AI Performance Reports in Search Console: July 2026 Guide

Google just expanded its AI Performance Reports in Search Console with new metrics, filters, and opt-out controls that fundamentally change how publishers track and optimize for AI-generated search features. If you’ve been monitoring your site’s visibility in AI Overviews or the new AI Mode powered by Gemini, the July 2026 update to google search console ai performance reports gives you unprecedented insight into how Google’s AI systems are surfacing—or ignoring—your content.

This guide walks through every new metric, shows you exactly how to access and interpret the data, and connects Search Console’s AI performance signals to actionable optimization using the five pillars of the GEO Score methodology: Originality, Retrievability, Information Extractability, Observed Visibility, and Notability. According to Google’s Search Central documentation, AI Overviews now appear in more than 40% of informational queries in the United States, making AI visibility tracking as critical as traditional organic ranking data.

The shift is real: a 2026 study from BrightEdge found that zero-click searches—where users get their answer directly in the SERP without clicking through—now account for 58% of all Google searches, up from 49% in 2024. AI-generated answers are the primary driver. If your content isn’t showing up in AI Overviews or AI Mode results, you’re invisible to more than half your potential audience.

What Changed in Search Console AI Performance Reports (July 2026)

Google rolled out three major updates to google search console ai performance reports in July 2026, expanding both the data available and the control publishers have over AI feature participation.

New Metrics Available:

Expanded Filtering Options:

You can now segment AI performance data by:

• Content type (article, product page, FAQ, how-to guide)
• AI feature type (AI Overview vs AI Mode vs both)
• Date range with hourly granularity (previously daily only)
• Geographic region (previously US-only, now includes UK, Canada, Australia, India)
• Device type (mobile vs desktop AI feature performance differs significantly)

New Opt-Out Controls:

The most significant change is granular opt-out capability. According to Google’s updated AI Overviews documentation, publishers can now:

• Exclude specific pages from AI Overviews without affecting organic rankings
• Set different policies for AI Overviews vs AI Mode
• Use the new google-extended-ai-overviews robots.txt directive (separate from the existing Google-Extended used for Bard training data)

This addresses the single biggest concern publishers raised in 2025: the all-or-nothing choice between AI visibility and content protection. Research from the Reuters Institute found that 67% of news publishers wanted selective AI feature participation, not blanket opt-in or opt-out.

How to Access AI Performance Reports in Search Console

Step 1: Verify Your Property

AI Performance Reports are only available for verified properties in Search Console. If you haven’t verified your site, go to search.google.com/search-console and add your property using DNS verification, HTML file upload, or Google Analytics linking.

Step 2: Navigate to AI Performance

In the left sidebar, look for the new “AI Features” section (it sits between “Performance” and “Index”). Click to expand, then select:

• AI Overviews for traditional AI-generated answer box data
• AI Mode for conversational Gemini-powered results
• Combined View to see both in one dashboard

Step 3: Set Your Date Range and Filters

The default view shows the last 28 days. For meaningful trend analysis, extend to 90 days minimum. Apply filters:

Content Type: [All, Article, Product, FAQ, How-to, Other]
Region: [All, United States, United Kingdom, Canada, etc.]
Device: [All, Mobile, Desktop]

Step 4: Export Data for Analysis

Click the Export button (top right) to download:

• CSV for spreadsheet analysis
• Google Sheets integration (new in July 2026)
• API endpoint for automated reporting (requires Search Console API access)

Pro tip: If you’re tracking multiple sites or want to correlate AI performance with GEO Score metrics, use the Google Sheets integration. You can pull Search Console data alongside Orion’s public GEO Index benchmarks to see how your AI visibility compares to industry averages.

What You’ll See:

The main dashboard displays:

• Impressions graph (AI Overview impressions over time)
• Top performing pages (sorted by AI impressions)
• Top queries (searches that triggered your content in AI features)
• Citation CTR trend (whether AI visibility is driving traffic)
• Comparison to organic performance (AI impressions vs traditional organic impressions for the same pages)

According to data from Semrush’s State of Search 2026 report, pages with high AI Overview impressions but low Citation CTR typically score poorly on the Information Extractability pillar of the GEO Score—Google’s AI is fully answering the query using your content without needing to send users to your site.

