Google is automatically giving eligible advertisers new audience-building capabilities powered by conversion data.

Google Ads is automatically enabling conversion-based customer lists for eligible advertisers starting, with data processing scheduled to begin on Aug. 18.



The update applies to advertisers already using both Enhanced Conversions and Customer Match but who have not yet activated conversion-based customer lists.



<figure class="wp-block-image size-full"><img fetchpriority="high" decoding="async" width="912" height="1024" src="https://searchengineland.com/wp-content/seloads/2026/06/Customer-based-list.jpeg" alt="" class="wp-image-480695" srcset="https://searchengineland.com/wp-content/seloads/2026/06/Customer-based-list.jpeg 912w, https://searchengineland.com/wp-content/seloads/2026/06/Customer-based-list-768x862.jpeg 768w" sizes="(max-width: 912px) 100vw, 912px" /></figure>



Why we care. As privacy changes continue to reshape digital advertising, Google is increasingly encouraging advertisers to rely on first-party data. Conversion-based customer lists provide another way to build audiences using customer data already collected through conversions.



The feature could help advertisers create more relevant audience segments and improve campaign performance without requiring additional implementation work.



The details. Eligible advertisers do not need to take any action. Beginning Aug. 18, Google will start processing data and automatically make conversion-based customer lists available within affected accounts.



Advertisers can then choose whether to attach those audiences to campaigns and ad groups as part of their targeting strategy.



The catch. Advertisers who do not want the feature enabled can opt out before Aug. 18 by disabling conversion-based customer lists within their account settings.



After that date, Google will begin processing data and generating the lists automatically.



First spotted. This update was spotted by JXT Group Founder Menachem Ani, who shared the comms he recevied about it on <a href="https://x.com/MenachemAni/status/2067316618716147876">X</a>.

Google Ads is automatically enabling conversion-based customer lists for eligible advertisers starting, with data processing scheduled to begin on Aug. 18.
The update applies to advertisers already using both Enhanced Conversions and Customer Match but who have not yet activated conversion-based customer lists.




Why we care. As privacy changes continue to reshape digital advertising, Google is increasingly encouraging advertisers to rely on first-party data. Conversion-based customer lists provide another way to build audiences using customer data already collected through conversions.
The feature could help advertisers create more relevant audience segments and improve campaign performance without requiring additional implementation work.
The details. Eligible advertisers do not need to take any action. Beginning Aug. 18, Google will start processing data and automatically make conversion-based customer lists available within affected accounts.
Advertisers can then choose whether to attach those audiences to campaigns and ad groups as part of their targeting strategy.
The catch. Advertisers who do not want the feature enabled can opt out before Aug. 18 by disabling conversion-based customer lists within their account settings.
After that date, Google will begin processing data and generating the lists automatically.
First spotted. This update was spotted by JXT Group Founder Menachem Ani, who shared the comms he recevied about it on X.

Google Ads automatically enrols advertisers in conversion-based customer lists

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/04/6-mistakes-that-hurt-ecommerce-campaigns-on-Google-Ads.png" class="attachment-large size-large wp-post-image" alt="6 mistakes that hurt ecommerce campaigns on Google Ads" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/04/6-mistakes-that-hurt-ecommerce-campaigns-on-Google-Ads.png 1920w, https://searchengineland.com/wp-content/seloads/2026/04/6-mistakes-that-hurt-ecommerce-campaigns-on-Google-Ads-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/04/6-mistakes-that-hurt-ecommerce-campaigns-on-Google-Ads-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/04/6-mistakes-that-hurt-ecommerce-campaigns-on-Google-Ads-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Google's update will make it easier for advertisers to distinguish between target-based and volume-based bidding strategies.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/04/6-mistakes-that-hurt-ecommerce-campaigns-on-Google-Ads.png" class="attachment-large size-large wp-post-image" alt="6 mistakes that hurt ecommerce campaigns on Google Ads" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/04/6-mistakes-that-hurt-ecommerce-campaigns-on-Google-Ads.png 1920w, https://searchengineland.com/wp-content/seloads/2026/04/6-mistakes-that-hurt-ecommerce-campaigns-on-Google-Ads-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/04/6-mistakes-that-hurt-ecommerce-campaigns-on-Google-Ads-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/04/6-mistakes-that-hurt-ecommerce-campaigns-on-Google-Ads-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
Google Ads is changing how Smart Bidding strategies are labeled, separating target-based bidding strategies from volume-based bidding strategies.



Starting this month, &#8220;Maximize conversions with a Target CPA&#8221; will once again be called Target CPA, while &#8220;Maximize conversion value with a Target ROAS&#8221; will return to Target ROAS.



Why we care. The change is designed to make it clearer whether a campaign is optimising for maximum volume or attempting to hit a specific performance target.



The details.



<ul class="wp-block-list">
<li>Maximize Conversions remains available for advertisers focused on driving as many conversions as possible within budget.</li>



<li>Maximize Conversion Value remains available for advertisers focused on generating the highest conversion value possible within budget.</li>
</ul>



What isn&#8217;t changing. The update is purely organisational.



Google says there are:



<ul class="wp-block-list">
<li>No changes to bidding behaviour</li>



<li>No changes to campaign performance</li>



<li>No changes required from advertisers</li>
</ul>



Campaigns will continue to bid exactly as they do today.



For API users. Google is also aligning the interface more closely with how bidding strategies are represented in the Google Ads API.



Developers should review integrations, reporting tools, and campaign creation workflows to ensure they correctly recognise standalone TARGET_CPA and TARGET_ROAS strategy types.



Google is encouraging API users to monitor future updates related to:



<ul class="wp-block-list">
<li>The BiddingStrategyType enum</li>



<li>Standalone TargetCpa and TargetRoas messages</li>



<li>Optional target settings within MaximizeConversions and MaximizeConversionValue</li>



<li></li>
</ul>



Bottom line. Nothing changes in how Smart Bidding works, but advertisers may find campaign setup and reporting easier to understand as <a href="https://ads-developers.googleblog.com/2026/06/updates-to-smart-bidding-strategy.html">Google restores Target CPA and Target ROAS as clearly defined standalone strategy names</a>.

Google Ads is changing how Smart Bidding strategies are labeled, separating target-based bidding strategies from volume-based bidding strategies.
Starting this month, “Maximize conversions with a Target CPA” will once again be called Target CPA, while “Maximize conversion value with a Target ROAS” will return to Target ROAS.
Why we care. The change is designed to make it clearer whether a campaign is optimising for maximum volume or attempting to hit a specific performance target.
The details.




