AI Report on GSC: What's Changing in Google Search?

Artificial intelligence in search is no longer a distant trend but a central reality for those working with organic acquisition.

In one of the most eagerly awaited updates by market professionals, Google announced the start of testing a panel aimed at tracking artificial intelligence data: the Generative AI Report in Google Search Console (GSC).

This new feature comes with an unprecedented toggle control that promises to give content creators and publishers more autonomy over how their links are displayed in strategic resources such as the AI Overview (known internationally as AI Overviews) and the new Google AI Mode.

If you lead marketing strategies or work directly with search engine optimization, understanding this transition is vital to sustaining your brand's visibility. Below, we explain everything you need to know about this new moment in search.

What you'll see in the post

• What the new AI report in Google Search Console is and how it works
• Technical details about the data on impressions, pages, countries and devices
• How the new AI toggle works on the GSC dashboard
• The direct impact of the new feature on the daily lives of SEO professionals
• How this change accelerates modern strategies such as GEO and AEO
• Frequently asked questions (FAQs) answered directly in a clear and objective way

How does the new AI report work in Search Console?

The new generative AI performance report in Google Search Console, which began restricted testing in June 2026, consolidates page view data into results built by artificial intelligence.

It groups impression metrics into features such as the AI-built Overviews (AI Overviews), the Google AI Mode and assisted responses in Google Discover.

Initially available to a group of creators in the UK due to regulatory demands, the panel is to be gradually expanded globally.

The report offers refined data down to hourly granularity, allowing you to assess how often your pages are the basis for AI responses.

However, at this early stage, the dashboard focuses strictly on impressions, omitting detailed data on clicks and specific queries (keywords).

Caption: Visualization of impression metrics for Generative AI resources (Beta) in the Search Console performance menu. Source: Google Search Console

What changes with the AI Report in Google Search Console?

The biggest change brought about by the new report is the clear separation between conventional search and artificial intelligence-assisted search.

Before the launch of this dashboard, the data generated by AI Overviews was diluted in the overall GSC performance report, which made it impossible to isolate assisted traffic from traditional organic traffic.

aeo
, the report monitors data from May 18, 2026 and focuses on four main dimensions of analysis:

1. Impressions: Shows the exact frequency with which your site's URLs appeared as recommended sources or anchor links within generative AI blocks.
2. Pages: Identifies which of your specific contents are being used by Google's systems to anchor or corroborate the answers that the AI displays.
3. Countries: Allows you to map the geographical distribution of your AI-assisted visibility, highlighting regional differences in search behavior.
4. Devices: Indicates whether your audience is consuming AI answers mostly on mobile or desktop (information of immense value for experience design).

The following table compares traditional organic search behavior with the new AI-assisted ecosystem on the GSC:

Table: Structural comparison of user behavior and crawling between the two Google search models.

Analysis of this structure reveals that artificial intelligence search doesn't just reward the use of keywords, but prioritizes the factual clarity of a site's statements.

When AI synthesizes an answer, it prefers to reference structured sources that are highly machine-readable.

The new AI blocking control in the GSC: what changes for your site?

In addition to the metrics, Google has started testing a direct control in the GSC panel that allows website editors to opt out of appearing in AI-generated responses. It's a toggle that can be turned on or off.

By checking this opt-out option, your domain's URLs will not be used to ground AI responses and will not appear as recommended links in AI Overviews, Google AI Mode or Discover AI.

However, Google has made a point of clarifying a very important technical detail: disabling your participation in generative AI resources will not affect the positioning or ranking of your pages in common organic web search results.

This measure serves as a more flexible alternative to previous controls, such as the use of the Google-Extended agent in the robots.txt file, which prevents the use of data from a website for basic training of language models such as Gemini, but which also limits new types of discovery more drastically.

The benefits and importance of this change for SEO professionals

For those working in optimization, the emergence of these official reports changes the rules of performance monitoring.

Whereas before professionals relied solely on third-party tools to estimate the impact of AI Overviews on their brands, they now have an official, primary database provided by Google itself.

The main advantages of this update for analysts and digital strategists include the following points:

• Validation of GEO and AEO efforts: Digital marketers can prove that the adjustments made with a focus on Generative Engine Optimization (GEO), i.e. making the text intelligible to algorithms (such as self-contained paragraphs and entity structuring), are having an effect by increasing AI impressions.
• Mapping authority gaps: Identifying which pages generate the most AI impressions helps you understand on which topics Google recognizes your site as a highly trusted expert (E-E-A-T).
• Accurate diagnosis of traffic loss: If your click-through traffic drops on a particular URL, but the new report records a spike in AI impressions, this indicates that Google is using your content to answer the user's search directly on the search screen. Understanding how Google's AI is affecting organic traffic helps to adjust the performance expectations of staff and superiors, directing efforts towards more effective assisted conversion tactics.