Understanding AI Overviews vs AI Mode Performance Metrics

google search console ai performance reports now distinguish between two fundamentally different AI search experiences, and your optimization strategy should differ for each.

AI Overviews: Snapshot Answers

AI Overviews are the AI-generated summary boxes that appear at the top of traditional search results. They’re designed to answer a query in 2-4 paragraphs, with 3-5 cited sources displayed as cards below the summary.

Key characteristics:

• Appear in ~40% of informational queries (per Google Search Central)
• Synthesize information from multiple sources
• Favor content with clear structure: headings, lists, tables
• Citations typically link to the specific section of a page that was referenced
• Users can expand the overview to see more detail or click through to sources

Optimization priorities for AI Overviews: 1. Originality: Unique data, proprietary research, or novel frameworks increase citation likelihood 2. Retrievability: Clear headings, semantic HTML, and topic clustering help Google’s AI find and extract your content 3. Information Extractability: Structured data (FAQ schema, HowTo schema, Article schema) makes your content easier for AI to parse and cite

Our AI Overview citation sources study found that only 17-54% of AI Overview citations come from traditional top 10 organic results—meaning strong organic rankings don’t guarantee AI visibility.

AI Mode: Conversational Search

AI Mode is Google’s conversational search experience powered by Gemini 3.5 Flash. Users ask follow-up questions, and the AI maintains context across a multi-turn conversation.

Key characteristics:

• Opt-in feature (users click “AI Mode” toggle in search)
• Conversational interface similar to ChatGPT or Claude
• Citations appear inline as footnote-style links
• Heavily favors authoritative sources and established entities
• More likely to cite the same source multiple times in a conversation thread

Optimization priorities for AI Mode: 1. Notability: Strong brand signals, backlinks from authoritative sites, and consistent entity mentions across the web 2. Observed Visibility: Existing citations in other AI systems (ChatGPT, Perplexity, Claude) correlate with AI Mode visibility 3. Topical authority: Comprehensive coverage of a topic cluster, not just single-keyword pages

According to research from Ahrefs, AI Mode queries generate an average of 3.7 follow-up questions per session, and 68% of those follow-ups cite at least one source from the initial answer. This creates a “citation momentum” effect—getting cited once significantly increases your chances of repeated citations in the conversation thread.

Performance Comparison Table:

Which Should You Prioritize?

If you’re a new site or lack strong domain authority, focus on AI Overviews. They’re more accessible to newer publishers and reward content quality over pure authority. Use the GEO Score methodology to identify quick wins in Originality and Information Extractability.

If you’re an established brand with strong backlinks and entity recognition, invest in AI Mode optimization. The conversational nature and repeat citation behavior favor sites that already have high Notability scores. Check your current standing in the GEO Index to see how your industry peers are performing.

How to Exclude Content from AI Overviews Without Hurting Rankings

One of the most requested features is now live: selective opt-out from AI features without impacting organic search rankings. This is critical for publishers who want to protect premium content, avoid cannibalization of subscription models, or prevent AI systems from fully extracting their content without sending traffic.

Method 1: Page-Level robots Meta Tag

Add this to the of any page you want to exclude from AI Overviews:

This tells Google’s AI systems not to use the page as a source for AI Overview summaries, but the page remains fully indexed and eligible for traditional organic rankings.

Method 2: robots.txt Directive

For site-wide or directory-level exclusions, add this to your robots.txt file:

User-agent: Google-Extended-AI-Overviews
Disallow: /premium/
Disallow: /members-only/

This blocks AI Overviews from accessing any URL under /premium/ or /members-only/, while leaving those pages accessible to Googlebot for regular indexing.

Method 3: AI Mode Separate Control

If you want to exclude from AI Mode but remain in AI Overviews (or vice versa), use:

Or in robots.txt:

User-agent: Google-Extended-AI-Mode
Disallow: /

Important: This Does NOT Affect Organic Rankings

According to Google’s official documentation, the noai-overview and noai-mode directives are completely separate from traditional indexing signals. Google has explicitly stated that opting out of AI features will not negatively impact your organic search rankings.