Maximize Conversions remains available for advertisers focused on driving as many conversions as possible within budget.
Maximize Conversion Value remains available for advertisers focused on generating the highest conversion value possible within budget.
What isn’t changing. The update is purely organisational.
Google says there are:
No changes to bidding behaviour
No changes to campaign performance
No changes required from advertisers
Campaigns will continue to bid exactly as they do today.
For API users. Google is also aligning the interface more closely with how bidding strategies are represented in the Google Ads API.
Developers should review integrations, reporting tools, and campaign creation workflows to ensure they correctly recognise standalone TARGET_CPA and TARGET_ROAS strategy types.
Google is encouraging API users to monitor future updates related to:
The BiddingStrategyType enum
Standalone TargetCpa and TargetRoas messages
Optional target settings within MaximizeConversions and MaximizeConversionValue





Bottom line. Nothing changes in how Smart Bidding works, but advertisers may find campaign setup and reporting easier to understand as Google restores Target CPA and Target ROAS as clearly defined standalone strategy names.

Google's update will make it easier for advertisers to distinguish between target-based and volume-based bidding strategies.

Google Ads brings back Target CPA and Target ROAS naming

<div><img width="1600" height="900" src="https://searchengineland.com/wp-content/seloads/2026/06/PLTP-Image-2.jpg" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/06/PLTP-Image-2.jpg 1600w, https://searchengineland.com/wp-content/seloads/2026/06/PLTP-Image-2-768x432.jpg 768w, https://searchengineland.com/wp-content/seloads/2026/06/PLTP-Image-2-1536x864.jpg 1536w, https://searchengineland.com/wp-content/seloads/2026/06/PLTP-Image-2-1200x675.jpg 1200w" sizes="(max-width: 1600px) 100vw, 1600px" /></div>Laura Abreu shares how one wrong client taught her lasting lessons about trusting her instincts and setting expectations.

<div><img width="1600" height="900" src="https://searchengineland.com/wp-content/seloads/2026/06/PLTP-Image-2.jpg" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/06/PLTP-Image-2.jpg 1600w, https://searchengineland.com/wp-content/seloads/2026/06/PLTP-Image-2-768x432.jpg 768w, https://searchengineland.com/wp-content/seloads/2026/06/PLTP-Image-2-1536x864.jpg 1536w, https://searchengineland.com/wp-content/seloads/2026/06/PLTP-Image-2-1200x675.jpg 1200w" sizes="(max-width: 1600px) 100vw, 1600px" /></div>
<figure class="wp-block-embed 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">
<a href="https://www.youtube.com/embed/jPO8wOU39SE?feature=oembed" rel="noopener noreferrer">Watch this video on YouTube</a>
</div></figure>







One of the hardest lessons in PPC has nothing to do with bidding strategies, keywords, or campaign structure. It&#8217;s knowing when to walk away from a client.



On a recent episode of PPC Live The Podcast, performance marketing strategist Laura Abreu shared how taking on the wrong client early in her career became one of her most valuable professional lessons.



<h2 class="wp-block-heading" id="h-when-your-gut-is-telling-you-something">When your gut is telling you something</h2>



Laura&#8217;s first client was launching an ecommerce store selling beauty products from well-known brands. On the surface, it seemed like a great opportunity, but something felt off.



The products were available elsewhere at the same price, giving customers little reason to buy from an unknown retailer. Despite her concerns, Laura ignored her instincts and accepted the project anyway.



<h2 class="wp-block-heading" id="h-great-marketing-can-t-fix-a-weak-business-model">Great marketing can&#8217;t fix a weak business model</h2>



The team tried everything. Search campaigns, Meta ads, seasonal offers, product bundles, PR activity, and customer testimonials.



After three months of testing and optimisation, they hadn&#8217;t generated a single sale. The issue wasn&#8217;t the marketing. The business simply hadn&#8217;t established a compelling reason for customers to choose them over established competitors.



<h2 class="wp-block-heading" id="h-the-importance-of-market-validation">The importance of market validation</h2>



Many business owners believe hiring a marketer will automatically create growth. In reality, marketing amplifies demand—it doesn&#8217;t create it.



Today, Laura asks prospective clients whether they&#8217;ve tested the market, generated sales, and gathered customer feedback before investing in advertising. If the foundations aren&#8217;t there, paid media won&#8217;t solve the problem.



<h2 class="wp-block-heading" id="h-pretty-creative-doesn-t-equal-performance">Pretty creative doesn&#8217;t equal performance</h2>



One of the biggest mistakes marketers make is judging creative based on personal preference rather than data.



The team invested heavily in creating beautiful visuals, but attractive creative alone wasn&#8217;t enough to drive sales. Customers don&#8217;t buy because an ad looks good; they buy because the offer resonates with their needs.



<h2 class="wp-block-heading" id="h-the-emotional-cost-of-a-bad-client">The emotional cost of a bad client</h2>



The failed project affected Laura far beyond the campaign results. As many marketers do, she tied her self-worth to the outcome.



The experience damaged her confidence so much that she stopped taking PPC clients for a period of time. Looking back, she realised she was carrying responsibility for a business problem that advertising could never have fixed.



<h2 class="wp-block-heading" id="h-why-expectations-matter">Why expectations matter</h2>



One lesson Laura now applies with every client is setting expectations early and clearly.



Rather than promising immediate growth, she positions advertising as a way to test assumptions, validate demand, and uncover opportunities. This creates more honest conversations and avoids unrealistic expectations from the outset.



<h2 class="wp-block-heading" id="h-why-laura-doesn-t-work-with-friends-or-family">Why Laura doesn&#8217;t work with friends or family</h2>



Perhaps the strongest lesson from the experience is a rule she follows to this day: she doesn&#8217;t work with friends or family.



Maintaining professional distance allows her to stay objective, make decisions based on data, and avoid the emotional complications that can arise when personal relationships and business become intertwined.



<h2 class="wp-block-heading" id="h-reputation-is-more-valuable-than-revenue">Reputation is more valuable than revenue</h2>



When campaigns don&#8217;t go as planned, Laura believes honesty is non-negotiable.



Whether that means admitting mistakes, offering additional support, or refunding fees where appropriate, protecting your reputation is more important than protecting your ego. In an industry built on referrals, trust is everything.



<h2 class="wp-block-heading" id="h-common-mistakes-laura-sees-in-ppc-accounts">Common mistakes Laura sees in PPC accounts</h2>



Having audited accounts across multiple markets, Laura says one of the biggest mistakes marketers make is treating campaigns as &#8220;set and forget&#8221; assets. She often finds underperforming creatives left running for months, ad copy that hasn&#8217;t been refreshed, and winning ads that aren&#8217;t being scaled effectively.



She also sees businesses creating unnecessary friction in lead generation campaigns. Long-form copy, overly complex forms, and sending users to external landing pages instead of testing native lead forms can all reduce conversion rates. In her experience, simpler journeys often deliver better results.



<h2 class="wp-block-heading">How Laura thinks marketers should use AI</h2>



Laura sees AI as a powerful tool for automating repetitive tasks rather than replacing marketers. She recommends using it to monitor performance, automate alerts, and streamline workflows so practitioners can spend more time on strategy and client communication.



At the same time, she warns against relying blindly on AI-generated outputs. Poor-quality ad descriptions and generic messaging can hurt performance, so human oversight remains essential. The marketers who succeed will be those who combine AI efficiency with strong strategic thinking.

