AI crawler readiness
Generate a spec-compliant llms.txt file for your website in seconds. Enter your domain and this llms.txt generator reads your sitemap, pulls real page titles and descriptions, and drafts the markdown for you. Edit it, copy it, and ship it to yourdomain.com/llms.txt.
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Spec-Compliant Output
We fetch your homepage, read your sitemap, and pull page titles and descriptions to draft the file. Takes 10 to 25 seconds.
llms.txt is a plain markdown file that lives at /llms.txt on your domain. Jeremy Howard proposed it in 2024 through llmstxt.org as a standard way to give large language models a curated map of your site: an H1 with your site name, a short blockquote summary, and sections of links with one-line descriptions. Think of it as a table of contents written for machines that read markdown better than they read your rendered pages. Our llms.txt guide covers the format in detail.
The proposal exists because of two practical constraints. First, context windows are small relative to websites: a model answering a question about your product cannot ingest hundreds of pages, so it benefits from a short list of the ones that matter. Second, HTML is noisy. Navigation, cookie banners, scripts, and layout markup bury the content an LLM actually needs. A hand-picked markdown index skips all of that and points directly at your best pages.
An honest status report: adoption is early. No major AI vendor has publicly committed to reading llms.txt, and you should treat claims otherwise with suspicion. The case for shipping one anyway is that it costs a few minutes, carries no downside, and doubles as a clean site map for any agent, scraper, or tool that does look for it. If you want to know which AI crawlers already visit your site, run the AI crawler checker alongside this.
This generator does the tedious part. It fetches your homepage for the site title and description, reads your sitemap.xml (following sitemap indexes one level deep), and falls back to homepage links when no sitemap exists. It then picks up to 24 of your shallowest pages, fetches a dozen of them for real titles and meta descriptions, and groups everything into sections by URL path. The output lands in an editable textarea, because you know your site better than any crawler: cut weak pages, tighten descriptions, then copy or download the file. Once it is live, check how AI assistants actually talk about your brand with the AI visibility checker.

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