AI Visibility Audit: See Where You Actually Stand in AI Search

A free, 16-factor readiness check for whether ChatGPT, Perplexity, Google AI Overviews, and every major AI crawler can actually find, understand, and cite your website — in under 60 seconds, no credit card, no sales call.

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What an AI Visibility Audit Actually Checks

An AI visibility audit is a structured check of whether AI systems like ChatGPT, Perplexity, and Google’s AI Overviews can find, understand, and cite your website. Pipe Flooders’ free AI visibility audit inspects 16 separate factors, split across two tiers. Seven are visible instantly, with no email required: structured data, content freshness, snippet eligibility, AI access files (robots.txt and llms.txt), schema validity, on-page SEO, and whether AI crawlers — GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot, and Google-Extended — can actually reach your pages. The remaining nine cover deeper signals: structured-data completeness, content depth, E-E-A-T signals, FAQ content quality, citations, entity consistency, content extractability, definition blocks, and named entities. Every factor rolls into one numeric score, with a plain-language summary of your two weakest points and one thing you’re already doing right. The tool is a native build, not a third-party embed, and every check runs against your live page in real time.

Some teams call this a GEO audit, some call it an AEO audit — Pipe Flooders’ free tool covers both under one AI visibility score, so you don’t need to run two separate checks to get the full picture.

Three of these factors sound similar but check different things: “Structured Data” checks whether schema markup exists on the page at all. “Schema Validity” checks whether the schema you have validates cleanly, with no errors — not just present, but correctly formed. “Structured-Data Completeness” (the gated one) checks whether your schema covers all the recommended types and properties for your content, not just the bare minimum needed to validate.

The 16 Factors, In Two Tiers

What Do the 7 Free Instant Factors Check?

• Structured Data — Whether your pages carry schema markup at all, so an AI system has a machine-readable way to understand what the page is about.
• Content Freshness — How recently a page was published or meaningfully updated, a signal AI systems weigh for time-sensitive answers.
• Snippet Eligibility — Whether content is structured to be pulled as a featured snippet or direct answer, not just ranked as a link.
• AI Access Files — Whether robots.txt and llms.txt exist and contain explicit rules for AI crawlers.
• Schema Validity — Whether existing schema markup validates cleanly against the schema.org spec, with no structural errors.
• On-Page SEO — Foundational basics — title tags, header structure, meta descriptions — that both search engines and AI systems parse.
• AI Crawler Access — Whether GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot, and Google-Extended can actually reach your pages, or are partially blocked.

What’s In the 9 Factors You Unlock By Email?

• Structured-Data Completeness — Whether your schema covers the full set of recommended types and properties, not just enough to pass validation.
• Content Depth — Whether a page covers its topic completely enough to function as a full answer on its own.
• E-E-A-T Signals — Experience, expertise, authoritativeness, and trustworthiness markers AI systems weigh when choosing what to cite.
• FAQ Content Quality — Whether FAQ sections answer real reader questions in clear pairs, rather than reading as sales copy in question form.
• Citations — Whether your content references credible external sources, and is referenced by credible sources in turn.
• Entity Consistency — Whether your company and product names are described the same way sitewide, rather than drifting between variants.
• Content Extractability — Whether individual passages can be lifted out of context and still read as a complete, standalone answer.
• Definition Blocks — Whether core terms are defined in direct language an AI system can quote as-is.
• Named Entities — How specifically your content names real people, companies, products, and places, versus defaulting to vague description.

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AI Visibility Audit vs. Traditional SEO Audit

A traditional SEO audit and an AI visibility audit measure different things, even when they’re looking at the same page.

The two overlap more than they conflict — content depth and clean schema genuinely help both. But a page can rank on page one for its target keyword and still score low on AI visibility, because ranking factors and citation factors aren’t the same list.

What a Strong AI Visibility Score Looks Like

A strong AI visibility score means AI crawlers can reach every page they need to, your structured data validates cleanly instead of just existing, and your key answers are written as standalone passages a model could lift and quote without extra editing. A weak score almost always traces back to a small, repeatable set of causes: a blocked AI crawler, schema that’s present but broken, FAQ content that reads like sales copy instead of real answers, or genuinely good information buried three paragraphs deep instead of stated up front. None of these are unusual — they’re the same handful of issues showing up on most sites that haven’t looked at this yet, which is exactly why checking is worth the sixty seconds it takes.

How Many B2B Buyers Are Already Researching With AI?

More than half of B2B software buyers already start their research with an AI chatbot instead of a search engine. G2’s 2026 AI Search Insight Report, a March 2026 survey of 1,076 B2B software buyers, found that 51% now begin research this way, and 71% use an AI chatbot somewhere in their research process, up from 60% a year earlier.

How often an AI-generated answer appears depends on query set, device, market, and tracker, so there is no single stable percentage that applies to every site. The reliable operational point is narrower: when an answer layer appears, it can change both visibility and click behaviour, which is why the audit records the live query environment instead of relying on a universal benchmark.

That answer-first shift can change what a top ranking is worth. Ahrefs analysed 300,000 informational keywords and reported that the presence of an AI Overview correlated with a 34.5% lower average click-through rate for the top-ranking page in its March 2025 comparison. That is a dataset-level correlation, not a forecast for every query or site, but it is enough reason to measure both rankings and the answer features shown around them.

How the Free AI Visibility Audit Works

1. Run your instant score. Enter your URL and get 7 of the 16 factors immediately — no email, no signup.
2. See what’s locked. The remaining 9 factors appear as locked cards, so you know exactly what’s being checked before you decide whether to see it.
3. Unlock the full report. One email address reveals all 16 factors, your full numeric score, and a plain-language summary of your two weakest points and one thing already working.

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Knowing your score is the diagnosis. Once you know what’s actually broken, fixing it is the next step — that’s a separate conversation, for teams who want it implemented rather than just measured.

Frequently Asked Questions