-google-gemini-seo-433357">Gemini</a>, <a href="https://searchengineland.com/deepseek-seo-452008">DeepSeek</a>, and Claude (Anthropic) – and explains how they:</p>



<ul class="wp-block-list">
<li>Find and synthesize information.</li>



<li>Source and train on data.</li>



<li>Use or skip the live web.</li>



<li>Handle citation and visibility for content creators.</li>
</ul>



<h2 class="wp-block-heading" id="h-the-mechanics-behind-every-ai-answer">The mechanics behind every AI answer</h2>



<p>Generative AI engines are built on two core architectures – model-native synthesis and retrieval-augmented generation (RAG).</p>



<p>Every platform relies on a different blend of these approaches, which explains why some engines cite sources while others generate text purely from memory.</p>



<h3 class="wp-block-heading" id="h-model-native-synthesis">Model-native synthesis</h3>



<p>The engine generates answers from what’s “in” the model: patterns learned during training (text corpora, books, websites, licensed datasets).&nbsp;</p>



<p>This is fast and coherent, but it can hallucinate facts because the model creates text from probabilistic knowledge rather than quoting live sources.</p>



<h3 class="wp-block-heading" id="h-retrieval-augmented-generation">Retrieval-augmented generation</h3>



<p>The engine:</p>



<ul class="wp-block-list">
<li>Performs a live retrieval step (searching a corpus or the web).</li>



<li>Pulls back relevant documents or snippets.</li>



<li>Then synthesizes a response grounded in those retrieved items.&nbsp;</li>
</ul>



<p>RAG trades a bit of speed for better traceability and easier citation.</p>



<p>Different products sit at different points on this spectrum.</p>



<p>The differences explain why some answers come with sources and links while others feel like confident – but unreferenced – explanations.</p>



<h2 class="wp-block-heading" id="h-chatgpt-openai-model-first-live-web-when-enabled">ChatGPT (OpenAI): Model-first, live-web when enabled</h2>



<h3 class="wp-block-heading" id="h-how-it-s-built">How it’s built</h3>



<p>ChatGPT’s family (<a href="https://openai.com/index/chatgpt/" target="_blank" rel="noopener">GPT models</a>) are trained on massive text datasets – public web text, books, licensed material, and human feedback – so the baseline model generates answers from stored patterns.&nbsp;</p>



<p>OpenAI documents this model-native process as the core of ChatGPT’s behavior.</p>



<h3 class="wp-block-heading" id="h-live-web-and-plugins">Live web and plugins</h3>



<p>By default, ChatGPT answers from its training data and does not continuously crawl the web.&nbsp;</p>



<p>However, OpenAI added explicit ways to access live data – plugins and browsing features – that let the model call out to live sources or tools (web search, databases, calculators).&nbsp;</p>



<p>When those are enabled, ChatGPT can behave like a RAG system and return answers grounded in current web content.</p>



<h3 class="wp-block-heading" id="h-citations-and-visibility">Citations and visibility</h3>



<p>Without plugins, ChatGPT typically does not supply source links.</p>



<p>With retrieval or plugins enabled, it can include citations or source attributions depending on the integration.&nbsp;</p>



<p>For writers: expect model-native answers to require fact-checking and sourcing before publication.</p>



<h2 class="wp-block-heading" id="h-perplexity-designed-around-live-web-retrieval-and-citations">Perplexity: Designed around live web retrieval and citations</h2>



<h3 class="wp-block-heading" id="h-how-it-s-built-0">How it’s built</h3>



<p>Perplexity positions itself as an “answer engine” that searches the web in real time and synthesizes concise answers based on retrieved documents.&nbsp;</p>



<p>It defaults to retrieval-first behavior: query → live search → synthesize → cite.</p>



<h3 class="wp-block-heading" id="h-live-web-and-citations">Live web and citations</h3>



<p>Perplexity actively uses live web results and frequently displays inline citations to the sources it used.&nbsp;</p>



<p>That makes Perplexity attractive for tasks where a traceable link to evidence matters – research briefs, competitive intel, or quick fact-checking.&nbsp;</p>



<p>Because it’s retrieving from the web each time, its answers can be more current, and its citations give editors a direct place to verify claims.</p>



<h3 class="wp-block-heading" id="h-caveat-for-creators">Caveat for creators</h3>



<p>Perplexity’s choice of sources follows its own retrieval heuristics.&nbsp;</p>



<p>Being cited by Perplexity isn’t the same as ranking well in Google.&nbsp;</p>



<p>Still, Perplexity’s visible citations make it easier for writers to copy a draft and then verify each claim against the cited pages before publishing.</p>



<p><strong><em>Dig deeper: </em></strong><a href="https://searchengineland.com/how-perplexity-ranks-content-research-460031"><strong><em>How Perplexity ranks content: Research uncovers core ranking factors and systems</em></strong></a></p>



<h2 class="wp-block-heading" id="h-google-gemini-multimodal-models-tied-into-google-s-search-and-knowledge-graph">Google Gemini: Multimodal models tied into Google’s search and knowledge graph</h2>



<h3 class="wp-block-heading" id="h-how-it-s-built-1">How it’s built</h3>



<p>Gemini (the successor family to earlier Google models) is a multimodal LLM developed by <a href="https://deepmind.google/models/gemini/" target="_blank" rel="noopener">Google/DeepMind</a>.&nbsp;</p>



<p>It’s optimized for language, reasoning, and multimodal inputs (text, images, audio).&nbsp;</p>



<p>Google has explicitly folded generative capabilities into Search and its AI Overviews to answer complex queries.</p>



<h3 class="wp-block-heading" id="h-live-web-and-integration">Live web and integration</h3>



<p>Because Google controls a live index and the Knowledge Graph, <a href="https://blog.google/products/search/generative-ai-google-search-may-2024/" target="_blank" rel="noopener">Gemini-powered experiences</a> are commonly integrated directly with live search.&nbsp;</p>



<p>In practice, this means Gemini can provide up-to-date answers and often surface links or snippets from indexed pages.&nbsp;</p>



<p>The line between “search result” and “AI-generated overview” blurs in Google’s products.</p>



<h3 class="wp-block-heading" id="h-citations-and-attribution">Citations and attribution</h3>



<p>Google’s generative answers typically show source links (or at least point to source pages in the UI).&nbsp;</p>



<p>For publishers, this creates both an opportunity (your content can be quoted in an AI overview) and a risk (users may get a summarized answer without clicking through).&nbsp;</p>



