AI Visibility Checker
Enter a domain and get a 0–100 AI-visibility score in seconds — crawler access, llms.txt, schema, metadata and answer-shaped copy, each with the exact fix.
Quick answer
This checker fetches public site resources and evaluates eleven documented technical checks, producing a 0–100 diagnostic score. The score is this tool's assessment, not a published ranking formula used by ChatGPT, Perplexity or Gemini, and it does not predict citations or traffic.
What AI visibility actually is
When someone asks ChatGPT or Perplexity for a recommendation, the engine assembles an answer from what it can read about you: whether its crawler is allowed in, whether your pages state plainly what you do, whether your entity is machine-verifiable, and whether a quotable answer sits near the top of the page. AI visibility is the sum of those signals — and almost all of them are technical, checkable, and fixable in an afternoon.
The eleven signals this checker audits
| Signal | Why answer engines weigh it | Weight |
|---|---|---|
| AI crawler access | A blocked GPTBot or PerplexityBot means zero citations from that engine, forever, no matter what else you fix. | 14% |
| Structured data (JSON-LD) | Organization and LocalBusiness markup give engines a verified entity to attach citations to. | 14% |
| llms.txt | The curated brief that tells models which pages to read first and how to describe you. | 12% |
| Title tag | The strongest single entity statement on a page — and what engines quote verbatim. | 10% |
| Answer-shaped copy | A 2–3 sentence plain-language opening with concrete numbers is the chunk engines lift. | 10% |
| Meta description | The fallback summary engines reuse when they paraphrase your link. | 8% |
| H1 heading | States what the page is in one machine-parsable line. | 8% |
| XML sitemap | Complete URL discovery for engines that crawl before they cite. | 8% |
| Open Graph tags | Reused when engines summarise or preview your link. | 6% |
How to track AI visibility over time
Re-run this checker after every meaningful change — it measures readiness, not results. For results, ask live models whether they name you with the AI Brand Mention Tracker, follow your answer position with the AI Rank Tracker, or run a ChatGPT-specific check with the ChatGPT Visibility Checker. Readiness first, mentions second — tracking a blocked site just measures the block.
What a good score looks like
- 90–100 (A): every major engine can read, verify and quote you. Keep files fresh as content changes.
- 75–89 (B): citable, but warnings are costing you ranking positions inside answers.
- 60–74 (C): engines can reach you but struggle to describe or trust you — schema and llms.txt usually missing.
- Below 60 (D/F): something is hard-blocked or missing. Fix the red checks first; nothing else moves the needle until you do.
From score to cited
The fixes this checker proposes are the same ones our full scanner ships as deploy-ready files: an AI-aware robots.txt, an llms.txt, and Organization JSON-LD. Generate, publish, and re-check — most sites move a full grade in one session.

What Google AI Overviews actually are
AI Overviews are AI-generated summaries that appear above traditional results for certain searches, synthesizing information from multiple web pages and linking out to the sources used. According to Google's own documentation, they're built using the same core web ranking systems as standard Search, with an additional layer that identifies the most relevant content and generates a synthesized response.
Step 1 — Confirm you're crawlable and indexable
Because AI Overviews draw from the standard index, every normal indexing prerequisite applies first: no accidental noindex tags, no robots.txt blocks on important sections, server-rendered content, and clean canonical signals. Google has also stated that Google-Extended controls whether your content can be used for Gemini and AI features training and some generative experiences, separate from standard Googlebot crawling for Search.
| Crawler | Purpose | Recommended setting |
|---|---|---|
| Googlebot | Standard crawling and indexing for Search, including AI Overviews | Allow |
| Google-Extended | Controls use of content for Gemini and certain AI features | Allow if you want to be eligible for AI features; block only if you're intentionally opting out |
| Googlebot-Image | Crawls images that AI Overviews can surface alongside text | Allow if you want image attribution in AI answers |
Audit your robots.txt and verify with a live fetch rather than assuming the file is correct — a CDN or firewall rule can silently block a crawler even when robots.txt allows it.
Step 2 — Write answer-first paragraphs under question headings
AI Overviews favor content that states a clear answer early and explicitly, the same instinct that drives featured snippets. Phrase headings as the actual questions people search, then answer them directly in the first sentence or two before adding supporting detail.
- Lead each section with a direct, self-contained answer — don't bury it after context or a brand story.
- Use specific numbers, dates and named entities rather than vague claims.
- Keep paragraphs short enough to be lifted and quoted whole.
- Match heading phrasing to real search queries, not internal jargon or navigation labels.
Step 3 — Support claims with structured data and clear sourcing
Structured data doesn't guarantee inclusion in an AI Overview, but it removes ambiguity about what a page is and who published it, which helps any system — classic ranking or generative summarization — attribute content correctly. Prioritize Organization, Article and FAQPage markup where it genuinely matches visible content, and keep authorship and date fields accurate.
