llms.txt Validator
Check whether your site publishes a valid llms.txt file with the sections AI systems expect — and what to add. Enter any URL and the llms.txt Validator emails you a clear report with the specific fixes to make.
What is the llms.txt Validator?
The llms.txt Validator checks whether your website serves a valid /llms.txt file and whether it contains the sections AI systems look for — a clear description, products or services, target audience, value proposition, and key links. You get a score and the exact llms.txt improvements by email.
What the llms.txt Validator checks
- Whether /llms.txt exists and is reachable at your domain root
- A clear company or product description AI can quote
- Products and services so AI can recommend you for the right queries
- Target audience and unique value proposition for intent matching
- Key URLs and contact details AI can cite
- Formatting AI parsers expect (Markdown headings and structure)
How it works
- 1
Enter your URL
We look for /llms.txt at your domain root — paste any page on the domain.
- 2
We validate the file
We check that it exists and contains the sections AI systems expect to find.
- 3
Get your report by email
You receive a score plus a ready-to-adapt llms.txt outline for anything missing.
Frequently asked questions
What is an llms.txt file?
llms.txt is a plain-text Markdown file at your domain root that tells AI systems what your site is about, what you offer, and which URLs matter — a concise, machine-readable summary for large language models.
Where should llms.txt live?
At the root of your domain, served at https://yourdomain.com/llms.txt as text/plain, so AI crawlers can fetch it the same way they fetch robots.txt.
Does llms.txt help AI visibility?
It gives AI systems a clean, authoritative summary of your business instead of forcing them to infer it from raw HTML, which improves how accurately they can describe and recommend you.
Also known as
The same free tool, by the names people search for it:
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Fix what the scan finds — automatically
CookMyRank turns every issue this tool surfaces into a deployable fix — schema, metadata, llms.txt, and content — that you approve before it ships.
See how it works