Free AI Visibility Checker

See whether AI can recommend your business

AI assistants now answer questions before people reach your site. Get a 0–100 score on the signals that decide whether ChatGPT and Gemini can find and cite you.

  • Scan the signals

    We read your homepage, robots.txt, llms.txt (an AI summary file), and sitemap: the first things AI engines check.

  • Get your score in seconds

    A 0–100 AI-readiness score plus the exact gaps that keep AI from recommending you over a competitor.

  • Only public signals

    We read what any visitor can see. No logins, no guesswork. Just what AI engines actually parse.

We analyze public signals on your site only. By submitting you agree to our Privacy Policy.

What the checker looks at

Nine signals decide whether an AI engine can find, trust, and quote you.

An AI assistant cannot recommend a page it could not fetch, could not parse, or could not attribute to a real company. The score groups those requirements into nine checks, and every one of them is something you can fix yourself. Here is what each group means and why it changes whether you get named in an answer.

01

Crawler access comes first

We read your robots.txt and check it against the user-agents behind ChatGPT, Gemini, Perplexity and Claude. If GPTBot or OAI-SearchBot is disallowed, nothing else on this list matters, because the engine never sees the page it would have cited. This is the single most common reason a well-written site is absent from AI answers.

02

Structured data tells the engine what you are

JSON-LD schema names your entities: that you are an Organization, that this is a Service, that these are FAQs with real answers. Without it an engine has to infer your business from prose, and inference is where it gets your name, your location or your offering wrong. We check that the graph exists, parses, and describes the page it sits on.

03

llms.txt gives the model a briefing

It is a plain-text file at your domain root that summarizes what you do, what you sell, and which pages matter. AI crawlers fetch it at query time, so it is the closest thing to handing a model your positioning in your own words. We check whether it exists and whether it is reachable where the convention expects it.

04

Page structure decides what can be quoted

Assistants lift passages, not pages. That means a title and meta description that state plainly who you are, a heading structure that maps to real questions, and answers written so a single passage stands on its own without the paragraph before it. We check the title length, the meta description, the heading hierarchy and the canonical.

05

Entity signals prove the company is real

Engines cross-check a business against the wider web before they put its name in an answer. A populated sameAs array, a consistent name, address and phone, an Open Graph card and a working XML sitemap all feed that check. Sites fail here quietly, because none of it looks broken to a human visitor.

What to do with your score

  • Below 40: fix access first

    Something structural is blocking you. Work through crawler access, then the sitemap and canonical, before touching any copy. Rewriting pages an engine cannot fetch is wasted effort.

  • 40 to 70: the foundation is missing

    The site is reachable but not legible. Add the schema graph and the llms.txt, then rewrite your highest-intent pages into passages an assistant can lift whole.

  • Above 70: compete on evidence

    The technical base is there, so the gap is authority and coverage. Publish the answers your buyers actually search for, and track how often each engine names you month over month.

Keep going

AI Visibility Checker:
frequently asked questions

  • What is AI visibility and why does it matter?

    AI visibility is how easily generative engines (ChatGPT, Gemini, Perplexity) can find, understand, and recommend your business. As people ask AI instead of searching, businesses that AI cannot parse simply do not get mentioned, and the recommendation goes to a competitor.

  • How does this checker work?

    You enter your website URL and we fetch your homepage and key files: robots.txt, llms.txt (an AI summary file), and sitemap. We score the concrete AI-readiness signals AI engines rely on, such as structured data, crawler access, and semantic structure, then return a 0–100 score with the specific gaps. We do not query the AI models themselves.

  • What is a good AI visibility score?

    Most established sites score between 10 and 35. Above 65 means a strong AI presence, typically with clean structured data, open AI-crawler access, and rich entity signals. Below 35 means AI engines struggle to find or trust you, and competitors are likely winning those queries.

  • Can W2B fix my score?

    Yes. We work in GEO (generative engine optimization: getting cited in AI answers) and AEO (answer engine optimization). We engineer your schema, entity authority, llms.txt, and content so AI systems recommend you. Send the form and a co-founder replies within 24 hours with an action plan.