- Mark up Organization details sitewide with accurate name and sameAs links.
- Add Article or BlogPosting schema with real datePublished and dateModified values.
- Use FAQPage schema only where the questions and answers are visibly present on the page.
- Validate every schema block in production — a type error can mean it's ignored entirely.
Step 4 — Measure your AI Overview appearances
Unlike most assistants, Google gives you a partial, official measurement path: Search Console's Generative AI performance report shows impressions for your site specifically within AI Overviews and AI Mode, including which pages got the most impressions, for sites with enough volume to qualify.
Pair that with manual spot checks: search your target queries yourself (ideally logged out, to avoid personalization) and record whether an AI Overview appears and whether you're cited within it. Combine both signals — Search Console data is retrospective and aggregated, while manual checks tell you what's happening on a specific query right now.
Common mistakes that keep pages out of AI Overviews
- Treating AI Overviews as a separate optimization target instead of a byproduct of strong standard SEO.
- Blocking Google-Extended without understanding it's distinct from blocking Googlebot for Search.
- Writing long introductions before the actual answer.
- Publishing thin or duplicate pages that dilute which version Google treats as canonical.
- Letting dates, prices or factual details go stale, which undermines trust signals for time-sensitive queries.
Practical steps
- 1Verify crawlability and indexability
Confirm Googlebot can fetch and index the page, and decide deliberately whether to allow Google-Extended for AI features eligibility.
- 2Rewrite headings as real search questions
Phrase each H2/H3 the way people search, and answer it directly in the opening sentence.
- 3Add accurate, parity-matched structured data
Mark up Organization, Article and FAQPage schema that matches the page's visible content exactly, then validate it.
- 4Keep factual details current
Update dates, prices and figures whenever they change, since AI Overviews weight freshness for time-sensitive queries.
- 5Monitor via Search Console and manual checks
Use the Generative AI performance report alongside logged-out manual searches on your target queries.
More questions answered
- Do I need separate content for Google AI Overviews versus regular SEO?
- No. AI Overviews use the same underlying web index and ranking systems as standard Search. The work is the same technical SEO and answer-first content quality that helps you rank normally; there's no separate optimization track.
- Does blocking Google-Extended affect my regular Google rankings?
- According to Google, Google-Extended controls use of content for Gemini and certain AI features independently of Googlebot crawling for Search and Discover, so blocking it shouldn't affect standard ranking. It may, however, make you ineligible for AI Overview inclusion and other generative features.
- Can I see which of my pages appear in AI Overviews?
- Partially. Search Console's Generative AI performance report shows aggregated impressions for AI Overviews and AI Mode once your site has enough volume to qualify. It won't show every individual query response the way a manual check can.
- Does structured data guarantee my page is used in an AI Overview?
- No. Structured data helps Google understand and attribute a page accurately but doesn't guarantee inclusion, which also depends on relevance, content quality, authority and the specific query.
- Are AI Overviews the same as featured snippets?
- They're related but distinct. Featured snippets pull a single excerpt from one source; AI Overviews synthesize a generated summary that can draw from and cite multiple sources at once.
Want the full picture?
OptimAIze checks structured data, content, crawler access and answer-readiness to help you investigate concrete issues. Technical improvements do not guarantee AI citations.
Run a full GEO + AEO scan on your siteFrequently asked questions
- What is an AI visibility checker?
- It audits the technical signals that decide whether ChatGPT, Perplexity, Gemini and Claude can read, trust and cite your site: AI crawler access in robots.txt, llms.txt, structured data, metadata, sitemap and answer-shaped copy — and turns them into one score you can improve.
- How is the AI visibility score calculated?
- Eleven weighted checks are fetched live from your domain. Crawler access and structured data carry the most weight; a hard block or a missing entity scores zero for that check. Pass earns the full weight, a warning earns partial credit, and the total is normalised to 0–100.
- How is this different from the brand mention tracker?
- The checker audits whether your site is readable and citable — the foundation. The AI Brand Mention Tracker and AI Rank Tracker ask live models whether you actually get mentioned today. Fix what the checker finds first; tracking before fixing just measures the same problem repeatedly.
- Does the check touch my pages or cost anything?
- No signup, no cost. The checker fetches your homepage, robots.txt, llms.txt, sitemap.xml and .well-known/ai-plugin.json exactly as an AI crawler would, and nothing is stored.
- What score should I aim for?
- Above 90. Below 75 you are leaving citation chances on the table; any single hard fail — a blocked GPTBot or missing structured data — can zero your visibility on an engine regardless of content quality.
Related free tools
Each one covers a different signal AI engines read before they cite a site.