<p>That makes clear, succinct headings and easily machine-readable factual content valuable.</p>



<div class="nl-inline-form border py-2 px-1 my-2">
	
	<div class="row align-items-center nl-inline-container">
		<div class="col-12 col-lg-3 col-xl-4 pe-md-0 pb-2 pb-lg-0">
			<p class="inline-form-text text-center mb-0">Get the newsletter search marketers rely on.</p>
		</div>
		<div class="col-12 col-lg-7 col-xl-6  pe-lg-0">
			<div class="form-nl-inline">
				<script src="https://app-sj02.marketo.com/js/forms2/js/forms2.min.js"></script> <form id="mktoForm_16298"></form> 
				
				<script>				
					MktoForms2.loadForm("https://app-sj02.marketo.com", "727-ZQE-044", 16298, function(form) {
						// form.onSubmit(function(){
						// });
						
						// form.onSuccess(function (values, followUpUrl) {
						// });
					});
				</script>
			</div>
		</div>
		<div class="col-12 col-lg-2 col-xl-2 ps-1">
			<p class="text-center mb-0" style="font-size: .75rem;"><a class="nl-terms" href="https://searchengineland.com/termsofuse" target="_blank" aria-label="opens in a new tab">See terms.</a></p>
		</div>
	</div>
</div>




<hr class="wp-block-separator has-text-color has-cyan-bluish-gray-color has-css-opacity has-cyan-bluish-gray-background-color has-background"/>



<h2 class="wp-block-heading" id="h-anthropic-s-claude-safety-first-models-with-selective-web-search">Anthropic’s Claude: Safety-first models, with selective web search</h2>



<h3 class="wp-block-heading" id="h-how-it-s-built-2">How it’s built</h3>



<p><a href="https://www.anthropic.com/news/claude-3-family/" target="_blank" rel="noopener">Anthropic’s Claude</a> models are trained on large corpora and tuned with safety and helpfulness in mind.&nbsp;</p>



<p>Recent Claude models (Claude 3 family) are designed for speed and high-context tasks.</p>



<h3 class="wp-block-heading" id="h-live-web">Live web</h3>



<p>Anthropic recently <a href="https://www.anthropic.com/news/web-search/" target="_blank" rel="noopener">added web search capabilities</a> to Claude, allowing it to access live information when needed.</p>



<p>With web search rolling out in 2025, Claude can now operate in two modes – model-native or retrieval-augmented – depending on the query.</p>



<h3 class="wp-block-heading" id="h-privacy-and-training-data">Privacy and training data</h3>



<p>Anthropic’s policies around using customer conversations for training have evolved.&nbsp;</p>



<p>Creators and enterprises should check current privacy settings for how conversation data is handled (opt-out options vary by account type).&nbsp;</p>



<p>This affects whether the producer edits or proprietary facts you feed into Claude could be used to improve the underlying model.</p>



<h2 class="wp-block-heading" id="h-deepseek-emerging-player-with-region-specific-stacks">DeepSeek: Emerging player with region-specific stacks</h2>



<h3 class="wp-block-heading" id="h-how-it-s-built-3">How it’s built</h3>



<p>DeepSeek (and similar newer companies) offers LLMs trained on large datasets, often with engineering choices that optimize them for particular hardware stacks or languages.&nbsp;</p>



<p>DeepSeek in particular has focused on optimization for non-NVIDIA accelerators and rapid iteration of model families.&nbsp;</p>



<p>Their models are primarily trained offline on large corpora, but can be deployed with retrieval layers.</p>



<h3 class="wp-block-heading" id="h-live-web-and-deployments">Live web and deployments</h3>



<p>Whether a DeepSeek-powered application uses live web retrieval depends on the integration.</p>



<p>Some deployments are pure model-native inference, others add RAG layers that query internal or external corpora.&nbsp;</p>



<p>Because DeepSeek is a smaller/younger player compared with Google or OpenAI, integrations vary considerably by customer and region.</p>



<h3 class="wp-block-heading" id="h-for-content-creators">For content creators</h3>



<p>Watch for differences in language quality, citation behavior, and regional content priorities.</p>



<p>Newer models sometimes emphasize certain languages, domain coverage, or hardware-optimized performance that affects responsiveness for long-context documents.</p>



<h2 class="wp-block-heading" id="h-practical-differences-that-matter-to-writers-and-editors">Practical differences that matter to writers and editors</h2>



<p>Even with similar prompts, AI engines don’t produce the same kind of answers – or carry the same editorial implications.</p>



<p>Four factors matter most for writers, editors, and content teams:</p>



<h3 class="wp-block-heading" id="h-recency">Recency</h3>



<p>Engines that pull from the live web – such as Perplexity, Gemini, and Claude with search enabled – surface more current information.</p>



<p>Model-native systems like ChatGPT without browsing rely on training data that may lag behind real-world events.</p>



<p>If accuracy or freshness is critical, use retrieval-enabled tools or verify every claim against a primary source.</p>



<h3 class="wp-block-heading" id="h-traceability-and-verification">Traceability and verification</h3>



<p>Retrieval-first engines display citations and make it easier to confirm facts.</p>



<p>Model-native systems often provide fluent but unsourced text, requiring a manual fact-check.</p>



<p>Editors should plan extra review time for any AI-generated draft that lacks visible attribution.</p>



<h3 class="wp-block-heading" id="h-attribution-and-visibility">Attribution and visibility</h3>



<p>Some interfaces show inline citations or source lists; others reveal nothing unless users enable plugins.</p>



<p>That inconsistency affects how much verification and editing a team must do before publication – and how likely a site is to earn credit when cited by AI platforms.</p>



<h3 class="wp-block-heading" id="h-privacy-and-training-reuse">Privacy and training reuse</h3>



<p>Each provider handles user data differently.</p>



<p>Some allow opt-outs from model training. Others retain conversation data by default.</p>



<p>Writers should avoid feeding confidential or proprietary material into consumer versions of these tools and use enterprise deployments when available.</p>



<h3 class="wp-block-heading" id="h-applying-these-differences-in-your-workflow">Applying these differences in your workflow</h3>



<p>Understanding these differences helps teams design responsible workflows:</p>



<ul class="wp-block-list">
<li>Match the engine to the task – retrieval tools for research, model-native tools for drafting or style.</li>



<li>Keep citation hygiene non-negotiable. Verify before publishing.</li>



<li>Treat AI output as a starting point, not a finished product.</li>
</ul>



<h2 class="wp-block-heading" id="h-understanding-ai-engines-matters-for-visibility">Understanding AI engines matters for visibility</h2>