Watch this video on YouTube








One of the hardest lessons in PPC has nothing to do with bidding strategies, keywords, or campaign structure. It’s knowing when to walk away from a client.
On a recent episode of PPC Live The Podcast, performance marketing strategist Laura Abreu shared how taking on the wrong client early in her career became one of her most valuable professional lessons.
When your gut is telling you something
Laura’s first client was launching an ecommerce store selling beauty products from well-known brands. On the surface, it seemed like a great opportunity, but something felt off.
The products were available elsewhere at the same price, giving customers little reason to buy from an unknown retailer. Despite her concerns, Laura ignored her instincts and accepted the project anyway.
Great marketing can’t fix a weak business model
The team tried everything. Search campaigns, Meta ads, seasonal offers, product bundles, PR activity, and customer testimonials.
After three months of testing and optimisation, they hadn’t generated a single sale. The issue wasn’t the marketing. The business simply hadn’t established a compelling reason for customers to choose them over established competitors.
The importance of market validation
Many business owners believe hiring a marketer will automatically create growth. In reality, marketing amplifies demand—it doesn’t create it.
Today, Laura asks prospective clients whether they’ve tested the market, generated sales, and gathered customer feedback before investing in advertising. If the foundations aren’t there, paid media won’t solve the problem.
Pretty creative doesn’t equal performance
One of the biggest mistakes marketers make is judging creative based on personal preference rather than data.
The team invested heavily in creating beautiful visuals, but attractive creative alone wasn’t enough to drive sales. Customers don’t buy because an ad looks good; they buy because the offer resonates with their needs.
The emotional cost of a bad client
The failed project affected Laura far beyond the campaign results. As many marketers do, she tied her self-worth to the outcome.
The experience damaged her confidence so much that she stopped taking PPC clients for a period of time. Looking back, she realised she was carrying responsibility for a business problem that advertising could never have fixed.
Why expectations matter
One lesson Laura now applies with every client is setting expectations early and clearly.
Rather than promising immediate growth, she positions advertising as a way to test assumptions, validate demand, and uncover opportunities. This creates more honest conversations and avoids unrealistic expectations from the outset.
Why Laura doesn’t work with friends or family
Perhaps the strongest lesson from the experience is a rule she follows to this day: she doesn’t work with friends or family.
Maintaining professional distance allows her to stay objective, make decisions based on data, and avoid the emotional complications that can arise when personal relationships and business become intertwined.
Reputation is more valuable than revenue
When campaigns don’t go as planned, Laura believes honesty is non-negotiable.
Whether that means admitting mistakes, offering additional support, or refunding fees where appropriate, protecting your reputation is more important than protecting your ego. In an industry built on referrals, trust is everything.
Common mistakes Laura sees in PPC accounts
Having audited accounts across multiple markets, Laura says one of the biggest mistakes marketers make is treating campaigns as “set and forget” assets. She often finds underperforming creatives left running for months, ad copy that hasn’t been refreshed, and winning ads that aren’t being scaled effectively.
She also sees businesses creating unnecessary friction in lead generation campaigns. Long-form copy, overly complex forms, and sending users to external landing pages instead of testing native lead forms can all reduce conversion rates. In her experience, simpler journeys often deliver better results.
How Laura thinks marketers should use AI
Laura sees AI as a powerful tool for automating repetitive tasks rather than replacing marketers. She recommends using it to monitor performance, automate alerts, and streamline workflows so practitioners can spend more time on strategy and client communication.
At the same time, she warns against relying blindly on AI-generated outputs. Poor-quality ad descriptions and generic messaging can hurt performance, so human oversight remains essential. The marketers who succeed will be those who combine AI efficiency with strong strategic thinking.

Laura Abreu shares how one wrong client taught her lasting lessons about trusting her instincts and setting expectations.

Laura Abreu talks about a client experience that made her quit Google Ads

<div><img width="1672" height="941" src="https://searchengineland.com/wp-content/seloads/2026/06/ChatGPT-Ads-UK.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/06/ChatGPT-Ads-UK.png 1672w, https://searchengineland.com/wp-content/seloads/2026/06/ChatGPT-Ads-UK-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/06/ChatGPT-Ads-UK-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/06/ChatGPT-Ads-UK-1200x675.png 1200w" sizes="(max-width: 1672px) 100vw, 1672px" /></div>OpenAI's UK launch of ChatGPT Ads Manager gives advertisers an early chance to learn and prepare for a potentially major new ad channel

<div><img width="1672" height="941" src="https://searchengineland.com/wp-content/seloads/2026/06/ChatGPT-Ads-UK.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/06/ChatGPT-Ads-UK.png 1672w, https://searchengineland.com/wp-content/seloads/2026/06/ChatGPT-Ads-UK-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/06/ChatGPT-Ads-UK-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/06/ChatGPT-Ads-UK-1200x675.png 1200w" sizes="(max-width: 1672px) 100vw, 1672px" /></div>
OpenAI is quietly expanding its advertising infrastructure, giving UK businesses early access to a self-serve Ads Manager for ChatGPT — a signal that the company is building out the tools needed to scale advertising on its rapidly growing AI platform.



What&#8217;s happening. OpenAI has begun rolling out Ads Manager Beta to businesses in the UK, according to an email sent to advertisers announcing availability of the platform.



The self-serve interface allows businesses to create advertising accounts and begin exploring campaign management tools with minimal setup friction.



How it works. The Ads Manager dashboard is organized into four core areas: campaigns, tools, billing and settings.



The interface is designed to be familiar to digital marketers, with user management and campaign controls accessible through a simplified navigation structure.



<figure class="wp-block-image size-full"><img decoding="async" width="1514" height="974" src="https://searchengineland.com/wp-content/seloads/2026/06/Chatgpt-edited.jpeg" alt="" class="wp-image-480681" srcset="https://searchengineland.com/wp-content/seloads/2026/06/Chatgpt-edited.jpeg 1514w, https://searchengineland.com/wp-content/seloads/2026/06/Chatgpt-edited-768x494.jpeg 768w" sizes="(max-width: 1514px) 100vw, 1514px" /></figure>



For agencies. OpenAI is advising agencies and freelancers not to create accounts on behalf of clients.



Instead, clients should:



<ol class="wp-block-list">
<li>Create their own Ads Manager account.</li>



<li>Navigate to Settings → Users → Invites.</li>



<li>Invite agency partners with appropriate permission levels.</li>
</ol>



Once invited, users receive an email prompting them to accept access and can then switch between client accounts within the platform.



The catch. Unlike Google Ads&#8217; Manager Account (MCC) structure, advertisers cannot currently view or manage multiple accounts simultaneously from a centralized interface. Users can switch between accounts, but each account must be accessed individually.



<p id="h-by-removing-requirements-such-as-upfront-billing-information-and-simplifying-account-creation-openai-is-lowering-barriers-for-marketers-who-want-to-test-and-familiarize-themselves-with-chatgpt-s-emerging-advertising-ecosystem">Why we care. Access to Ads Manager gives UK brands and agencies the opportunity to understand the interface, workflows, and account structure before broader adoption begins.



