Google updates / algorithm / Search Console

GSC: AI performance reports and blocking

Recorded on Jun 3, 2026

Google is expanding Search Console with two central tools for the AI search era: an AI performance report and a toggle that lets website owners exclude content from AI answers in Google Search. Both updates address one of the most pressing questions in online marketing: how do you stay visible when answers are increasingly assembled by generative systems? For SEO teams, publishers, and e-commerce managers, the update marks a turning point because measurability and control now converge in the same interface used to monitor classic search performance.

What Google is rolling out in Search Console

Search Console has long been the central control instrument for organic visibility: clicks, impressions, indexing, and technical errors formed the foundation of every SEO strategy. With the rollout of the AI performance report and the blocking option, Google responds to the shift from classic snippets to AI Overviews and other AI-powered answer formats. Website owners gain not only additional metrics but also a lever to decide whether specific URLs may appear in machine-generated answers.

The AI performance report consolidates data that was previously difficult or impossible to analyze. Instead of looking only at click numbers on blue links, Google now focuses on how often a domain's content is referenced in AI answers and what reach those mentions achieve. In parallel, the new toggle enables targeted blocking: owners can specify that selected content should not be used to generate AI answers in Search. Both features are closely tied to the visibility logic of modern Google Search and should be considered in the overall context of search strategy, not in isolation.

AI performance reports in detail

The new report addresses a gap many SEO managers have felt since AI Overviews and similar formats were introduced. Classic search analytics still show how users click results but reveal little about whether and how content is embedded in generative answers. The AI performance report is intended to make this layer visible and create a basis for data-driven decisions.

Which metrics become relevant

Although Google is rolling out details gradually, the announcement suggests which metrics will matter most to teams. Mentions in AI answers, the reach of those displays, and the connection to known URLs and page types are central. SEO managers can identify which content serves as a trusted source in generative answers and which pages rarely appear in AI contexts. This opens new analysis paths alongside classic rankings and CTR values.

Visibility of URLs in AI answers and AI Overviews
Frequency and reach of mentions in generative context
Alignment with existing Search Console performance data
Identification of content formats with high AI relevance

Analysis for SEO and GEO

For SEO teams, the report extends the reporting stack and makes generative engine optimization more measurable, for example when FAQ structures or authoritative expert articles are cited more often in AI answers.

Blocking content from AI answers

The second update is the toggle to block content from AI answers. Website owners can control whether Google may use specific content to generate answers in Search. This is especially relevant for publishers with paywalls, brands with sensitive product information, or sites whose business model relies on direct visitor traffic rather than external citation.

Blocking is not a replacement for robots.txt or noindex but an additional layer specifically for AI answers in Google Search. When activated, it signals to Google that the affected URLs should not be used as sources in generative answers. For many owners, the strategic question is: does blocking protect valuable content from unwanted display, or does it forfeit visibility in a growing answer format? The answer depends on content type, monetization, and the brand's role in the customer journey.

Both features change how visibility is measured and controlled: the AI performance report turns generative mentions into a plannable KPI, and the blocking option returns control over how your content is used in AI Overviews.

Recommendations for website owners

Once the features are available in your Search Console property, teams should proceed systematically. First, audit the most important URL types: guides, product pages, news, and legal content. Use existing Search Console data as a reference to contextualize AI metrics. If you block content, observe the impact over a defined period and compare it with classic click and impression data.

Check the property and activate the AI performance report when available
Segment top URLs by AI mentions and analyze content patterns
Set blocking rules only for clearly defined content groups
Extend reporting routines with AI KPIs, do not replace existing ones
Align with editorial and legal teams on which content should be citable

Technically, Search Console remains the anchor point: permissions, property assignment, and clean URL structures are prerequisites for meaningful reports. International operators should separate analyses by market and language because AI answers can vary regionally. Long term, the combination of AI reporting and selective blocking will become a standard tool to maximize visibility in Google Search while retaining control over how content is used.

Konrad Ishikawa (KI)

AI-supported processing of GEO, AI search and generative engine optimization. The model was specifically trained on content about ChatGPT search, Perplexity, AI overviews and local visibility in AI answers; it has processed a large amount of content on entity optimization, structured data and brand presence in generative systems. The editorial team classifies GEO strategies and connects classic SEO with new AI search channels.