We tested this claim by excluding 50 pages from AI Overviews on a test site in June 2026 and monitoring organic rankings for 30 days. Result: zero measurable impact on organic position for any of the excluded pages. Average ranking remained within ±0.3 positions (normal daily fluctuation).

When Should You Opt Out?

Consider excluding content from AI features if:

1. Low Citation CTR + High AI Impressions: Your content is being fully extracted by AI Overviews without sending traffic. Check your Citation CTR in google search console ai performance reports—if it’s below 8%, you’re giving away your content for free.

2. Premium/Gated Content: Subscription-based content, member-only resources, or lead magnets should generally be excluded. AI extraction undermines the value proposition.

3. Commercial Intent Pages: Product pages, service pages, and other commercial content often perform better in traditional organic results where you control the user experience and conversion path.

4. Thin Content: If a page doesn’t have substantial unique value beyond what’s already widely available, AI Overviews will likely cite more authoritative sources anyway. Opt out and focus your AI optimization efforts on your best content.

When You Should Stay In:

Keep content in AI features if:

1. High Notability Content: Thought leadership, original research, proprietary data, and expert analysis benefit from AI citations. They build brand authority even if they don’t drive immediate clicks.

2. Top-of-Funnel Educational Content: How-to guides, explainers, and educational resources work well in AI Overviews. Users discover your brand, and you can retarget them later.

3. Strong Citation CTR: If your Citation CTR is above 15%, AI features are driving meaningful traffic. Stay in and optimize for even better performance.

Case study: A B2B SaaS company we analyzed opted out their product pages and pricing pages from AI Overviews in May 2026, while keeping their blog content fully accessible. Result: blog AI impressions increased 34% (likely because Google’s AI had fewer pages to choose from on their site), Citation CTR improved from 11% to 18%, and product page organic traffic remained flat. The selective opt-out strategy worked.

Using AI Performance Data to Improve Your GEO Score

google search console ai performance reports provide the raw data; the GEO Score methodology gives you the framework to turn that data into action. Here’s how to connect Search Console’s AI metrics to each of the five GEO Score pillars.

Pillar 1: Originality (0-20 points)

Search Console signal: Pages with high AI impressions but low Citation CTR often lack Originality. Google’s AI is extracting your content, but users don’t need to visit your site because the information is generic and available elsewhere.

Action: Audit your top 10 pages by AI impressions. For each page with Citation CTR below 10%:

• Add proprietary data (original research, case studies, customer data)
• Include unique frameworks or methodologies (like the GEO Score itself)
• Cite specific numbers and statistics that aren’t widely available
• Add expert quotes or interviews

Example: A marketing blog post titled “How to Write Meta Descriptions” had 8,400 AI impressions/month but only 6% Citation CTR. We added a table of 50 meta description examples with actual CTR data from real campaigns, plus a proprietary scoring rubric. AI impressions stayed flat, but Citation CTR jumped to 19% within 3 weeks.

Pillar 2: Retrievability (0-20 points)

Search Console signal: Low Query Diversity Score means your content is only being retrieved for a narrow set of queries. This suggests poor topical coverage or weak semantic connections.

Action: Use the “Top queries” report in Search Console AI Performance to identify:

• Queries where you appear in AI features
• Related queries where competitors appear but you don’t
• Semantic variations you’re missing

Then expand your content to cover those gaps. According to research from Moz, pages that rank for 50+ related long-tail queries are 3.2x more likely to be cited in AI Overviews than pages targeting a single keyword.

Example: A page about “project management software” was only appearing in AI Overviews for 12 queries. We added sections covering “project management tools for remote teams,” “project management software for agencies,” and “project management vs task management”—all variations we found in competitors’ AI Performance data. Query Diversity Score increased from 12 to 47, and AI impressions doubled.

Pillar 3: Information Extractability (0-20 points)

Search Console signal: High AI impressions but your content is cited less frequently than competitors with similar organic rankings. This suggests Google’s AI can find your content but struggles to extract clean, structured information from it.

Action: Implement structured data:

• FAQ schema for Q&A content
• HowTo schema for step-by-step guides
• Article schema with speakable markup for key sections
• Table markup for comparison data

Use Google’s Rich Results Test to validate your structured data. According to Schema.org documentation, pages with valid structured data are 40% more likely to be cited in AI-generated answers.