<p id="h-by-removing-requirements-such-as-upfront-billing-information-and-simplifying-account-creation-openai-is-lowering-barriers-for-marketers-who-want-to-test-and-familiarize-themselves-with-chatgpt-s-emerging-advertising-ecosystem">By removing requirements such as upfront billing information and simplifying account creation, OpenAI is lowering barriers for marketers who want to test and familiarize themselves with ChatGPT&#8217;s emerging advertising ecosystem.



What to watch. The UK rollout offers one of the clearest indications yet that OpenAI is moving beyond experimentation and toward a scalable advertising platform.



The next questions for advertisers will be less about account setup and more about inventory, targeting capabilities, measurement tools, and how ads ultimately appear inside ChatGPT conversations.



For now, marketers are getting their first hands-on look at the infrastructure that could underpin OpenAI&#8217;s future advertising business.



First spotted. The update was spotted by Head of Paid Media at Evoluted, when he shared the comms he received on <a href="https://www.linkedin.com/posts/chris-ridley_openai-ads-manager-is-now-available-for-businesses-ugcPost-7473743566276636675-uwBH/?utm_source=social_share_send&amp;utm_medium=member_desktop_web&amp;rcm=ACoAABKhbvMBE4bDWI5b3MB7bsvkU2R8qgFQAnY">LinkedIn</a>.

OpenAI is quietly expanding its advertising infrastructure, giving UK businesses early access to a self-serve Ads Manager for ChatGPT — a signal that the company is building out the tools needed to scale advertising on its rapidly growing AI platform.
What’s happening. OpenAI has begun rolling out Ads Manager Beta to businesses in the UK, according to an email sent to advertisers announcing availability of the platform.
The self-serve interface allows businesses to create advertising accounts and begin exploring campaign management tools with minimal setup friction.
How it works. The Ads Manager dashboard is organized into four core areas: campaigns, tools, billing and settings.
The interface is designed to be familiar to digital marketers, with user management and campaign controls accessible through a simplified navigation structure.




For agencies. OpenAI is advising agencies and freelancers not to create accounts on behalf of clients.
Instead, clients should:
Create their own Ads Manager account.
Navigate to Settings → Users → Invites.
Invite agency partners with appropriate permission levels.
Once invited, users receive an email prompting them to accept access and can then switch between client accounts within the platform.
The catch. Unlike Google Ads’ Manager Account (MCC) structure, advertisers cannot currently view or manage multiple accounts simultaneously from a centralized interface. Users can switch between accounts, but each account must be accessed individually.
Why we care. Access to Ads Manager gives UK brands and agencies the opportunity to understand the interface, workflows, and account structure before broader adoption begins.
By removing requirements such as upfront billing information and simplifying account creation, OpenAI is lowering barriers for marketers who want to test and familiarize themselves with ChatGPT’s emerging advertising ecosystem.
What to watch. The UK rollout offers one of the clearest indications yet that OpenAI is moving beyond experimentation and toward a scalable advertising platform.
The next questions for advertisers will be less about account setup and more about inventory, targeting capabilities, measurement tools, and how ads ultimately appear inside ChatGPT conversations.
For now, marketers are getting their first hands-on look at the infrastructure that could underpin OpenAI’s future advertising business.
First spotted. The update was spotted by Head of Paid Media at Evoluted, when he shared the comms he received on LinkedIn.

OpenAI's UK launch of ChatGPT Ads Manager gives advertisers an early chance to learn and prepare for a potentially major new ad channel

OpenAI opens ChatGPT Ads Manager beta to UK advertisers

<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" 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? 
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(Provided to Search Engine Land by SEOjobs.com) 



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Description Are you an SEO professional who enjoys solving technical challenges, uncovering insights in data, and helping organizations improve their visibility in search? Interactive Strategies, a leading digital agency in Washington, DC, is seeking an SEO & Web Analytics Manager to join our Data Insights team. This is a hands-on role focused on technical SEO, analytics reporting, […]

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Description The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency, and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the […]

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At NAVEX, we’re transforming the world—making it safer, more ethical, and ensuring every voice is heard. That’s real impact.Our high-performance culture is driven by our values.  We move with speed, passion and purpose — as one team. We are bold in our ideas, accountable in our actions, and committed to doing the right things right. NAVEX is seeking a Senior Global Paid Media Manager to […]

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Senior Associate, Paid Media
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Vendelux is transforming how companies discover, evaluate, and maximize the impact of events. Event marketers are the driving force behind pipeline and brand — yet events remain one of the least optimized and most opaque marketing channels. Vendelux changes that. We provide the system of record for event marketing, giving teams the data and insights […]

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<div><img width="1672" height="941" src="https://searchengineland.com/wp-content/seloads/2026/06/Google-Ask-for-Ad-Manager.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/06/Google-Ask-for-Ad-Manager.png 1672w, https://searchengineland.com/wp-content/seloads/2026/06/Google-Ask-for-Ad-Manager-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/06/Google-Ask-for-Ad-Manager-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/06/Google-Ask-for-Ad-Manager-1200x675.png 1200w" sizes="(max-width: 1672px) 100vw, 1672px" /></div>Google is embedding AI into publisher workflows, making it easier to analyze performance and act on insights from a chat interface.

<div><img width="1672" height="941" src="https://searchengineland.com/wp-content/seloads/2026/06/Google-Ask-for-Ad-Manager.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/06/Google-Ask-for-Ad-Manager.png 1672w, https://searchengineland.com/wp-content/seloads/2026/06/Google-Ask-for-Ad-Manager-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/06/Google-Ask-for-Ad-Manager-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/06/Google-Ask-for-Ad-Manager-1200x675.png 1200w" sizes="(max-width: 1672px) 100vw, 1672px" /></div>
Google is bringing generative AI directly into Google Ad Manager with the launch of Ask Ad Manager, a new Gemini-powered assistant designed to help publishers analyze performance, troubleshoot issues and navigate the platform using natural language.



The beta launches this month as Google pushes deeper into AI-powered ad operations.



What&#8217;s happening. Ask Ad Manager is a conversational AI agent built specifically for publishers using Google Ad Manager.



Unlike traditional reporting tools, publishers can ask questions in plain language and receive personalized answers, recommendations and reports based on their own Ad Manager data.



Google says the tool is designed to help users move from analysis to action faster by reducing the time spent generating reports, diagnosing problems and navigating the platform.



What it can do:



Troubleshoot delivery issues.



Instead of manually pulling reports to investigate underperforming line items, publishers can ask the AI agent questions and receive guidance on potential causes and next steps.



<figure class="wp-block-video"><video height="1080" width="1920" controls src="https://searchengineland.com/wp-content/seloads/2026/06/Google-Ask-Ad-manager-troubleshooting.mp4"></video></figure>







Generate reports on demand.



Users can request custom metrics, benchmarks and performance reports through a simple prompt rather than building multiple reports manually.



<figure class="wp-block-video"><video height="1080" width="1920" controls src="https://searchengineland.com/wp-content/seloads/2026/06/Google-Ask-Ad-Manager-Monitor_Performance.mp4"></video></figure>







Navigate Ad Manager faster.



