AI crawler readiness

Free llms.txt Generator

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.

What llms.txt is and why you might want one

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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Frequently asked.

What is llms.txt?
llms.txt is a markdown file served at the root of your domain (yourdomain.com/llms.txt) that gives large language models a curated overview of your site. The format, proposed by Jeremy Howard at llmstxt.org in 2024, is an H1 with the site name, an optional blockquote summary, and H2 sections containing markdown links with short descriptions. It tells an LLM which pages matter and what each one covers, without making it parse your HTML.
Does Google or ChatGPT actually read llms.txt?
Not officially. As of mid 2026, no major AI vendor (OpenAI, Anthropic, Google) has publicly committed to fetching or honoring llms.txt, and Google's search team has said it does not use the file. Some developer tools, documentation platforms, and independent crawlers do request it, and server logs across the web show AI-related user agents fetching it opportunistically. Treat it as a low-cost bet on an emerging convention rather than a guaranteed ranking lever.
How is llms.txt different from robots.txt and sitemap.xml?
Each file answers a different question. robots.txt sets access rules: which crawlers may fetch which paths. sitemap.xml is an exhaustive machine-readable list of URLs for search engine indexing, with no context about what each page contains. llms.txt is a short, curated, human-readable map with descriptions, designed for a model to read directly and understand what your site offers. They complement each other, and this generator actually uses your sitemap.xml as its source.
What is llms-full.txt?
llms-full.txt is an optional companion file from the same proposal. Where llms.txt links out to your pages, llms-full.txt inlines the full content of those pages as one large markdown document, so a model can ingest everything in a single fetch without crawling. It suits documentation sites with stable content. It also gets large quickly, so most sites should start with plain llms.txt.
Where do I put the file once I have it?
Serve it at the root of your domain: https://yourdomain.com/llms.txt. For most frameworks that means dropping the file in your static assets directory (public/ in Next.js, Vite, and similar; static/ in others). It should return HTTP 200 with a text/plain or text/markdown content type. After deploying, open the URL in a browser to confirm it renders as plain text rather than a 404 or an HTML error page.

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