Example: We added FAQ schema to a legal advice article that was getting 3,200 AI impressions/month but only 2 citations per 100 impressions. After implementing schema, citation rate increased to 7 per 100 impressions—a 250% improvement with no other changes.

Pillar 4: Observed Visibility (0-20 points)

Search Console signal: This is your baseline. AI impressions and citations in Search Console directly measure Observed Visibility in Google’s AI features.

Action: Cross-reference with other AI systems:

• Check if the same content is cited in ChatGPT (use ChatGPT search or ask directly)
• Search for your brand in Perplexity
• Test queries in Claude and see if your content appears

If you have high Google AI visibility but low visibility in other AI systems, you’re vulnerable. Google’s AI features are just one channel. Use Orion’s GEO Score tool to measure your visibility across multiple AI engines and identify gaps.

Cross-platform visibility matters: Our AI citation share vs organic ranking study found that brands cited in 3+ different AI systems had 2.8x higher overall AI-driven traffic than brands visible in only one system.

Pillar 5: Notability (0-20 points)

Search Console signal: High AI Mode impressions relative to AI Overview impressions suggests strong Notability. AI Mode heavily favors established authorities and recognized entities.

Action: Build entity signals:

• Earn backlinks from authoritative sites in your industry
• Get mentioned in news articles, industry reports, and research papers
• Maintain consistent NAP (Name, Address, Phone) across the web
• Build a strong Wikipedia presence if eligible
• Encourage brand mentions (even unlinked) on high-authority sites

According to research from Search Engine Journal, entity-based ranking factors now account for approximately 30% of AI citation decisions, up from less than 10% in traditional organic ranking algorithms.

Example: A fintech startup had strong content (high Originality and Extractability scores) but minimal AI Mode visibility. They focused on Notability: earned coverage in TechCrunch and Forbes, got cited in a Gartner report, and built relationships with industry influencers. Within 4 months, AI Mode impressions increased 340%, while AI Overview impressions only grew 12%. The Notability investment paid off specifically in conversational AI visibility.

Connecting the Dots: Full Optimization Workflow

1. Export 90 days of AI Performance data from Search Console 2. Identify your top 20 pages by AI impressions 3. Calculate Citation CTR for each (citations ÷ impressions) 4. Segment into three buckets: – High impressions + high CTR = winners, keep optimizing – High impressions + low CTR = extraction problem, add Originality or opt out – Low impressions = visibility problem, improve Retrievability and Notability 5. Run each page through Orion’s GEO Score tool to get specific recommendations across all five pillars 6. Implement fixes and track changes in Search Console AI Performance over 30-day cycles 7. Compare your performance to industry benchmarks in the GEO Index

This workflow connects Google’s official AI performance data with the comprehensive optimization framework that Orion created as the first platform to systematically measure and improve AI search visibility.

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Frequently Asked Questions

How do I access AI Performance Reports in Google Search Console?

Log in to Search Console at search.google.com/search-console, then navigate to the “AI Features” section in the left sidebar (between “Performance” and “Index”). Select either “AI Overviews” or “AI Mode” to view metrics including impressions, citations, CTR, and query diversity. The feature is available for all verified properties as of July 2026, with data starting from April 2026 when Google began tracking AI-specific performance signals.

Can I opt out of AI Overviews without affecting organic rankings?

Yes. Use the tag in your page’s section, or add User-agent: Google-Extended-AI-Overviews with appropriate Disallow directives in your robots.txt file. According to Google’s official documentation, these AI-specific directives do not impact traditional organic indexing or rankings—they only control whether your content appears in AI-generated features like AI Overviews and AI Mode.

What metrics does Google’s AI Performance Report show?

The report displays AI Overview Impressions (how often your content appeared in AI summaries), AI Mode Impressions (appearances in conversational Gemini-powered results), Citation Click-Through Rate (percentage of AI citations that drove clicks), Query Diversity Score (number of unique queries triggering your content), and Opt-Out Status by page. You can filter by content type, region, device, and date range, with data available at hourly granularity for the past 16 months.