Google AI Overviews: How to Get Into Google's AI Answers

Google AI Overviews (formerly Search Generative Experience) appears for approximately 15–20% of Google searches on the Czech market, and the share keeps growing (source: estimates based on Search Console impressions, NocarStudio analysis of client accounts, Q1 2026). For queries with an AI Overview, the average click-through rate on organic results drops by 25–34% (source: BrightEdge, AI Search Impact Report, 2025). If you're not in the AI summary, you're losing visibility even where you rank first organically.

The good news is that optimization for AI Overviews and for classic SEO largely overlap. But there are key differences worth knowing.

How Google AI Overviews selects its sources

AI Overviews most often cites sources from the first page of results — but not necessarily from the first position. BrightEdge research (2025) showed that approximately 44% of citations in AI Overviews come from positions 2–10 of the organic results (source: BrightEdge, Generative AI Content Performance Study, 2025).

Key selection factors:

• Factual accuracy: Google prefers content that answers the query precisely, without ambiguity
• Structure: H2/H3 headings, bulleted lists, tables
• Authoritative source: A combination of domain authority, E-E-A-T signals, and structured data
• Intent relevance: Content must precisely match the query intent, not just contain the keywords

How this differs from classic SEO optimization

In classic SEO you optimize for ranking — the goal is position 1. In AI Overviews you optimize for citability — the goal is to be a precise, authoritative, and well-structured source.

Specific differences:

Our observation from client work: companies with strong organic rankings but generic, unstructured content saw a sharper visibility drop when AI Overviews rolled out in the Czech Republic than smaller companies with precisely structured content. Content format proved to be the decisive factor — not just domain authority.

5 concrete steps toward AI Overviews visibility

1. Identify AI Overview queries in your industry

Not every query triggers an AI Overview. They typically appear for:

• Informational queries: "what is X", "how does Y work"
• Comparison queries: "difference between A and B"
• How-to queries: "how to do X"
• Definitional queries: "what does [term] mean"

Search the 20 most common queries in your industry on Google and record which ones show an AI Overview. These are your primary targets. For queries where no AI Overview appears, classic SEO optimization remains the dominant strategy.

2. Structure content as a direct answer

AI Overviews extract specific passages. Every section of your content should open with a direct answer — not a lengthy introduction.

Wrong: "There is a whole range of factors to consider when choosing a CRM system for your company, and every company has different needs..."

Right: "Choose a CRM system for a small company (up to 50 employees) based on three criteria: email integration, a mobile app, and a price under 500 CZK (~€20) per user per month."

The second version is extractable. AI can cite it as a direct answer. Every paragraph should make sense even if AI pulls it out of the context of the full page.

3. Implement relevant schema markup

The most important types for AI Overviews:

• FAQPage schema: For question-and-answer content — see our guide to schema markup for GEO
• HowTo schema: For guides and step-by-step instructions
• Article schema: With datePublished, author, publisher
• Organization schema: For company information

Google explicitly states that structured data helps AI systems understand content better and increases the likelihood of appearing in results.

4. Build E-E-A-T signals

Google AI Overviews strongly prefers sources with demonstrable E-E-A-T signals:

• Experience: An author with relevant practical experience (bio, years of experience, specific projects)
• Expertise: Professional certifications, publications, references — more in the article E-E-A-T for GEO
• Authoritativeness: Citations from other authorities, media mentions
• Trustworthiness: Contact information, transparency, up-to-date content

Every article should have a visible author with a bio. Every key claim should have a citation or a source.

5. Optimize for Featured Snippets at the same time

Research shows a high overlap: approximately 76–82% of sources cited in AI Overviews had previously appeared in Featured Snippets (source: Semrush, State of Search 2025). Optimizing for Featured Snippets — direct answers in paragraph, list, or table format — carries results straight over to AI Overviews.