<p>Different AI engines take different routes from prompt to answer.&nbsp;</p>



<p>Some rely on stored knowledge, others pull live data, and many now combine both.&nbsp;</p>



<p>For writers and content teams, that distinction matters – it shapes how information is retrieved, cited, and ultimately surfaced to audiences.</p>



<p>Matching the engine to the task, verifying outputs against primary sources, and layering in human expertise remain non-negotiable.&nbsp;</p>



<p>The editorial fundamentals haven’t changed. They’ve simply become more visible in an AI-driven landscape.</p>



<p>As Rand Fishkin <a href="https://sparktoro.com/blog/make-something-people-want-to-talk-about/" target="_blank" rel="noopener">recently noted</a>, it’s no longer enough to create something people want to read – you have to create something people want to talk about.&nbsp;</p>



<p>In a world where AI platforms summarize and synthesize at scale, attention becomes the new distribution engine.</p>



<p>For search and marketing professionals, that means visibility depends on more than originality or <a href="https://searchengineland.com/google-e-e-a-t-guide-seo-394191">E-E-A-T</a>.&nbsp;</p>



<p>It now includes how clearly your ideas can be retrieved, cited, and shared across human and machine audiences alike.</p>



<p></p>

Generative AI is no longer a single thing. 
Ask, “What is the best generative AI tool for writing PR content?” or “Is keyword targeting as impossible as spinning straw into gold?,” and each engine will take a different route from prompt to answer.
For writers, editors, PR pros, and content strategists, those routes matter – every AI system has its own strengths, transparency, and expectations for how to check, edit, and cite what it produces.
This article covers the top AI platforms – ChatGPT (OpenAI), Perplexity, Google’s Gemini, DeepSeek, and Claude (Anthropic) – and explains how they:
Find and synthesize information.
Source and train on data.
Use or skip the live web.
Handle citation and visibility for content creators.
The mechanics behind every AI answer
Generative AI engines are built on two core architectures – model-native synthesis and retrieval-augmented generation (RAG).
Every platform relies on a different blend of these approaches, which explains why some engines cite sources while others generate text purely from memory.
Model-native synthesis
The engine generates answers from what’s “in” the model: patterns learned during training (text corpora, books, websites, licensed datasets). 
This is fast and coherent, but it can hallucinate facts because the model creates text from probabilistic knowledge rather than quoting live sources.
Retrieval-augmented generation
The engine:
Performs a live retrieval step (searching a corpus or the web).
Pulls back relevant documents or snippets.
Then synthesizes a response grounded in those retrieved items. 
RAG trades a bit of speed for better traceability and easier citation.
Different products sit at different points on this spectrum.
The differences explain why some answers come with sources and links while others feel like confident – but unreferenced – explanations.
ChatGPT (OpenAI): Model-first, live-web when enabled
How it’s built
ChatGPT’s family (GPT models) are trained on massive text datasets – public web text, books, licensed material, and human feedback – so the baseline model generates answers from stored patterns. 
OpenAI documents this model-native process as the core of ChatGPT’s behavior.
Live web and plugins
By default, ChatGPT answers from its training data and does not continuously crawl the web. 
However, OpenAI added explicit ways to access live data – plugins and browsing features – that let the model call out to live sources or tools (web search, databases, calculators). 
When those are enabled, ChatGPT can behave like a RAG system and return answers grounded in current web content.
Citations and visibility
Without plugins, ChatGPT typically does not supply source links.
With retrieval or plugins enabled, it can include citations or source attributions depending on the integration. 
For writers: expect model-native answers to require fact-checking and sourcing before publication.
Perplexity: Designed around live web retrieval and citations
How it’s built
Perplexity positions itself as an “answer engine” that searches the web in real time and synthesizes concise answers based on retrieved documents. 
It defaults to retrieval-first behavior: query → live search → synthesize → cite.
Live web and citations
Perplexity actively uses live web results and frequently displays inline citations to the sources it used. 
That makes Perplexity attractive for tasks where a traceable link to evidence matters – research briefs, competitive intel, or quick fact-checking. 
Because it’s retrieving from the web each time, its answers can be more current, and its citations give editors a direct place to verify claims.
Caveat for creators
Perplexity’s choice of sources follows its own retrieval heuristics. 
Being cited by Perplexity isn’t the same as ranking well in Google. 
Still, Perplexity’s visible citations make it easier for writers to copy a draft and then verify each claim against the cited pages before publishing.
Dig deeper: How Perplexity ranks content: Research uncovers core ranking factors and systems
Google Gemini: Multimodal models tied into Google’s search and knowledge graph
How it’s built
Gemini (the successor family to earlier Google models) is a multimodal LLM developed by Google/DeepMind. 
It’s optimized for language, reasoning, and multimodal inputs (text, images, audio). 
Google has explicitly folded generative capabilities into Search and its AI Overviews to answer complex queries.
Live web and integration
Because Google controls a live index and the Knowledge Graph, Gemini-powered experiences are commonly integrated directly with live search. 
In practice, this means Gemini can provide up-to-date answers and often surface links or snippets from indexed pages. 
The line between “search result” and “AI-generated overview” blurs in Google’s products.
Citations and attribution
Google’s generative answers typically show source links (or at least point to source pages in the UI). 
For publishers, this creates both an opportunity (your content can be quoted in an AI overview) and a risk (users may get a summarized answer without clicking through). 
That makes clear, succinct headings and easily machine-readable factual content valuable.
Get the newsletter search marketers rely on.
  
				
								
					MktoForms2.loadForm("https://app-sj02.marketo.com", "727-ZQE-044", 16298, function(form) {
						// form.onSubmit(function(){
						// });
						
						// form.onSuccess(function (values, followUpUrl) {
						// });
					});
				