Ask Ad Manager can direct users to relevant pages within the platform and automatically apply the appropriate filters and settings based on the conversation.



<figure class="wp-block-video"><video height="1080" width="1920" controls src="https://searchengineland.com/wp-content/seloads/2026/06/Google-Ask-Ad-manager-Navigation_With_Ease.mp4"></video></figure>







Why we care. For publishers managing large inventories and complex campaigns, the ability to quickly surface insights and diagnose issues could reduce operational workload and accelerate decision-making.



The feature also reflects a growing shift across ad tech toward AI agents that can perform tasks and streamline workflows instead of simply generating information.



Looking ahead. Google says Ask Ad Manager is just the beginning of a broader move toward what it calls a more &#8220;agentic&#8221; future for advertising operations.



The company plans to introduce additional AI capabilities throughout the year, including developer tools such as REST APIs and an MCP server to support workflow automation and integrations.



Google is also developing specialized agents that could help publishers and agencies discover inventory, negotiate deals and execute campaigns more efficiently.



Bottom line. <a href="https://blog.google/products/admanager/ask-ad-manager/">Ask Ad Manager</a> brings Gemini-powered assistance directly into Google Ad Manager, giving publishers a new way to access insights, resolve issues and manage advertising operations through natural language prompts.

Google is bringing generative AI directly into Google Ad Manager with the launch of Ask Ad Manager, a new Gemini-powered assistant designed to help publishers analyze performance, troubleshoot issues and navigate the platform using natural language.
The beta launches this month as Google pushes deeper into AI-powered ad operations.
What’s happening. Ask Ad Manager is a conversational AI agent built specifically for publishers using Google Ad Manager.
Unlike traditional reporting tools, publishers can ask questions in plain language and receive personalized answers, recommendations and reports based on their own Ad Manager data.
Google says the tool is designed to help users move from analysis to action faster by reducing the time spent generating reports, diagnosing problems and navigating the platform.
What it can do:
Troubleshoot delivery issues.



Instead of manually pulling reports to investigate underperforming line items, publishers can ask the AI agent questions and receive guidance on potential causes and next steps.








Generate reports on demand.



Users can request custom metrics, benchmarks and performance reports through a simple prompt rather than building multiple reports manually.








Navigate Ad Manager faster.



Ask Ad Manager can direct users to relevant pages within the platform and automatically apply the appropriate filters and settings based on the conversation.








Why we care. For publishers managing large inventories and complex campaigns, the ability to quickly surface insights and diagnose issues could reduce operational workload and accelerate decision-making.
The feature also reflects a growing shift across ad tech toward AI agents that can perform tasks and streamline workflows instead of simply generating information.
Looking ahead. Google says Ask Ad Manager is just the beginning of a broader move toward what it calls a more “agentic” future for advertising operations.
The company plans to introduce additional AI capabilities throughout the year, including developer tools such as REST APIs and an MCP server to support workflow automation and integrations.
Google is also developing specialized agents that could help publishers and agencies discover inventory, negotiate deals and execute campaigns more efficiently.
Bottom line. Ask Ad Manager brings Gemini-powered assistance directly into Google Ad Manager, giving publishers a new way to access insights, resolve issues and manage advertising operations through natural language prompts.

Google is embedding AI into publisher workflows, making it easier to analyze performance and act on insights from a chat interface.

Google launches AI agent for Ad Manager

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/06/world-cup-google-ai-overviews.png" class="attachment-large size-large wp-post-image" alt="World Cup Google AI Overviews" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/06/world-cup-google-ai-overviews.png 1920w, https://searchengineland.com/wp-content/seloads/2026/06/world-cup-google-ai-overviews-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/06/world-cup-google-ai-overviews-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/06/world-cup-google-ai-overviews-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>As Google's AI Overviews arrive more quickly for developing stories, publishers are adjusting workflows to capture search interest early.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/06/world-cup-google-ai-overviews.png" class="attachment-large size-large wp-post-image" alt="World Cup Google AI Overviews" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/06/world-cup-google-ai-overviews.png 1920w, https://searchengineland.com/wp-content/seloads/2026/06/world-cup-google-ai-overviews-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/06/world-cup-google-ai-overviews-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/06/world-cup-google-ai-overviews-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
USA Today Co. is using AI-assisted shell files to publish breaking sports coverage faster. The strategy is designed to capture search traffic before Google’s AI Overviews summarize the news.



The publisher tested the approach during the 2026 Winter Olympics and is now using it for coverage of the 2026 FIFA World Cup, Digiday reported.



USA Today pre-writes breaking stories. The USA Today network, which includes the flagship site and more than 200 local publications, creates automated shell files for likely breaking news events. AI pulls subheads, photos, and links from the publisher’s archive. Editors turn that material into ready-to-publish files, allowing reporters to add new details, update the headline, and publish quickly.



<ul class="wp-block-list">
<li>“We’re trying not to be as reliant on SEO strategy. Pre-writes are huge,” Alicia DelGallo, USA Today Sports editorial director, told Digiday.</li>
</ul>



The search window is shrinking. Publishers have long pre-written stories to move faster in Google Search. AI Overviews have increased the pressure.



<ul class="wp-block-list">
<li>DelGallo said USA Today wants to publish while search interest is still rising, before Google has enough information to generate an AI Overview.</li>



<li>Barry Adams, founder of Polemic Digital, told Digiday he has seen AI Overviews appear for news events within about four hours and no later than half a day, though he said there is no firm data yet.</li>
</ul>



Olympics coverage drove 116 million views. USA Today Co. said its national and local network generated 116 million page views from Winter Olympics coverage between Jan. 1 and Feb. 28. The flagship USA Today site drew 91 million page views, up 82% from the 2022 Winter Olympics.



<ul class="wp-block-list">
<li>DelGallo said the shell-file system helped the publisher move quickly on breaking Olympics coverage, including Lindsey Vonn’s crash.</li>
</ul>



Why we care. AI Overviews can compress breaking news into answers within hours. Publishing first improves your chances of capturing search demand before Google answers the query itself.



World Cup gets the playbook. USA Today Co. is now using the system for World Cup coverage, with five shell files ready each day. The publisher is also investing in original reporting. It has reporters in all 16 host cities and a dedicated World Cup hub.



<ul class="wp-block-list">
<li>DelGallo said the newsroom wants stories that don’t read like generic search content. That means stronger byline authority, more on-the-ground reporting, and angles readers can’t find elsewhere.</li>
</ul>



Traffic may still fall short. USA Today Co. has 40 million monthly unique visitors to its sports content and expects a World Cup traffic boost, especially with the U.S. co-hosting the tournament. DelGallo said USA Today still expects “massive audience” spikes from the World Cup. But she said AI Overviews have likely lowered the traffic ceiling compared with a year ago.



