AI Search Readiness

Can AI engines find and cite your business?

A growing share of buyers research through ChatGPT, Perplexity and Gemini rather than a results page. This tool checks whether those systems are allowed to read your site — and whether what they find is structured enough to quote.

We fetch your robots.txt, llms.txt and homepage HTML. Nothing is stored.

This tool fetches your robots.txt, checks for llms.txt and llms-full.txt, retrieves your homepage HTML, and inspects the actual JSON-LD structured data, heading hierarchy and metadata present in it. Every result reflects something genuinely found or genuinely absent — no score is inferred.

The guide behind this tool llms.txt: The Complete Implementation Guide for 2026 What llms.txt is, exactly how to write one, and what it does and does not do. A practical implementation guide with a working template and honest limitations. Read the guide · 7 min read →

What this tool checks

The technical prerequisites for being read and cited by ChatGPT, Perplexity, Claude and Gemini — the parts you control.

  • AI crawler permissions

    Whether GPTBot, ClaudeBot, PerplexityBot, Google-Extended and others are allowed by your robots.txt. If they are blocked, nothing else matters.

  • llms.txt

    Whether the file exists, how large it is, and a preview of what it says.

  • Structured data

    Whether a connected Schema.org graph gives models unambiguous facts instead of inference.

  • Server-rendered content

    How many words exist in the HTML before JavaScript runs. Many AI crawlers do not execute scripts.

  • Passage structure

    Heading hierarchy, because models retrieve sections rather than pages.

  • robots.txt and sitemap

    Whether the file exists and declares a sitemap.

How to read your result

The order here is strict, because each item depends on the one above it.

Blocked crawlers make everything else irrelevant. If GPTBot cannot fetch your pages, no amount of structured data will get you cited. This is often an accident — a blanket rule inherited from an old template.

Content that only appears after JavaScript is the next blocker, and the one site owners never notice, because it looks perfect in a browser. Test it yourself: curl -s https://yoursite.com/ | grep "a sentence from your page". If that returns nothing, a crawler that does not run scripts sees an empty shell.

Missing structured data means a model has to infer who you are from prose. It will, and it will sometimes be wrong.

llms.txt is last for a reason. It is genuinely useful and takes an afternoon, but it summarises a site — so it is worth doing once the four items above are true, not before.

Be sceptical of any tool claiming to measure your "ranking in ChatGPT." There is no position, no stable ordering, and no public data to compute one from. What this tool measures is the set of prerequisites you actually control.

What makes a site citable by AI

Crawler access

GPTBot, ClaudeBot, PerplexityBot, Google-Extended and others respect robots.txt. Many sites block them without realising, sometimes through a blanket rule inherited from an old configuration. If they cannot crawl you, you cannot be cited.

llms.txt

An emerging convention: a plain-text file at your root that describes your business, services and key facts in a clean, JavaScript-free format. It removes ambiguity for models that would otherwise have to infer everything from marketing copy. Adoption is still low, which makes it a cheap advantage.

Structured data

A connected Schema.org graph — Organization, Service, Article, FAQ — gives models unambiguous facts about what you do, where you operate and what you offer. Isolated, disconnected blocks are far less useful than a properly linked graph.

Extractable content structure

Models retrieve passages, not pages. Content with clear headings and a direct answer near the start of each section is far more likely to be quoted than a long unbroken argument. Server-rendered HTML matters too: content that only appears after JavaScript runs is frequently missed.

Entity consistency

Your company name, addresses and service descriptions should be identical everywhere they appear. Contradictions across your site and third-party directories degrade the model's confidence in what it knows about you.

Frequently asked questions

What is llms.txt?

A proposed convention — a Markdown file at your domain root that gives AI systems a clean, structured summary of your organisation, services and key pages without them having to parse marketing pages and JavaScript. It is not yet an official standard, but it is trivial to implement and costs nothing to have in place.

Should I let AI crawlers access my site?

For most businesses selling a product or service, yes. Being cited in an AI answer is now a discovery channel. The main exception is publishers whose business model depends on people visiting to read the content itself — that is a genuine strategic trade-off worth thinking through.

Does this tool ask ChatGPT about my company?

No, and be sceptical of tools claiming to. It checks the technical prerequisites: whether crawlers are permitted, whether llms.txt exists, whether structured data is present and valid, and whether your content is extractable. Those are the things you control.

How do I improve a poor result?

In order of impact: unblock AI crawlers in robots.txt, ensure your content is server-rendered, add a connected structured data graph, publish llms.txt, and restructure key pages so each section opens with a direct answer.

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