			
See terms.
Anthropic’s Claude: Safety-first models, with selective web search
How it’s built
Anthropic’s Claude models are trained on large corpora and tuned with safety and helpfulness in mind. 
Recent Claude models (Claude 3 family) are designed for speed and high-context tasks.
Live web
Anthropic recently added web search capabilities to Claude, allowing it to access live information when needed.
With web search rolling out in 2025, Claude can now operate in two modes – model-native or retrieval-augmented – depending on the query.
Privacy and training data
Anthropic’s policies around using customer conversations for training have evolved. 
Creators and enterprises should check current privacy settings for how conversation data is handled (opt-out options vary by account type). 
This affects whether the producer edits or proprietary facts you feed into Claude could be used to improve the underlying model.
DeepSeek: Emerging player with region-specific stacks
How it’s built
DeepSeek (and similar newer companies) offers LLMs trained on large datasets, often with engineering choices that optimize them for particular hardware stacks or languages. 
DeepSeek in particular has focused on optimization for non-NVIDIA accelerators and rapid iteration of model families. 
Their models are primarily trained offline on large corpora, but can be deployed with retrieval layers.
Live web and deployments
Whether a DeepSeek-powered application uses live web retrieval depends on the integration.
Some deployments are pure model-native inference, others add RAG layers that query internal or external corpora. 
Because DeepSeek is a smaller/younger player compared with Google or OpenAI, integrations vary considerably by customer and region.
For content creators
Watch for differences in language quality, citation behavior, and regional content priorities.
Newer models sometimes emphasize certain languages, domain coverage, or hardware-optimized performance that affects responsiveness for long-context documents.
Practical differences that matter to writers and editors
Even with similar prompts, AI engines don’t produce the same kind of answers – or carry the same editorial implications.
Four factors matter most for writers, editors, and content teams:
Recency
Engines that pull from the live web – such as Perplexity, Gemini, and Claude with search enabled – surface more current information.
Model-native systems like ChatGPT without browsing rely on training data that may lag behind real-world events.
If accuracy or freshness is critical, use retrieval-enabled tools or verify every claim against a primary source.
Traceability and verification
Retrieval-first engines display citations and make it easier to confirm facts.
Model-native systems often provide fluent but unsourced text, requiring a manual fact-check.
Editors should plan extra review time for any AI-generated draft that lacks visible attribution.
Attribution and visibility
Some interfaces show inline citations or source lists; others reveal nothing unless users enable plugins.
That inconsistency affects how much verification and editing a team must do before publication – and how likely a site is to earn credit when cited by AI platforms.
Privacy and training reuse
Each provider handles user data differently.
Some allow opt-outs from model training. Others retain conversation data by default.
Writers should avoid feeding confidential or proprietary material into consumer versions of these tools and use enterprise deployments when available.
Applying these differences in your workflow
Understanding these differences helps teams design responsible workflows:
Match the engine to the task – retrieval tools for research, model-native tools for drafting or style.
Keep citation hygiene non-negotiable. Verify before publishing.
Treat AI output as a starting point, not a finished product.
Understanding AI engines matters for visibility
Different AI engines take different routes from prompt to answer. 
Some rely on stored knowledge, others pull live data, and many now combine both. 
For writers and content teams, that distinction matters – it shapes how information is retrieved, cited, and ultimately surfaced to audiences.
Matching the engine to the task, verifying outputs against primary sources, and layering in human expertise remain non-negotiable. 
The editorial fundamentals haven’t changed. They’ve simply become more visible in an AI-driven landscape.
As Rand Fishkin recently noted, it’s no longer enough to create something people want to read – you have to create something people want to talk about. 
In a world where AI platforms summarize and synthesize at scale, attention becomes the new distribution engine.
For search and marketing professionals, that means visibility depends on more than originality or E-E-A-T. 
It now includes how clearly your ideas can be retrieved, cited, and shared across human and machine audiences alike.

See how ChatGPT, Perplexity, Gemini, Claude, and DeepSeek differ in data sources, live web use, citation rules, and more.

How different AI engines generate and cite answers

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2025/10/Semrush-SEL-20251010.png" class="attachment-large size-large wp-post-image" alt="" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/10/Semrush-SEL-20251010.png 1920w, https://searchengineland.com/wp-content/seloads/2025/10/Semrush-SEL-20251010-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2025/10/Semrush-SEL-20251010-1536x864.png 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Are you wasting crawl budget on the wrong pages? Learn how to protect revenue with smarter crawl strategies.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2025/10/Semrush-SEL-20251010.png" class="attachment-large size-large wp-post-image" alt="" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/10/Semrush-SEL-20251010.png 1920w, https://searchengineland.com/wp-content/seloads/2025/10/Semrush-SEL-20251010-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2025/10/Semrush-SEL-20251010-1536x864.png 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div><div class="wp-block-image">
<figure class="aligncenter size-full"><img decoding="async" width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2025/10/Semrush-SEL-20251010.png" alt="" class="wp-image-463054" srcset="https://searchengineland.com/wp-content/seloads/2025/10/Semrush-SEL-20251010.png 1920w, https://searchengineland.com/wp-content/seloads/2025/10/Semrush-SEL-20251010-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2025/10/Semrush-SEL-20251010-1536x864.png 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></figure></div>


<p>While online discussion obsesses over whether ChatGPT spells the end of Google, websites are losing revenue from a far more real and immediate problem: some of their most valuable pages are invisible to the systems that matter.</p>



<p>Because while the bots have changed, the game hasn&#8217;t. Your website content needs to be crawlable.&nbsp;</p>



<p>Between May 2024 and May 2025, <a href="https://blog.cloudflare.com/from-googlebot-to-gptbot-whos-crawling-your-site-in-2025/" target="_blank" rel="noopener sponsored nofollow">AI crawler traffic surged by 96%</a>, with GPTBot&#8217;s share jumping from 5% to 30%. But this growth isn&#8217;t replacing traditional search traffic.<a href="https://www.semrush.com/blog/google-usage-after-chatgpt-adoption/">&nbsp;</a></p>



<p><a href="https://www.semrush.com/blog/google-usage-after-chatgpt-adoption/" target="_blank" rel="noopener sponsored nofollow">Semrush&#8217;s analysis of 260 billion rows of clickstream data</a> showed that people who start using ChatGPT maintain their Google search habits. They&#8217;re not switching; they&#8217;re expanding.</p>



<p>This means enterprise sites need to satisfy <em>both</em> traditional crawlers <em>and</em> AI systems, while maintaining the same crawl budget they had before.</p>



<figure class="wp-block-image size-full"><img decoding="async" width="1600" height="900" src="https://searchengineland.com/wp-content/seloads/2025/10/image-19.png" alt="" class="wp-image-463046" srcset="https://searchengineland.com/wp-content/seloads/2025/10/image-19.png 1600w, https://searchengineland.com/wp-content/seloads/2025/10/image-19-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2025/10/image-19-1536x864.png 1536w" sizes="(max-width: 1600px) 100vw, 1600px" /></figure>



<h2 class="wp-block-heading" id="h-the-dilemma-crawl-volume-vs-revenue-impact">The dilemma: Crawl volume vs. revenue impact</h2>



