Google’s revised privacy policy, in effect since October 16, allows Gmail, Google Photos, and Google Drive content to influence personalized ads when users connect those apps to other Google services, according to gHacks. The change mainly applies to searchers who opt into a feature called Personal Intelligence. Advertisers cannot directly target or bid on those signals, the change sits entirely on the searcher’s side.
What did Google actually change in its privacy policy?
For years, Google’s policy stated it does not show personalized ads based on content from Drive, Gmail, or Photos. That statement remains, but Google has added an exception: the restriction no longer applies when a user chooses to make data from those services available to other Google services that support personalized ads.
A new passage in the policy explains that users can grant Search or Gemini Apps access to information from other Google apps, and that Search may use some of that information to personalize content, including ads. According to Search Engine Journal’s reporting on October 27, the revised policy took effect October 16.
What is Personal Intelligence, and who does this affect?
Personal Intelligence is an opt-in feature that connects Gmail and Google Photos to AI Mode in Search, allowing AI Mode to reference personal context such as hotel bookings, flight confirmations, and travel photos when generating responses. Google first launched it in January 2026 as a Labs experiment in English in the U.S., available to Google AI Pro and AI Ultra subscribers using personal Google accounts. Workspace business, enterprise, and education accounts are excluded.
In its January 2026 announcement on blog.google, Robby Stein, VP of Product for Google Search, described a shopping example: if a user needs a coat for an upcoming trip, AI Mode can automatically factor in the brands they prefer alongside a flight confirmation in Gmail to identify the destination, Chicago in March, and recommend windproof, versatile coats suited to the weather and the user’s style.
When Google expanded Personal Intelligence in March, it said the experience would remain ad-free for now but noted ads were expected to work in a similar way for connected users later. Google is now testing ads within that connected experience, per Search Engine Journal.
How does connected-app data actually reach ads?
According to Google’s Search Help documentation cited in the Search Engine Journal report, ads are not matched directly to raw email or photo content. Instead, Search may reference summaries, excerpts, and inferences (conclusions drawn from that personal data) from connected sources. That same derived information can then be used to show ads.
Google outlines several boundaries:
- No advertiser access to raw data: Advertisers will not see a user’s Gmail inbox or Photos library.
- Sensitive categories excluded: Google does not show personalized ads based on race, religion, sexual orientation, or health.
- User opt-out controls: Users can turn off personalized ads in My Ad Center, or disconnect specific apps by going to Search personalization settings, selecting Connected Content Apps, and removing the apps. Note that turning off ad personalization in My Ad Center alone does not necessarily stop connected apps from feeding data into AI features, disconnecting the apps is the only complete removal.
- AI training use: Connected-app summaries, excerpts, and inferences may also be used to train Google’s generative AI (AI systems that produce text, images, or answers) models, and a subset of data processed by AI Mode and Ask Maps is reviewed by human reviewers.
What changes for advertisers running Google Ads?
In practice: very little you can directly control. Google has not announced new targeting toggles, audience segments, or dedicated reporting for the Personal Intelligence ad test. Campaign eligibility follows existing AI Mode ad rules. Three campaign types qualify: Performance Max, Shopping, and Search campaigns using broad match, including AI Max for Search.
That eligibility does not confirm a campaign has served ads to Personal Intelligence users specifically. There is no dedicated report showing when connected-app information influenced an impression, and Search term, asset, and landing page reports are not expected to identify these signals either, according to Search Engine Journal.
What connected apps could supply is intent context that a user never typed into the search bar. If someone’s Gmail has a flight confirmation to Chicago in March, AI Mode may surface coat ads without the user ever searching for “coat.” That inference happens on Google’s side, invisibly to the advertiser.
What this means for AI-search visibility
The practical shift here is that the query is no longer the only signal Google uses to decide which ads and results appear in AI Mode. For brands competing in AI-generated answers, the playing field now includes context the user never explicitly expressed.
Suppose a user searches for “weekend plans.” Before, Google matched that vague query to general results. With Personal Intelligence enabled, AI Mode might already know the user has a family trip booked, has photographed ice cream shops in the past, and bought outdoor gear recently. The “query” is now the query plus a profile assembled from their inbox and photo library. Brands that show up in AI Mode now have to be relevant not just to a keyword, but to a user context they cannot see or bid on directly.
For AI-search visibility, this raises a question that no reporting tool currently answers: is your brand appearing in AI Mode responses driven by keyword relevance, by personal context signals, or both? The lack of dedicated reporting means brands relying on AI Mode for reach cannot yet attribute results to these signals. In Hingewise’s view, the eligible campaign types (Performance Max, Shopping, and broad match Search) are the only entry points for this test, and advertisers should treat current AI Mode performance data as incomplete until Google adds signal-level transparency.
One angle the sources do not address: publishers and content creators whose content is cited in AI Mode answers are also affected indirectly. If AI Mode increasingly tailors responses to personal context rather than query-based relevance, content that is highly specific and situation-aware (travel guides tied to seasonal timing, product content tied to purchase history patterns) may gain citation advantage over generic evergreen content. This is early speculation, but it follows logically from how Personal Intelligence assembles responses.
The clearest near-term signal to watch: when ads for Personal Intelligence users move beyond testing (Google hasn’t said), and whether Google introduces any advertiser-facing reporting or controls.
Before your next AI Mode campaign review, check:
- Are your active campaigns using Performance Max, Shopping, or broad match Search? Those are the only types currently eligible for this test.
- Review AI Mode impression and click data for unexplained shifts since October 16.
- Check whether your Google Ads account has access to AI Max for Search, one of the campaign types eligible for the AI Mode ad test.
- Audit your product and landing page copy for specificity, content that matches situational context (seasonal, destination-aware, occasion-specific) may perform differently in a personalized AI Mode environment.
- Note that no advertiser action connects you directly to Personal Intelligence signals. Monitor Google Ads announcements for any future opt-in or reporting update tied to this test.
Sources: Search Engine Journal, October 27; Google Blog (blog.google), January 22, 2026
Lam Nguyen · Hingewise
This article was drafted with AI assistance from the sources cited above and checked against them before publishing. The "What this means for AI-search visibility" section is Hingewise's editorial analysis, built on the frameworks and positions we use in our GEO work. How we work: Editorial policy.