Formats that work for both:

• A definition in the first paragraph of a section
• Comparison tables
• Numbered lists of steps
• Bulleted lists of features or criteria

Optimization examples from practice

We work with a B2B SaaS client whose key query was "how to integrate a CRM with an ERP". The original page had strong domain authority, but the content opened with a generic introduction about digital transformation. The AI Overview ignored it.

After three changes — restructuring to a direct answer in the first paragraph, adding a comparison table, and implementing HowTo schema — the page started appearing regularly in the AI Overview for that query within 6 weeks. Organic traffic to the page grew by 22%, along with a new category of visits from AI-referred sources.

How to track your AI Overviews visibility

Google Search Console does not report AI Overviews data separately. Practical monitoring methods:

1. Manual testing: Every week, enter 10 key queries and record whether an AI Overview appears and whether it cites your content. Log the results in a spreadsheet with the date.
2. CTR comparison: In Search Console, watch CTR on pages with high impressions — a CTR drop without a drop in impressions can signal an AI Overview siphoning off clicks.
3. AI-referred traffic: In Google Analytics, track google.com/search referrals — gradually becoming more accessible as GA4 reporting expands.
4. Third-party tools: BrightEdge, the Semrush AI Features report, Ahrefs AI Overview tracking.

Citation frequency in AI Overviews is not stable — Google continuously tests and updates it. Watch the trend, not individual numbers.

The most common mistakes that get you excluded from AI Overviews

Blocking Google-Extended in robots.txt: Google-Extended is the crawler for AI Overviews. If it's blocked, your pages are not a source. We explain how to configure robots.txt correctly for AI crawlers in a separate article.

Content without facts: Generic text without specific numbers, data, or examples has low extractability. AI has nothing to cite.

Outdated information: AI Overviews prefers fresh content. Articles older than 2 years without an update have a lower citation probability — add an "Updated" section with a date and fresh data.

Slow loading: Core Web Vitals (LCP under 2.5s) affect both organic ranking and availability for AI indexing.

Inconsistent information across pages: If different pages of your site state contradictory information, AI models prefer consistent sources — see entity recognition and consistency.

AI Overviews vs. other AI platforms

Google AI Overviews is one of the five main AI search channels we optimize for. It differs from ChatGPT, Gemini, and Perplexity in how it indexes and how frequently it refreshes data. You'll find a comparison of how the individual platforms approach source citation in the article ChatGPT vs Gemini vs Perplexity.

For Google AI Overviews, the connection to Google Business Profile and Schema.org structured data is stronger than on other platforms — Google has direct access to its own entity graph.

Frequently asked questions

How do you get into Google AI Overviews? Structure your content as a direct answer to a specific query (40–60 words right under the heading), implement relevant schema markup, build E-E-A-T signals, and optimize for Featured Snippets at the same time — Google frequently draws on them for AI Overviews.

Do AI Overviews reduce website traffic? Yes — for queries with an AI overview, the share of zero-click searches grows. However, websites cited directly in the AI Overview actually see higher CTR: the uncited lose, the sources of the answer win.

Is optimizing for AI Overviews different from optimizing for ChatGPT? The foundation is the same (citable content, entities, schema), but AI Overviews builds on the Google index and entity graph — it responds more strongly to Google Business Profile, structured data, and classic SEO signals. ChatGPT draws on its own crawl and the Bing index.

Do AI Overviews work in Czech? Yes, they run in Czech and the impact is measurable — some Czech e-commerce stores reported a 30–40% drop in organic traffic after their rollout. All the more reason to be on the side of the cited sources.

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Not sure how your pages score in terms of AI Overviews citability? As part of our GEO Audit, we evaluate every key page and deliver specific recommendations for Google, ChatGPT, and Perplexity.

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About the author: Marek Nocar is the founder of NocarStudio, the first GEO studio in the Czech Republic. He helps B2B companies gain visibility in AI search engines — from technical implementation to content strategy. → More about Marek