<p>Many companies get crawlability wrong due focusing on what we can easily measure (total pages crawled) rather than what actually drives revenue (which pages get crawled).</p>



<p>When Cloudflare analyzed AI crawler behavior, they discovered a troubling inefficiency. For example, for every visitor Anthropic&#8217;s Claude refers back to websites, <a href="https://blog.cloudflare.com/crawlers-click-ai-bots-training/" target="_blank" rel="noopener sponsored nofollow">ClaudeBot crawls tens of thousands of pages</a>. This unbalanced crawl-to-referral ratio reveals a fundamental asymmetry of modern search: massive consumption, minimal traffic return.</p>



<p>That’s why it’s imperative for crawl budgets to be effectively directed towards your most valuable pages. In many cases, the problem isn&#8217;t about having too many pages. It&#8217;s about the wrong pages consuming your crawl budget.</p>



<h2 class="wp-block-heading" id="h-the-pave-framework-prioritizing-for-revenue">The PAVE framework: Prioritizing for revenue</h2>



<p>The PAVE framework helps manage crawlability across both search channels. It offers four dimensions that determine whether a page deserves crawl budget:</p>



<ul class="wp-block-list">
<li><strong>P &#8211; Potential</strong>: Does this page have realistic ranking or referral potential? Not all pages should be crawled. If a page isn&#8217;t conversion-optimized, provides thin content, or has minimal ranking potential, you&#8217;re wasting crawl budget that could go to value-generating pages.</li>



<li><strong>A &#8211; Authority</strong>: The markers are familiar for Google, but as shown in <a href="https://ai-visibility-index.semrush.com/" target="_blank" rel="noopener sponsored nofollow">Semrush Enterprise’s AI Visibility Index</a>, if your content lacks sufficient authority signals – like clear E-E-A-T, domain credibility –&nbsp;AI bots will also skip it.</li>



<li><strong>V &#8211; Value</strong>: How much unique, synthesizable information exists per crawl request? Pages requiring JavaScript rendering take <a href="https://www.onely.com/blog/google-needs-9x-more-time-to-crawl-js-than-html/" target="_blank" rel="noopener sponsored nofollow">9x longer to crawl</a> than static HTML. And remember: JavaScript is also skipped by AI crawlers.&nbsp;</li>



<li><strong>E &#8211; Evolution</strong>: How often does this page change in meaningful ways? Crawl demand increases for pages that update frequently with valuable content. Static pages get deprioritized automatically.</li>
</ul>



<h2 class="wp-block-heading" id="h-server-side-rendering-is-a-revenue-multiplier">Server-side rendering is a revenue multiplier</h2>



<p>JavaScript-heavy sites are paying a 9x rendering tax on their crawl budget in Google. And most AI crawlers don&#8217;t execute JavaScript. They grab raw HTML and move on.&nbsp;</p>



<p>If you&#8217;re relying on client-side rendering (CSR), where content assembles in the browser after JavaScript runs, you’re hurting your crawl budget.</p>



<p><strong>Server-side rendering (SSR) flips the equation entirely.</strong></p>



<p>With SSR, your web server pre-builds the full HTML before sending it to browsers or bots. No JavaScript execution needed to access main content. The bot gets needed in the first request. Product names, pricing, and descriptions are all immediately visible and indexable.</p>



<p>But here&#8217;s where SSR becomes a true revenue multiplier: this added speed doesn&#8217;t just help bots, but also dramatically improves conversion rates.</p>



<p><a href="https://www.deloitte.com/ie/en/services/consulting/research/milliseconds-make-millions.html" target="_blank" rel="noopener sponsored nofollow">Deloitte&#8217;s analysis with Google</a> found that a mere 0.1 second improvement in mobile load time drives:</p>



<ul class="wp-block-list">
<li><strong>8.4% increase in retail conversions</strong></li>



<li><strong>10.1% increase in travel conversions</strong></li>



<li><strong>9.2% increase in average order value for retail</strong></li>
</ul>



<p>SSR makes pages load faster for users and bots because the server does the heavy lifting once, then serves the pre-rendered result to everyone. No redundant client-side processing. No JavaScript execution delays. Just fast, crawlable, convertible pages.</p>



<p>For enterprise sites with millions of pages, SSR might be a key factor in whether bots and users actually see –&nbsp;and convert on –&nbsp;your highest-value content.</p>



<h2 class="wp-block-heading" id="h-the-disconnected-data-gap">The disconnected data gap</h2>



<p>Many businesses are flying blind due to disconnected data.&nbsp;</p>



<ul class="wp-block-list">
<li>Crawl logs live in one system.</li>



<li>Your SEO rank tracking lives in another.&nbsp;</li>



<li>Your AI search monitoring in a third.&nbsp;</li>
</ul>



<p>This makes it nearly impossible to definitively answer the question: &#8220;Which crawl issues are costing us revenue right now?&#8221;</p>



<p>This fragmentation creates a compounding cost of making decisions without complete information. Every day you operate with siloed data, you risk optimizing for the wrong priorities.</p>



<p>The businesses that solve crawlability and manage their site health at scale don&#8217;t just collect more data. They unify crawl intelligence with search performance data to create a complete picture.&nbsp;</p>



<p>When teams can segment crawl data by business units, compare pre- and post-deployment performance side-by-side, and correlate crawl health with actual search visibility, you transform crawl budget from a technical mystery into a strategic lever.</p>



<figure class="wp-block-image size-full"><img decoding="async" width="1252" height="846" src="https://searchengineland.com/wp-content/seloads/2025/10/image-18.png" alt="" class="wp-image-463045" srcset="https://searchengineland.com/wp-content/seloads/2025/10/image-18.png 1252w, https://searchengineland.com/wp-content/seloads/2025/10/image-18-768x519.png 768w" sizes="(max-width: 1252px) 100vw, 1252px" /></figure>



<h2 class="wp-block-heading" id="h-3-immediate-actions-to-protect-revenue">3 immediate actions to protect revenue</h2>



<h3 class="wp-block-heading" id="h-1-conduct-a-crawl-audit-using-the-pave-framework">1. Conduct a crawl audit using the PAVE framework</h3>



<p>Use Google Search Console&#8217;s Crawl Stats report alongside log file analysis to identify which URLs consume the most crawl budget. But here&#8217;s where most enterprises hit a wall: Google Search Console wasn&#8217;t built for complex, multi-regional sites with millions of pages.</p>