The report. <a href="https://digiday.com/media/how-usa-today-co-is-trying-to-beat-ai-overviews-on-world-cup-news/" target="_blank" rel="noopener">How USA Today Co. is trying to beat AI Overviews on World Cup news</a>

USA Today Co. is using AI-assisted shell files to publish breaking sports coverage faster. The strategy is designed to capture search traffic before Google’s AI Overviews summarize the news.
The publisher tested the approach during the 2026 Winter Olympics and is now using it for coverage of the 2026 FIFA World Cup, Digiday reported.
USA Today pre-writes breaking stories. The USA Today network, which includes the flagship site and more than 200 local publications, creates automated shell files for likely breaking news events. AI pulls subheads, photos, and links from the publisher’s archive. Editors turn that material into ready-to-publish files, allowing reporters to add new details, update the headline, and publish quickly.
“We’re trying not to be as reliant on SEO strategy. Pre-writes are huge,” Alicia DelGallo, USA Today Sports editorial director, told Digiday.
The search window is shrinking. Publishers have long pre-written stories to move faster in Google Search. AI Overviews have increased the pressure.
DelGallo said USA Today wants to publish while search interest is still rising, before Google has enough information to generate an AI Overview.
Barry Adams, founder of Polemic Digital, told Digiday he has seen AI Overviews appear for news events within about four hours and no later than half a day, though he said there is no firm data yet.
Olympics coverage drove 116 million views. USA Today Co. said its national and local network generated 116 million page views from Winter Olympics coverage between Jan. 1 and Feb. 28. The flagship USA Today site drew 91 million page views, up 82% from the 2022 Winter Olympics.
DelGallo said the shell-file system helped the publisher move quickly on breaking Olympics coverage, including Lindsey Vonn’s crash.
Why we care. AI Overviews can compress breaking news into answers within hours. Publishing first improves your chances of capturing search demand before Google answers the query itself.
World Cup gets the playbook. USA Today Co. is now using the system for World Cup coverage, with five shell files ready each day. The publisher is also investing in original reporting. It has reporters in all 16 host cities and a dedicated World Cup hub.
DelGallo said the newsroom wants stories that don’t read like generic search content. That means stronger byline authority, more on-the-ground reporting, and angles readers can’t find elsewhere.
Traffic may still fall short. USA Today Co. has 40 million monthly unique visitors to its sports content and expects a World Cup traffic boost, especially with the U.S. co-hosting the tournament. DelGallo said USA Today still expects “massive audience” spikes from the World Cup. But she said AI Overviews have likely lowered the traffic ceiling compared with a year ago.
The report. How USA Today Co. is trying to beat AI Overviews on World Cup news

As Google's AI Overviews arrive more quickly for developing stories, publishers are adjusting workflows to capture search interest early.

USA Today vs. Google AI Overviews: A World Cup battle for breaking news traffic

<div><img width="1672" height="941" src="https://searchengineland.com/wp-content/seloads/2026/06/Google-supplemental-conversion-data.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/06/Google-supplemental-conversion-data.png 1672w, https://searchengineland.com/wp-content/seloads/2026/06/Google-supplemental-conversion-data-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/06/Google-supplemental-conversion-data-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/06/Google-supplemental-conversion-data-1200x675.png 1200w" sizes="(max-width: 1672px) 100vw, 1672px" /></div>Google is allowing advertisers to gain more complete measurement and improve bidding performance with stronger first-party signals.

<div><img width="1672" height="941" src="https://searchengineland.com/wp-content/seloads/2026/06/Google-supplemental-conversion-data.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/06/Google-supplemental-conversion-data.png 1672w, https://searchengineland.com/wp-content/seloads/2026/06/Google-supplemental-conversion-data-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/06/Google-supplemental-conversion-data-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/06/Google-supplemental-conversion-data-1200x675.png 1200w" sizes="(max-width: 1672px) 100vw, 1672px" /></div>
Google Ads is rolling out a beta that allows advertisers to connect additional data sources directly to website conversion actions, giving marketers a new way to supplement tag-based measurement with backend conversion data.



The feature enables advertisers to combine conversion signals collected through Google tags with transaction data from systems such as CRMs, order databases and ecommerce platforms.



What&#8217;s new. Advertisers can now attach an additional data source to an existing website conversion action through Google Ads Data Manager or the Data Manager API.



The beta is designed to supplement — not replace — website tagging by allowing advertisers to send conversion data from backend systems into the same conversion action used for campaign measurement and optimization.



Why we care. The new beta helps fill conversion measurement gaps by combining Google tag data with first-party data from backend systems like CRMs and order databases. This can recover conversions that may be missed due to browser restrictions, privacy settings, or ad blockers, giving advertisers a more complete view of campaign performance.



Why Google launched it. According to Google, combining tag-based measurement with backend conversion data can help advertisers create a more complete picture of conversions and improve campaign performance.



The company says the feature can help:



<ul class="wp-block-list">
<li>Recover conversions that may not be captured by website tags.</li>



<li>Improve measurement resilience.</li>



<li>Provide more comprehensive data for automated bidding.</li>



<li>Simplify data integration through Data Manager.</li>
</ul>



How it works. The system combines website conversion data collected through Google tags with conversion records uploaded from an advertiser&#8217;s backend systems.



To prevent duplicate reporting, Google uses transaction IDs to identify and deduplicate conversions between the tag and the additional data source within the same conversion action.



What advertisers need to know. The beta is currently limited to website conversion actions that use Google tag or Google Tag Manager implementations.



It is not available for:



<ul class="wp-block-list">
<li>Google Analytics imported conversions.</li>



<li>URL-based conversion actions.</li>
</ul>



Google recommends adding an additional data source to an existing conversion action rather than creating a new one to avoid potential double-counting across campaign goals.



Data requirements. Every upload must include:



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



<li>Conversion date and time.</li>
</ul>



Advertisers must also provide at least one attribution identifier, such as hashed customer information or a Google click identifier.



Google recommends uploading conversion data as quickly as possible and ensuring uploaded conversion values match the same currency format used by website tags.



Bottom line. The beta marks <a href="https://support.google.com/google-ads/answer/16542291">Google&#8217;s latest effort to strengthen conversion measurement</a> by bringing backend transaction data directly into Google Ads. As advertisers look for more complete performance data, the new capability offers a streamlined way to supplement website measurement with first-party business data.

