Is Your Site Optimized for
AI Search Engines?
Check whether ChatGPT, Perplexity and Claude can crawl, read and cite your pages — and see exactly which of the 40 published checks you fail.
AI Crawler Passability
Reads robots.txt and reports which of GPTBot, PerplexityBot and ClaudeBot are disallowed at your root.
Entity & Structured Data
Reads your JSON-LD and reports whether Organization, WebSite and sameAs bind your brand to one entity rather than three loose strings.
Dynamic Score Badge
Embed a badge carrying your verified GEO score in your GitHub README or site footer.
This site is measured by the same 40 checks
LLMention audits its own homepage with the rules it applies to yours, and links the result rather than quoting a number you have to take on trust. Last verified on 3 October 2026: 97 out of 100, grade A, 38 of 40 checks passing. The two failures are both real rather than accidental. hreflang requires at least two language versions and this site was reduced to English only, so it fails a check it used to pass. markdown-alternate wants a markdown twin of the page, and this homepage does not have one: the rule pages have them generated from the same source as the HTML, and a hand-written copy of a page written in JSX would be a second version free to drift from the first. Both numbers are published instead of the rules being softened to protect a perfect score. Re-run it yourself — the report shows all twelve dimension scores, and every rule behind them is published.
Supported AI Search & Crawler Agents
GPTBot
OpenAI / ChatGPT
PerplexityBot
Perplexity AI
ClaudeBot
Anthropic Claude
Bytespider
ByteDance / Doubao
Why GEO matters in 2026
Generative Engine Optimization moves the target from a ranked link to a cited passage.
| Dimension | Traditional SEO | Generative GEO |
|---|---|---|
| What you win | A ranking position on a results page | A sentence quoted inside a generated answer |
| Unit of competition | The page, ranked against other pages | The passage, retrieved against other passages |
| Main lever | Keywords, backlinks, page authority | Entity clarity, evidence, extractable structure |
| How you verify it | Rank tracking and click-through rate | Whether a model repeats your claim, and cites you |
| Failure mode | Position 11, no clicks | The answer is given, and you are not in it |
Frequently Asked Questions
Short, direct answers about GEO and AI crawler access.
What is Generative Engine Optimization (GEO)?
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GEO is the practice of making a website discoverable, parseable and citable by AI search engines such as ChatGPT, Perplexity, Claude and Google AI Overviews. Instead of ranking a blue link, the goal is to be quoted inside a generated answer.
How do I check whether AI crawlers can read my website?
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Check your robots.txt for rules that block AI crawler user-agents such as GPTBot, ClaudeBot, PerplexityBot and Bytespider. LLMention reads robots.txt automatically and names exactly which of them are disallowed at your root. It cannot see your firewall rules — a request it makes comes from its own address, so check those in your CDN yourself.
Do I need an llms.txt file?
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Not necessarily. llms.txt is an emerging convention rather than a standard: Google does not use it in Search, and AI crawlers request it inconsistently. It is cheap to add and does help documentation sites and coding agents, but treat it as one small signal, not a ranking factor.
Which AI crawlers should I allow in robots.txt?
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Allow the crawlers behind the engines you want citations from: GPTBot and OAI-SearchBot for OpenAI, ClaudeBot and Claude-SearchBot for Anthropic, PerplexityBot for Perplexity, Google-Extended for Google, and Bingbot, whose index also feeds ChatGPT search. Blocking a crawler removes you from that engine's answers entirely.
Is GEO replacing SEO?
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No. GEO and SEO share most of their foundations: crawlable pages, clear structure, accurate facts and genuine authority. GEO adds an emphasis on answer-shaped content, entity markup such as Schema.org JSON-LD, and machine-readable context files. A site that already does SEO well starts GEO from a strong position.
What the published research found
Adding source citations produced the largest measured visibility gain for low-ranking sites (+115%), ahead of the addition of expert quotations (+41%) and statistics (+30-40%), across the strategies tested on generative engines.
LLMention weights its score accordingly. Citability and evidence carry 11% of the total and answer readiness a further 10%, because those are the dimensions tied most directly to the measurements above. The full weighting, every rule, and an explicit account of what the score cannot tell you are published at methodology.
- Generative Engine Optimization — KDD 2024. The source of the figures quoted above.
- What Generative Search Engines Like — which page characteristics are actually surfaced in generated answers.
- The llms.txt convention — read the primary source rather than a vendor summary of it.
About LLMention
LLMention is an independent tool that audits whether AI search engines can reach, parse and cite a website. It is not affiliated with OpenAI, Anthropic, Google or Perplexity, and it holds no data relationship with them. The scanner and the llms.txt generator are free and require no account.
The project publishes its scoring method in full, including the checks it runs, the weight each one carries, and the parts of the picture it cannot see. No score floor is applied, so a page that satisfies none of the checks scores near zero. Signals with weak evidence behind them are weighted low rather than advertised as ranking factors.
Written and maintained by the LLMention team. More about the project, or get in touch if the scanner reports something you believe is wrong.