<p>This is where scalable site health management becomes critical. Global teams need the ability to segment crawl data by regions, product lines, or languages to see exactly which parts of your website are burning budget instead of pushing conversions. Precision segmentation capabilities that <a href="https://www.semrush.com/lp/site-intelligence/en/" target="_blank" rel="noopener sponsored nofollow">Semrush Enterprise&#8217;s Site Intelligence</a> enables.</p>



<p>Once you have an overview, apply the PAVE framework: if a page scores low on all four dimensions, consider blocking it from crawls or consolidating it with other content.&nbsp;</p>



<p>Focused optimization via improving internal linking, fixing page depth issues, and updating sitemaps to include only indexable URLs can also yield huge dividends.</p>



<h3 class="wp-block-heading" id="h-2-implement-continuous-monitoring-not-periodic-audits">2. Implement continuous monitoring, not periodic audits</h3>



<p>Most businesses conduct quarterly or annual audits, taking a snapshot in time and calling it a day.</p>



<p>But crawl budget and wider site health problems don&#8217;t wait for your audit schedule. A deployment on Tuesday can silently leave key pages invisible on Wednesday, and you won&#8217;t discover it until your next review. After weeks of revenue loss.</p>



<p>The solution is implementing monitoring that catches issues before they compound. When you can align audits with deployments, track your site historically, and compare releases or environments side-by-side, you move from reactive fire drills into a proactive revenue protection system.&nbsp;</p>



<h3 class="wp-block-heading" id="h-3-systematically-build-your-ai-authority-nbsp">3. Systematically build your AI authority&nbsp;</h3>



<p>AI search operates in stages. When users research general topics (&#8220;best waterproof hiking boots&#8221;), AI synthesizes from review sites and comparison content. But when users investigate specific brands or products (&#8220;are Salomon X Ultra waterproof, and how much do they cost?&#8221;) AI shifts its research approach entirely.</p>



<p>Your official website becomes the primary source. This is the authority game, and most enterprises are losing it by neglecting their foundational information architecture.</p>



<p>Here&#8217;s a quick checklist:</p>



<ul class="wp-block-list">
<li>Ensure your product descriptions are factual, comprehensive, and ungated (no JavaScript-heavy content)</li>



<li>Clearly state vital information like pricing in static HTML</li>



<li>Use structured data markup for technical specifications&nbsp;</li>



<li>Add feature comparisons to your domain, don’t rely on third-party sites</li>
</ul>



<h2 class="wp-block-heading" id="h-visibility-is-profitability">Visibility is profitability</h2>



<p>Your crawl budget problem is really a revenue recognition problem disguised as a technical issue.&nbsp;</p>



<p>Every day that high-value pages are invisible is a day of lost competitive positioning, missed conversions, and compounding revenue loss.&nbsp;</p>



<p>With search crawler traffic surging, and ChatGPT now reporting <a href="https://www.nber.org/system/files/working_papers/w34255/w34255.pdf" target="_blank" rel="noopener sponsored nofollow">over 700 million daily users</a>, the stakes have never been higher.</p>



<p>The winners won’t be those with the most pages or the most sophisticated content, but those who optimize site health so bots reach their highest-value pages first.<em>For enterprises managing millions of pages across multiple regions, consider how unified crawl intelligence—combining deep crawl data with search performance metrics—can transform your site health management from a technical headache into a revenue protection system. Learn more about </em><a href="https://www.semrush.com/lp/site-intelligence/en/" target="_blank" rel="noopener sponsored nofollow"><em>Site Intelligence by Semrush Enterprise</em></a><em>.</em></p>



<p></p>


While online discussion obsesses over whether ChatGPT spells the end of Google, websites are losing revenue from a far more real and immediate problem: some of their most valuable pages are invisible to the systems that matter.
Because while the bots have changed, the game hasn’t. Your website content needs to be crawlable. 
Between May 2024 and May 2025, AI crawler traffic surged by 96%, with GPTBot’s share jumping from 5% to 30%. But this growth isn’t replacing traditional search traffic. 
Semrush’s analysis of 260 billion rows of clickstream data showed that people who start using ChatGPT maintain their Google search habits. They’re not switching; they’re expanding.
This means enterprise sites need to satisfy both traditional crawlers and AI systems, while maintaining the same crawl budget they had before.




The dilemma: Crawl volume vs. revenue impact
Many companies get crawlability wrong due focusing on what we can easily measure (total pages crawled) rather than what actually drives revenue (which pages get crawled).
When Cloudflare analyzed AI crawler behavior, they discovered a troubling inefficiency. For example, for every visitor Anthropic’s Claude refers back to websites, ClaudeBot crawls tens of thousands of pages. This unbalanced crawl-to-referral ratio reveals a fundamental asymmetry of modern search: massive consumption, minimal traffic return.
That’s why it’s imperative for crawl budgets to be effectively directed towards your most valuable pages. In many cases, the problem isn’t about having too many pages. It’s about the wrong pages consuming your crawl budget.
The PAVE framework: Prioritizing for revenue
The PAVE framework helps manage crawlability across both search channels. It offers four dimensions that determine whether a page deserves crawl budget:
P – Potential: Does this page have realistic ranking or referral potential? Not all pages should be crawled. If a page isn’t conversion-optimized, provides thin content, or has minimal ranking potential, you’re wasting crawl budget that could go to value-generating pages.
A – Authority: The markers are familiar for Google, but as shown in Semrush Enterprise’s AI Visibility Index, if your content lacks sufficient authority signals – like clear E-E-A-T, domain credibility – AI bots will also skip it.
V – Value: How much unique, synthesizable information exists per crawl request? Pages requiring JavaScript rendering take 9x longer to crawl than static HTML. And remember: JavaScript is also skipped by AI crawlers. 
E – Evolution: How often does this page change in meaningful ways? Crawl demand increases for pages that update frequently with valuable content. Static pages get deprioritized automatically.
Server-side rendering is a revenue multiplier
JavaScript-heavy sites are paying a 9x rendering tax on their crawl budget in Google. And most AI crawlers don’t execute JavaScript. They grab raw HTML and move on. 
If you’re relying on client-side rendering (CSR), where content assembles in the browser after JavaScript runs, you’re hurting your crawl budget.
Server-side rendering (SSR) flips the equation entirely.
With SSR, your web server pre-builds the full HTML before sending it to browsers or bots. No JavaScript execution needed to access main content. The bot gets needed in the first request. Product names, pricing, and descriptions are all immediately visible and indexable.
But here’s where SSR becomes a true revenue multiplier: this added speed doesn’t just help bots, but also dramatically improves conversion rates.
Deloitte’s analysis with Google found that a mere 0.1 second improvement in mobile load time drives:
8.4% increase in retail conversions
10.1% increase in travel conversions
9.2% increase in average order value for retail
SSR makes pages load faster for users and bots because the server does the heavy lifting once, then serves the pre-rendered result to everyone. No redundant client-side processing. No JavaScript execution delays. Just fast, crawlable, convertible pages.
For enterprise sites with millions of pages, SSR might be a key factor in whether bots and users actually see – and convert on – your highest-value content.
The disconnected data gap
Many businesses are flying blind due to disconnected data. 
Crawl logs live in one system.
Your SEO rank tracking lives in another. 
Your AI search monitoring in a third. 
This makes it nearly impossible to definitively answer the question: “Which crawl issues are costing us revenue right now?”
This fragmentation creates a compounding cost of making decisions without complete information. Every day you operate with siloed data, you risk optimizing for the wrong priorities.
The businesses that solve crawlability and manage their site health at scale don’t just collect more data. They unify crawl intelligence with search performance data to create a complete picture. 
When teams can segment crawl data by business units, compare pre- and post-deployment performance side-by-side, and correlate crawl health with actual search visibility, you transform crawl budget from a technical mystery into a strategic lever.