Google Ads is rolling out a beta that allows advertisers to connect additional data sources directly to website conversion actions, giving marketers a new way to supplement tag-based measurement with backend conversion data.
The feature enables advertisers to combine conversion signals collected through Google tags with transaction data from systems such as CRMs, order databases and ecommerce platforms.
What’s new. Advertisers can now attach an additional data source to an existing website conversion action through Google Ads Data Manager or the Data Manager API.
The beta is designed to supplement — not replace — website tagging by allowing advertisers to send conversion data from backend systems into the same conversion action used for campaign measurement and optimization.
Why we care. The new beta helps fill conversion measurement gaps by combining Google tag data with first-party data from backend systems like CRMs and order databases. This can recover conversions that may be missed due to browser restrictions, privacy settings, or ad blockers, giving advertisers a more complete view of campaign performance.
Why Google launched it. According to Google, combining tag-based measurement with backend conversion data can help advertisers create a more complete picture of conversions and improve campaign performance.
The company says the feature can help:
Recover conversions that may not be captured by website tags.
Improve measurement resilience.
Provide more comprehensive data for automated bidding.
Simplify data integration through Data Manager.
How it works. The system combines website conversion data collected through Google tags with conversion records uploaded from an advertiser’s backend systems.
To prevent duplicate reporting, Google uses transaction IDs to identify and deduplicate conversions between the tag and the additional data source within the same conversion action.
What advertisers need to know. The beta is currently limited to website conversion actions that use Google tag or Google Tag Manager implementations.
It is not available for:
Google Analytics imported conversions.
URL-based conversion actions.
Google recommends adding an additional data source to an existing conversion action rather than creating a new one to avoid potential double-counting across campaign goals.
Data requirements. Every upload must include:
Transaction ID.
Conversion date and time.
Advertisers must also provide at least one attribution identifier, such as hashed customer information or a Google click identifier.
Google recommends uploading conversion data as quickly as possible and ensuring uploaded conversion values match the same currency format used by website tags.
Bottom line. The beta marks Google’s latest effort to strengthen conversion measurement by bringing backend transaction data directly into Google Ads. As advertisers look for more complete performance data, the new capability offers a streamlined way to supplement website measurement with first-party business data.

Google is allowing advertisers to gain more complete measurement and improve bidding performance with stronger first-party signals.

Google Ads launches beta for supplemental conversion data

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/06/search-ai-transformation.png" class="attachment-large size-large wp-post-image" alt="Search AI transformation" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/06/search-ai-transformation.png 1920w, https://searchengineland.com/wp-content/seloads/2026/06/search-ai-transformation-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/06/search-ai-transformation-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/06/search-ai-transformation-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>40% of U.S. adults use chatbots for search, making information lookup their most common AI chatbot activity, according to Pew Research.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/06/search-ai-transformation.png" class="attachment-large size-large wp-post-image" alt="Search AI transformation" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/06/search-ai-transformation.png 1920w, https://searchengineland.com/wp-content/seloads/2026/06/search-ai-transformation-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/06/search-ai-transformation-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/06/search-ai-transformation-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
AI is changing how Americans search for information. A new Pew Research Center report found that 60% read AI-generated summaries at the top of search results, and about 40% use chatbots to find information.



AI-generated answers now appear across both traditional search results and dedicated chatbot platforms, including tools like ChatGPT, Gemini, and Copilot, Pew found.



AI summaries reach most searchers. Six in 10 U.S. adults said they’ve read AI summaries at the top of search results, Pew found. Three in 10 said they haven’t.



<ul class="wp-block-list">
<li>Another 10% were unsure, suggesting some users don’t clearly recognize AI summaries in search results.</li>



<li>Men were slightly more likely than women to report reading them, 63% versus 57%. Adults 65 and older were the least likely age group to read them.</li>
</ul>



Chatbots are search tools. About half of U.S. adults now use AI chatbots, up from about one-third in 2024. Roughly one in four adults use them daily.



<ul class="wp-block-list">
<li>Searching for information was the most common chatbot use Pew measured. About 40% of U.S. adults use chatbots for search, ahead of entertainment, image and video creation, medical advice, fitness information, news, emotional support, and companionship.</li>



<li>Work was close behind. Among employed adults, 38% said they use chatbots for job-related tasks.</li>
</ul>



ChatGPT dominates. ChatGPT remains the most widely used chatbot by a wide margin. Pew found that 44% of U.S. adults now use ChatGPT, up from 34% last year and more than double the share measured in 2023.



<ul class="wp-block-list">
<li>Gemini ranked second, with about a quarter of adults using it. Copilot and Meta AI followed.</li>



<li>Grok, Claude, and Character.ai had much smaller reach. About one in 10 adults or fewer said they had used each tool.</li>
</ul>



Why we care. People now find information through traditional results, AI summaries, and chatbot answers. A traditional search ranking may not reflect every place people now find answers.



Dig deeper. <a href="https://searchengineland.com/ai-search-adoption-rises-consumer-trust-declines-study-480338">AI search adoption rises as consumer trust declines: Study</a>



About the data. Pew Research Center surveyed 5,119 U.S. adults from Feb. 17-23, 2026, through its nationally representative American Trends Panel. The full-sample margin of error was plus or minus 1.6 percentage points.



The report. <a href="https://www.pewresearch.org/internet/2026/06/17/americans-and-ai-2026-chatbots-smart-devices-and-views-on-impact/">Americans and AI 2026: Chatbots, Smart Devices and Views on Impact</a>

AI is changing how Americans search for information. A new Pew Research Center report found that 60% read AI-generated summaries at the top of search results, and about 40% use chatbots to find information.
AI-generated answers now appear across both traditional search results and dedicated chatbot platforms, including tools like ChatGPT, Gemini, and Copilot, Pew found.
AI summaries reach most searchers. Six in 10 U.S. adults said they’ve read AI summaries at the top of search results, Pew found. Three in 10 said they haven’t.
Another 10% were unsure, suggesting some users don’t clearly recognize AI summaries in search results.
Men were slightly more likely than women to report reading them, 63% versus 57%. Adults 65 and older were the least likely age group to read them.
Chatbots are search tools. About half of U.S. adults now use AI chatbots, up from about one-third in 2024. Roughly one in four adults use them daily.
Searching for information was the most common chatbot use Pew measured. About 40% of U.S. adults use chatbots for search, ahead of entertainment, image and video creation, medical advice, fitness information, news, emotional support, and companionship.
Work was close behind. Among employed adults, 38% said they use chatbots for job-related tasks.
ChatGPT dominates. ChatGPT remains the most widely used chatbot by a wide margin. Pew found that 44% of U.S. adults now use ChatGPT, up from 34% last year and more than double the share measured in 2023.
Gemini ranked second, with about a quarter of adults using it. Copilot and Meta AI followed.
Grok, Claude, and Character.ai had much smaller reach. About one in 10 adults or fewer said they had used each tool.
Why we care. People now find information through traditional results, AI summaries, and chatbot answers. A traditional search ranking may not reflect every place people now find answers.
Dig deeper. AI search adoption rises as consumer trust declines: Study



About the data. Pew Research Center surveyed 5,119 U.S. adults from Feb. 17-23, 2026, through its nationally representative American Trends Panel. The full-sample margin of error was plus or minus 1.6 percentage points.
The report. Americans and AI 2026: Chatbots, Smart Devices and Views on Impact

40% of U.S. adults use chatbots for search, making information lookup their most common AI chatbot activity, according to Pew Research.

