Google Search Console Adds Generative AI Reports for AI Overviews and AI Mode
Google has rolled out dedicated Generative AI performance reports in Search Console, separating impressions from AI Overviews and AI Mode from other search reporting.
Google Search Console now has dedicated Generative AI performance reports for measuring a website's appearances in Google's AI search experiences. The reports separate visibility in AI Overviews and AI Mode from the rest of Search Console reporting, giving site owners a first-party view of how often their pages appear in these generative surfaces.
Google announced the reports on June 3, 2026, beginning with testing on a subset of websites, initially in the UK. The company later said the insights had reached all websites worldwide by August 31, 2026. As described in Google's official announcement of Generative AI performance reports, the new reporting surface is built around impressions, not a complete replacement for standard Search Console performance data.
That distinction matters. A page appearing in an AI Overview or AI Mode response can now be counted in a dedicated report, but the available data does not show which individual queries generated those appearances or provide click-level reporting within this new view. For website owners, the reports are therefore most useful as a visibility signal: they can show whether content is being surfaced in Google's generative experiences, not yet explain the full path from an appearance to a visit or business outcome.
What Google's Generative AI reports measure
The dedicated reports cover generative AI features in Google Search, particularly AI Overviews and AI Mode. Google also includes generative AI features in Discover within the broader scope of this reporting. The core metric is impressions, meaning the number of times a site's URLs appeared in eligible AI features.
Google documents the following dimensions in the reports:
- Impressions for URLs shown in generative AI features.
- Pages, with impressions associated with the final page URL and aggregated by canonical URL.
- Countries and devices for examining where and how appearances occurred.
- Dates for tracking visibility over time.
The reports create a clearer boundary between ordinary Google Search reporting and generative AI appearances. They do not turn AI visibility into a directly attributable traffic or conversion metric. A rising impression count can indicate that Google is surfacing a site's content more often in AI experiences, but it cannot by itself establish whether those appearances produced clicks, leads, sales, or other outcomes.
| Reporting area | What it covers | Data described in the research |
|---|---|---|
| Generative AI performance reports | AI Overviews, AI Mode, and generative AI features in Discover | Impressions, pages, countries, devices, and dates |
| Traditional Search Console performance reporting | Standard search performance reporting | Separate from the new AI-specific reporting surface |
Why the report is useful, and where it stops
Until this rollout, generative AI appearances did not have an isolated reporting path in Search Console. The new reports give teams a defined place to monitor whether Google's AI features are citing or surfacing their content. That can be especially useful when assessing pages that answer focused customer questions, explain products or services, or provide detailed practical information.
However, impressions are not engagement data. The reporting does not provide per-click information or query data for these AI appearances. That limits the conclusions a business can draw from the report alone. A high number of impressions may be worth investigating, but it should be considered alongside a site's broader Search Console performance and the business's own analytics rather than treated as proof of traffic value.
The canonical URL treatment is also important for interpreting page data. Google says impressions are tied to the final page URL and aggregated by canonical URL. Teams that publish similar pages, manage redirects, or use canonical tags should account for that structure before assuming that a report row represents every URL variant independently.
How to interpret AI search appearances
The practical question is not only whether a website appears in AI features. It is whether that visibility is relevant to the pages, audiences, and commercial goals the site is trying to reach. The report offers a way to establish a baseline and observe changes over time, but the research does not support direct conclusions about clicks or query-level demand from this data alone.
A sensible interpretation process is to:
- Track impression trends by date to see whether AI-feature visibility is growing, declining, or remaining stable.
- Review the canonical pages receiving impressions to identify the content Google is surfacing.
- Compare the report with standard performance reporting and on-site analytics, while recognizing that the new report does not provide click-level attribution for AI features.
- Treat changes as evidence for further content and visibility analysis, not as a standalone measurement of return on investment.
This approach helps avoid two common errors: dismissing AI appearances because they do not immediately show clicks, and overvaluing them because an impression count has increased. The new report makes an emerging layer of search visibility observable. It does not resolve every attribution question surrounding generative search.
Google has also introduced a Search Console control that lets site owners opt out of appearing in AI features. According to Google, opting out removes impressions from AI features but does not affect rankings in non-AI search results. This gives site owners a specific choice over AI-feature visibility without presenting that choice as a change to their ordinary search ranking position.
For businesses, the immediate opportunity is better measurement. Teams can identify whether Google is using their pages in AI-driven experiences and make more informed decisions about what to examine next. The immediate limitation is equally clear: the report provides visibility data, not a complete explanation of user behavior after an AI appearance.
For businesses trying to understand whether generative search is surfacing the pages that matter most, visibility needs to be measured alongside content quality and commercial relevance. Scalevise can help connect AI-search observations to a practical plan for improving discoverability, prioritizing the right pages, and avoiding decisions based on impression counts alone. Use the Scalevise AI Visibility and GEO Checker to assess your presence across AI-driven search experiences and start an AI Visibility scan.
Frequently Asked Questions
What are Google Search Console Generative AI performance reports?
They are dedicated Search Console reports for measuring impressions of a site's URLs in Google's generative AI experiences, including AI Overviews and AI Mode.
What data do the Generative AI reports include?
Google documents impressions, pages, countries, devices, and dates. Impressions are associated with the final page URL and aggregated by canonical URL.
Do the reports show clicks or search queries for AI Overviews and AI Mode?
No. The new reporting is impression-based and does not provide per-click or query data for these AI appearances.
Are the Generative AI reports available worldwide?
Yes. Google said on August 31, 2026, that the insights had rolled out to all websites worldwide after an earlier limited test.
Can a site opt out of Google's AI features without affecting standard rankings?
Google says its Search Console control can opt a site out of AI-feature appearances. This prevents impressions from AI features but does not affect non-AI search rankings.
Conclusion
Google's Generative AI performance reports give website owners a dedicated, first-party way to observe AI Overview and AI Mode visibility. Their value is in making those appearances measurable. Their limitation is that impressions alone cannot show queries, clicks, or commercial impact. Used with broader Search Console and site analytics, the reports provide a more grounded starting point for understanding a site's role in Google's generative search experiences.