Why is the lack of clicks in the report the biggest challenge?

The point most debated by the global community of search optimizers is the fact that the initial report does not present click data at the AI level, offering only impression numbers.

Without clicks, estimating the exact conversion rate or direct financial return of a placement in AI Overviews remains a task of indirect analytical cross-checking.

As Google has said it will continue to work with site owners to introduce new metrics over time, click attribution solutions are expected to arrive in future updates.

How to measure success in AI search with complementary metrics?

Until Google provides complete dashboard click data, the smartest recommendation for marketing teams is to cross-reference GSC's AI impression data with metrics from their CRM system (such as HubSpot's).

Closely monitoring assisted conversions, direct brand traffic to the site and using modern tracking tools such as HubSpot's AEO Grader reports gives you a complete picture of how search bots and LLMs interpret your business's institutional presence.

How do people usually search for AI search reports on GSC?

To help answer the most common questions about this new panel and search optimization in the age of conversational algorithms, we've organized the questions professionals ask most often on a daily basis.

Knowing how the feature works People also ask feature is an excellent starting point for structuring highly relevant content that responds directly to your audience's real search intentions.

What data does the Google Search Console AI report show?

The report displays data on AI search impressions, URLs of pages used as sources, geographic visibility distribution by country and the type of device used. Clicks and specific search terms are not reported in the initial phase.

What happens if I use the AI block button in Search Console?

Your site will no longer be displayed as a link recommendation or factual source in the AI Overviews and Google AI Mode responses. This deactivation does not penalize the positioning of your domain in traditional organic search results.

What is the difference between blocking AI in GSC and using Google-Extended?

Blocking directly in the GSC panel prevents links from being displayed in real-time AI search responses. The Google-Extended protocol in robots.txt, on the other hand, prohibits Google from using the site to train models such as Gemini.

Do I need to have Schema markup installed to appear in the AI report?

It's not mandatory, but it's highly recommended. Structured data helps search bots and LLMs extract your information more quickly and clearly, which significantly increases the chances of your content receiving AI citations and impressions.

How do you structure an intelligent AI search strategy today?

The release of the new AI report in Google Search Console confirms what leading search technology experts have been warning: the algorithms have changed, and the measurement of digital marketing results needs to change at the same pace.

Optimizing only for loose keywords in the hope of getting clicks on linear blue links no longer sustains long-term traffic growth.

Artificial intelligence is looking for direct, clean answers that convey real practical knowledge, requiring brands to have a robust, integrated presence on a variety of digital channels, guided by the methodology of Search Everywhere Optimization.

To ensure that your company is not overlooked in response ecosystems, your editorial production workflow must adopt the following best practices for SEO for LLM (Large Language Models):

• Adopt modular structures (chunks): Divide your content so that an AI bot can read a short paragraph under an intertitle and understand the whole response in isolation.
• Be clear and avoid exaggerated jargon.

• Implement crawler assist files: In addition to the traditional robots.txt, evaluate the use of new structured standardization proposals such as the llms.txt file, which provides summaries and reading guides in Markdown optimized specifically for the rapid ingestion of large language models.

The new AI report in the GSC offers a valuable window of visibility. Instead of fighting AI updates, use this data to understand where your brand has the most authority and keep producing content focused on people's utility first.

Considering the recent changes revealed by Google Search Console, what is the first set of pages your team plans to analyze to optimize impressions in the AI ecosystem?

Visibility remains the main digital asset

The new AI Report in Google Search Console represents an important advance for SEO and marketing professionals, as it offers a clearer view of how content is being used in AI-assisted search environments.

However, tracking impressions in AI Overviews and Google AI Mode is only one part of the strategy.

The real challenge lies in increasing your brand's presence at all points of digital discovery.

After all, there's no point in knowing where you appear if you don't have a structured strategy to increase your authority, strengthen your thematic relevance and gain more space in search results, whether traditional or AI-driven.

As Google, ChatGPT, Gemini and other engines begin to prioritize reliable sources and genuinely useful content, visibility no longer depends solely on keywords and becomes the result of an integrated SEO, GEO, AEO and digital authority-building strategy.

Do you want to understand which actions really help your company gain more prominence in searches and increase its presence in search engines?

Then continue reading "How to increase visibility on Google" and discover the strategies that can boost your organic results over the next few years.