Pew: 60% of Americans read AI summaries in search results

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/06/first-in-the-dark.png" class="attachment-large size-large wp-post-image" alt="First but in the dark" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/06/first-in-the-dark.png 1920w, https://searchengineland.com/wp-content/seloads/2026/06/first-in-the-dark-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/06/first-in-the-dark-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/06/first-in-the-dark-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Lily Ray’s study found Google cited brands’ own listicles in AI Overviews, yet excluded those brands from recommendations in most cases.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/06/first-in-the-dark.png" class="attachment-large size-large wp-post-image" alt="First but in the dark" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/06/first-in-the-dark.png 1920w, https://searchengineland.com/wp-content/seloads/2026/06/first-in-the-dark-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/06/first-in-the-dark-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/06/first-in-the-dark-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
Google AI Overviews cited self-promotional “best” listicles while excluding the brands behind them from recommendations in 69% of cases, according to a new analysis of B2B software queries by Lily Ray.



Brands have used self-serving listicles to influence AI search results, but Ray found Google often cited those pages while recommending competitors instead.



By the numbers. Ray analyzed 100 B2B “best [category] software” queries in Google AI Overviews across three dates: April 15, May 15, and June 8.



<ul class="wp-block-list">
<li>Of the 80 prompts that triggered an AI Overview, self-promotional listicles were cited 323 times.</li>



<li>In 224 cases, Google cited a brand’s own page but didn&#8217;t recommend that brand.</li>
</ul>



Competitors get recommended. Ray documented several cases where Google cited a brand’s “best” listicle while recommending better-known competitors.



<ul class="wp-block-list">
<li>For “best LMS for selling courses,” Google cited Oasis LMS but did not recommend it. Instead, it recommended Kajabi, Thinkific, LearnWorlds, and Teachable — all of which are named in the Oasis LMS article.</li>



<li>Similar patterns appeared in queries for help desk, task management, survey, CRM, and SEO software.</li>
</ul>



Stronger brands still appeared. Brands that already led their categories, were widely mentioned by third-party sources, and had stronger link profiles were more likely to appear in AI Overview recommendations, according to Ray.



<ul class="wp-block-list">
<li>The data showed a consistent split between citations and recommendations. A brand’s page could appear as a source while competitors received the recommendation.</li>
</ul>



Organic visibility fell. Ray also reported organic search declines for many sites that relied heavily on self-promotional listicles.



<ul class="wp-block-list">
<li>The declines began around Jan. 20, across dozens of sites she analyzed. Many also scaled other SEO- and GEO-focused content formats, including AI-generated articles, comparison pages, and large volumes of “best” pages ranking their own brand first.</li>



<li>Those declines continued and accelerated during Google’s May 2026 core update, according to Ray.</li>
</ul>



Review sites gained citations. Ray found Google relied heavily on third-party and user-generated-content sites for “best” queries, with Reddit citations increasing sharply in recent months.



<ul class="wp-block-list">
<li>Forbes, Reddit, and YouTube were among the most-cited domains in AI Overview responses containing “best.”</li>
</ul>



Why we care. A citation is not a recommendation. Your content can appear in an AI answer while helping competitors capture the visibility that matters most.



Catch up quick. Search Engine Land previously reported that some <a href="https://searchengineland.com/google-cracking-down-self-promotional-best-of-listicles-468227">SaaS and B2B brands lost 30% to 50% of their visibility</a> after relying heavily on self-ranked “best” pages, based on earlier research from Ray.



<ul class="wp-block-list">
<li>Search Engine Land also reported that the tactic <a href="https://searchengineland.com/low-quality-listicles-trend-google-search-473703">may create legal risk</a> under the FTC’s Consumer Review Rule when company-controlled content is presented as independent reviews, reviews are not based on real use, or material relationships are not clearly disclosed.</li>
</ul>



About the data. Using Ahrefs Brand Radar, Ray collected AI Overview answer text and cited sources for 100 B2B “best [category] software” queries at three checkpoints between April and June. The analysis measured two outcomes: whether a self-promotional listicle was cited and whether the brand behind it was recommended.



The report. <a href="https://lilyraynyc.substack.com/p/why-calling-yourself-the-best-could">Why Calling Yourself the </a><a href="https://lilyraynyc.substack.com/p/why-calling-yourself-the-best-could" target="_blank" rel="noopener">B</a><a href="https://lilyraynyc.substack.com/p/why-calling-yourself-the-best-could">est Could Be Helping Your Competitors Win in AI Search</a>

Google AI Overviews cited self-promotional “best” listicles while excluding the brands behind them from recommendations in 69% of cases, according to a new analysis of B2B software queries by Lily Ray.
Brands have used self-serving listicles to influence AI search results, but Ray found Google often cited those pages while recommending competitors instead.
By the numbers. Ray analyzed 100 B2B “best [category] software” queries in Google AI Overviews across three dates: April 15, May 15, and June 8.
Of the 80 prompts that triggered an AI Overview, self-promotional listicles were cited 323 times.
In 224 cases, Google cited a brand’s own page but didn’t recommend that brand.
Competitors get recommended. Ray documented several cases where Google cited a brand’s “best” listicle while recommending better-known competitors.
For “best LMS for selling courses,” Google cited Oasis LMS but did not recommend it. Instead, it recommended Kajabi, Thinkific, LearnWorlds, and Teachable — all of which are named in the Oasis LMS article.
Similar patterns appeared in queries for help desk, task management, survey, CRM, and SEO software.
Stronger brands still appeared. Brands that already led their categories, were widely mentioned by third-party sources, and had stronger link profiles were more likely to appear in AI Overview recommendations, according to Ray.
The data showed a consistent split between citations and recommendations. A brand’s page could appear as a source while competitors received the recommendation.
Organic visibility fell. Ray also reported organic search declines for many sites that relied heavily on self-promotional listicles.
The declines began around Jan. 20, across dozens of sites she analyzed. Many also scaled other SEO- and GEO-focused content formats, including AI-generated articles, comparison pages, and large volumes of “best” pages ranking their own brand first.
Those declines continued and accelerated during Google’s May 2026 core update, according to Ray.
Review sites gained citations. Ray found Google relied heavily on third-party and user-generated-content sites for “best” queries, with Reddit citations increasing sharply in recent months.
Forbes, Reddit, and YouTube were among the most-cited domains in AI Overview responses containing “best.”
Why we care. A citation is not a recommendation. Your content can appear in an AI answer while helping competitors capture the visibility that matters most.
Catch up quick. Search Engine Land previously reported that some SaaS and B2B brands lost 30% to 50% of their visibility after relying heavily on self-ranked “best” pages, based on earlier research from Ray.
Search Engine Land also reported that the tactic may create legal risk under the FTC’s Consumer Review Rule when company-controlled content is presented as independent reviews, reviews are not based on real use, or material relationships are not clearly disclosed.
About the data. Using Ahrefs Brand Radar, Ray collected AI Overview answer text and cited sources for 100 B2B “best [category] software” queries at three checkpoints between April and June. The analysis measured two outcomes: whether a self-promotional listicle was cited and whether the brand behind it was recommended.
The report. Why Calling Yourself the Best Could Be Helping Your Competitors Win in AI Search

Lily Ray’s study found Google cited brands’ own listicles in AI Overviews, yet excluded those brands from recommendations in most cases.

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Read the Latest Trends and Headlines in Digital Marketing.

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

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