3 immediate actions to protect revenue
1. Conduct a crawl audit using the PAVE framework
Use Google Search Console’s Crawl Stats report alongside log file analysis to identify which URLs consume the most crawl budget. But here’s where most enterprises hit a wall: Google Search Console wasn’t built for complex, multi-regional sites with millions of pages.
This is where scalable site health management becomes critical. Global teams need the ability to segment crawl data by regions, product lines, or languages to see exactly which parts of your website are burning budget instead of pushing conversions. Precision segmentation capabilities that Semrush Enterprise’s Site Intelligence enables.
Once you have an overview, apply the PAVE framework: if a page scores low on all four dimensions, consider blocking it from crawls or consolidating it with other content. 
Focused optimization via improving internal linking, fixing page depth issues, and updating sitemaps to include only indexable URLs can also yield huge dividends.
2. Implement continuous monitoring, not periodic audits
Most businesses conduct quarterly or annual audits, taking a snapshot in time and calling it a day.
But crawl budget and wider site health problems don’t wait for your audit schedule. A deployment on Tuesday can silently leave key pages invisible on Wednesday, and you won’t discover it until your next review. After weeks of revenue loss.
The solution is implementing monitoring that catches issues before they compound. When you can align audits with deployments, track your site historically, and compare releases or environments side-by-side, you move from reactive fire drills into a proactive revenue protection system. 
3. Systematically build your AI authority 
AI search operates in stages. When users research general topics (“best waterproof hiking boots”), AI synthesizes from review sites and comparison content. But when users investigate specific brands or products (“are Salomon X Ultra waterproof, and how much do they cost?”) AI shifts its research approach entirely.
Your official website becomes the primary source. This is the authority game, and most enterprises are losing it by neglecting their foundational information architecture.
Here’s a quick checklist:
Ensure your product descriptions are factual, comprehensive, and ungated (no JavaScript-heavy content)
Clearly state vital information like pricing in static HTML
Use structured data markup for technical specifications 
Add feature comparisons to your domain, don’t rely on third-party sites
Visibility is profitability
Your crawl budget problem is really a revenue recognition problem disguised as a technical issue. 
Every day that high-value pages are invisible is a day of lost competitive positioning, missed conversions, and compounding revenue loss. 
With search crawler traffic surging, and ChatGPT now reporting over 700 million daily users, the stakes have never been higher.
The winners won’t be those with the most pages or the most sophisticated content, but those who optimize site health so bots reach their highest-value pages first.For enterprises managing millions of pages across multiple regions, consider how unified crawl intelligence—combining deep crawl data with search performance metrics—can transform your site health management from a technical headache into a revenue protection system. Learn more about Site Intelligence by Semrush Enterprise.

Are you wasting crawl budget on the wrong pages? Learn how to protect revenue with smarter crawl strategies.

Your crawl budget is costing you revenue in the AI search era by Semrush Enterprise

<div><img width="800" height="450" src="https://searchengineland.com/wp-content/seloads/2024/09/The-DESCRIBE-framework-for-effective-YouTube-descriptions-800x450.png" class="attachment-large size-large wp-post-image" alt="The DESCRIBE framework for effective YouTube descriptions" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2024/09/The-DESCRIBE-framework-for-effective-YouTube-descriptions-800x450.png 800w, https://searchengineland.com/wp-content/seloads/2024/09/The-DESCRIBE-framework-for-effective-YouTube-descriptions-600x338.png 600w, https://searchengineland.com/wp-content/seloads/2024/09/The-DESCRIBE-framework-for-effective-YouTube-descriptions-200x113.png 200w, https://searchengineland.com/wp-content/seloads/2024/09/The-DESCRIBE-framework-for-effective-YouTube-descriptions-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2024/09/The-DESCRIBE-framework-for-effective-YouTube-descriptions-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2024/09/The-DESCRIBE-framework-for-effective-YouTube-descriptions.png 1920w" sizes="(max-width: 800px) 100vw, 800px" /></div>YouTube’s new AI-powered report helps advertisers measure their total brand impact across paid and organic videos for the first time.

<div><img width="800" height="450" src="https://searchengineland.com/wp-content/seloads/2024/09/The-DESCRIBE-framework-for-effective-YouTube-descriptions-800x450.png" class="attachment-large size-large wp-post-image" alt="The DESCRIBE framework for effective YouTube descriptions" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2024/09/The-DESCRIBE-framework-for-effective-YouTube-descriptions-800x450.png 800w, https://searchengineland.com/wp-content/seloads/2024/09/The-DESCRIBE-framework-for-effective-YouTube-descriptions-600x338.png 600w, https://searchengineland.com/wp-content/seloads/2024/09/The-DESCRIBE-framework-for-effective-YouTube-descriptions-200x113.png 200w, https://searchengineland.com/wp-content/seloads/2024/09/The-DESCRIBE-framework-for-effective-YouTube-descriptions-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2024/09/The-DESCRIBE-framework-for-effective-YouTube-descriptions-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2024/09/The-DESCRIBE-framework-for-effective-YouTube-descriptions.png 1920w" sizes="(max-width: 800px) 100vw, 800px" /></div>
<p>YouTube today introduced a new Brand Pulse report that gives advertisers a real-time snapshot of their brand’s total presence across YouTube — from paid ads, to creator collaborations, to user-generated videos.</p>



