Google Search Console Adds Global AI Reports for Search and Discover Visibility

Google has rolled out dedicated generative AI performance reports in Search Console to websites worldwide. The reports give site owners a separate view of when their URLs appear in Google Search generative AI features, including AI Overviews and AI Mode, as well as in Discover. For businesses trying to understand how AI-enabled search affects their visibility, the change creates a measurable signal that previously sat outside traditional Search Console reporting.

Google introduced the reports on June 3, 2026, initially to a subset of sites for testing and feedback. According to Google's Search Central announcement, the reporting was subsequently made available globally on August 31, 2026. Search Console also offers a separate generative AI control for publishers that want to manage whether their content appears in these features.

The key point is that AI visibility is now a distinct reporting category. It does not replace the existing Performance report or merge AI appearances into a single traditional-search metric. Instead, website owners can examine generative AI exposure directly, then compare the patterns with their broader search performance and content priorities.

What the new AI reports measure

An AI impression occurs when a URL appears in a generative AI feature. Google provides dedicated reporting views so site owners can identify how often this happens and which content is involved. The available dimensions focus on the practical questions teams need to answer: what appeared, where it appeared, and when.

The reports include:

• Impressions, showing appearances of URLs in generative AI features.
• Pages, identifying the URLs that appeared.
• Countries, showing the markets associated with the appearances.
• Devices, where available for Search results.
• Dates, with hourly, daily, weekly, or monthly granularity described in Google's reporting materials.

This is useful because a page can gain AI-feature exposure without that visibility being obvious from a conventional ranking review. A business may find that particular explanatory, product, or reference content appears in AI-generated results more often than other pages. Conversely, low AI impression counts are possible, particularly as reporting and generative experiences continue to develop. The reports are evidence of appearance, not a blanket measure of a site's overall performance in Google Search.

Why separate AI reporting matters

Separating AI reports from overall Performance data helps prevent an important analytical mistake: treating AI-feature visibility as identical to conventional search visibility. These are related signals, but Google presents them in different reporting surfaces.

For content teams, that distinction supports more focused review. Rather than assuming that pages with strong traditional performance will also appear in AI features, they can inspect the Pages dimension and see which URLs actually receive AI impressions. Country, device, and date views can then help establish whether the visibility is concentrated in a particular market, search context, or period.

The reports also make discussions about generative search more concrete. Decisions can be based on observed appearances instead of assumptions about whether a website is being surfaced in AI results.

Turning AI impression data into practical SEO decisions

The first step is to treat the reports as a regular diagnostic view, not as a standalone success metric. Review the pages receiving AI impressions, then assess whether those pages match the content a business wants prospective customers to encounter. The data can inform editorial and SEO work, but it does not by itself explain why Google selected a URL or guarantee traffic, rankings, or commercial outcomes.

A practical review process can be simple:

1. Identify the URLs with AI impressions. Look for recurring content types, topics, and pages that appear in Search or Discover AI features.
2. Compare periods and markets. Use the date and country dimensions to spot changes in visibility or concentration in particular locations.
3. Review content priorities. If important pages are appearing, ensure their information remains accurate, clear, and aligned with the business's current offering. If unexpected pages appear, decide whether they are still appropriate representatives of the site.
4. Keep traditional reporting in view. The AI reports are separate from core Performance data, so use both perspectives rather than drawing conclusions from only one report.

This approach is especially relevant for teams that publish educational content, product information, help material, or other pages that may be useful in generative answers. It can reveal where a site is appearing, while preserving the need to evaluate broader search performance independently.

The generative AI control gives publishers a choice

Google's reporting rollout also includes a separate Search generative AI control. Publishers can use it to manage inclusion in generative AI features, including an opt-out option. Changes do not take effect immediately: Google says propagation can take a few days.

That control makes the reporting more actionable. A publisher can review AI appearances and make an informed choice about inclusion rather than treating participation as invisible or uncontrollable. The appropriate decision will depend on the site's content, business goals, and comfort with its pages being represented in AI-enabled results.

Teams should avoid making a rapid decision based on a small amount of early data. Google notes that some sites may see low AI impression volumes, and the reports are distinct from the main Performance data. A more useful approach is to establish a reporting cadence, monitor the pages and markets involved, and document why an inclusion or opt-out decision was made.

For businesses, this rollout is a prompt to make AI search visibility part of normal content review. Scalevise can help turn Search Console findings into a clear measurement approach and identify where your content is represented in AI-driven results. Use the Scalevise AI Visibility and GEO Checker to assess your brand's visibility across AI search experiences and prioritize the next actions from the data. Start an AI Visibility scan.

Frequently Asked Questions

What are Google Search Console AI performance reports?

They are dedicated Search Console reports that show when a site's URLs appear in Google's generative AI features in Search and Discover. They are separate from the core Performance reports.

Which Google AI features are included in the Search reports?

Google's announcement identifies AI Overviews and AI Mode as Search generative AI features covered by the reporting.

What counts as an AI impression in Search Console?

An AI impression is recorded when a URL appears in a generative AI feature, according to Google's help content and reporting definitions.

Can publishers opt out of Google's generative AI features?

Yes. Google provides a separate Search generative AI control that publishers can use to manage inclusion, including opting out. Google says changes can take a few days to propagate.

Are AI impressions part of the normal Search Console Performance report?

No. Google describes the AI-focused reports as separate from overall Performance data, giving site owners a dedicated view of generative AI appearances.

Conclusion

Google's global rollout of Search Console AI performance reports gives website owners a direct way to monitor when their URLs appear in AI Overviews, AI Mode, and Discover. The value lies in using this separate visibility data alongside established Search Console reporting, reviewing the pages involved, and making deliberate decisions about participation through Google's generative AI control.