<p><strong>A holistic view of brand presence</strong>. The new report taps multimodal AI to spot every brand mention on YouTube – from logos and product shots to shoutouts in audio or titles. Even a quick name-drop by a creator gets tracked to show your brand’s real reach.</p>



<p><strong>Metrics that connect paid and organic performance</strong>. Advertisers can now see how they stack up with metrics like Total Unique Viewers and Share of Watch Time — plus how paid ads boost organic buzz when viewers see both.</p>



<p><strong>Creator influence and authentic engagement</strong>. Brand Pulse spotlights how creators and everyday users drive trust and reach – revealing who your real brand advocates are and how their content amplifies your paid efforts.</p>



<p><strong>From insight to action</strong>. You can use the insights to boost top-performing organic videos with ads, sync creative across paid and organic, and fine-tune campaigns for better ROI.</p>



<p><strong>Why we care.</strong> Measuring the total influence of brand activity on YouTube has long been fragmented – with organic engagement and paid ads often analyzed separately. The report helps advertisers see how creator content and brand ads work together – quantifying the influence of creators and community engagement on campaign ROI.</p>



<p><strong>What’s next.</strong> The Brand Pulse Report is available to select advertisers now, with broader access expected in the coming months.</p>



<p><strong>YouTube&#8217;s announcement.</strong> <a href="https://blog.google/products/ads-commerce/youtube-new-brand-pulse-report/" target="_blank" rel="noopener">YouTube&#8217;s new report helps brands understand the full value of paid and organic video</a></p>


YouTube today introduced a new Brand Pulse report that gives advertisers a real-time snapshot of their brand’s total presence across YouTube — from paid ads, to creator collaborations, to user-generated videos.
A holistic view of brand presence. The new report taps multimodal AI to spot every brand mention on YouTube – from logos and product shots to shoutouts in audio or titles. Even a quick name-drop by a creator gets tracked to show your brand’s real reach.
Metrics that connect paid and organic performance. Advertisers can now see how they stack up with metrics like Total Unique Viewers and Share of Watch Time — plus how paid ads boost organic buzz when viewers see both.
Creator influence and authentic engagement. Brand Pulse spotlights how creators and everyday users drive trust and reach – revealing who your real brand advocates are and how their content amplifies your paid efforts.
From insight to action. You can use the insights to boost top-performing organic videos with ads, sync creative across paid and organic, and fine-tune campaigns for better ROI.
Why we care. Measuring the total influence of brand activity on YouTube has long been fragmented – with organic engagement and paid ads often analyzed separately. The report helps advertisers see how creator content and brand ads work together – quantifying the influence of creators and community engagement on campaign ROI.
What’s next. The Brand Pulse Report is available to select advertisers now, with broader access expected in the coming months.
YouTube’s announcement. YouTube’s new report helps brands understand the full value of paid and organic video

YouTube’s new AI-powered report helps advertisers measure their total brand impact across paid and organic videos for the first time.

New YouTube Brand Pulse report tracks every brand mention

<div><img width="1920" height="1097" src="https://searchengineland.com/wp-content/seloads/2025/09/google-analytics-1920.jpg" class="attachment-large size-large wp-post-image" alt="" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/09/google-analytics-1920.jpg 1920w, https://searchengineland.com/wp-content/seloads/2025/09/google-analytics-1920-768x439.jpg 768w, https://searchengineland.com/wp-content/seloads/2025/09/google-analytics-1920-1536x878.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Advertisers can now automatically import Meta and TikTok ad cost data into Google Analytics for unified, real-time cross-channel reporting.

<div><img width="1920" height="1097" src="https://searchengineland.com/wp-content/seloads/2025/09/google-analytics-1920.jpg" class="attachment-large size-large wp-post-image" alt="" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/09/google-analytics-1920.jpg 1920w, https://searchengineland.com/wp-content/seloads/2025/09/google-analytics-1920-768x439.jpg 768w, https://searchengineland.com/wp-content/seloads/2025/09/google-analytics-1920-1536x878.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p>Google Analytics now lets advertisers automatically import cost data from Meta and TikTok through new native integrations, streamlining cross-channel performance tracking.</p>



<p><strong>Why we care.</strong> This update gives marketers a unified view of ad spend and ROI across major platforms — without relying on manual uploads or third-party connectors — helping them better compare efficiency between Google, Meta, and TikTok campaigns.</p>



<p><strong>The details:</strong></p>



<ul class="wp-block-list">
<li>The integrations automatically pull up to 24 months of historical ad cost data from Meta and TikTok.</li>



<li>Users must delete any overlapping manual imports to avoid duplicate or inflated data, as Analytics won’t de-duplicate records between methods.</li>



<li>Once set up, the feature provides ongoing automatic updates for real-time campaign cost visibility.</li>
</ul>



<p><strong>The bottom line</strong>. <a href="https://support.google.com/analytics/answer/9164320?hl=en#10072025">With Meta and TikTok cost imports</a>, Google Analytics is becoming a more complete hub for paid media analysis — reducing data silos and improving cross-platform visibility for advertisers.</p>



<p></p>


Google Analytics now lets advertisers automatically import cost data from Meta and TikTok through new native integrations, streamlining cross-channel performance tracking.
Why we care. This update gives marketers a unified view of ad spend and ROI across major platforms — without relying on manual uploads or third-party connectors — helping them better compare efficiency between Google, Meta, and TikTok campaigns.
The details:
The integrations automatically pull up to 24 months of historical ad cost data from Meta and TikTok.
Users must delete any overlapping manual imports to avoid duplicate or inflated data, as Analytics won’t de-duplicate records between methods.
Once set up, the feature provides ongoing automatic updates for real-time campaign cost visibility.
The bottom line. With Meta and TikTok cost imports, Google Analytics is becoming a more complete hub for paid media analysis — reducing data silos and improving cross-platform visibility for advertisers.

Advertisers can now automatically import Meta and TikTok ad cost data into Google Analytics for unified, real-time cross-channel reporting.

All About
Digital Marketing

Read the Latest Trends and Headlines in Digital Marketing.

Here are some of the latest headlines on digital marketing insights, search, and ecommerce:

Free Consultation

Reach out with any questions you might have regarding how RSO can help you with digital marketing.

All About Digital Marketing

Read the Latest Trends and Headlines in Digital Marketing.

Here are some of the latest headlines on digital marketing insights, search, and ecommerce:

Free Consultation

Reach out with any questions you might have regarding how RSO can help you with digital marketing.

All About
Digital Marketing