llms.txt Generator: Make Any Website AI-Readable
Generate a ready-to-publish llms.txt so ChatGPT and AI agents can read your site.
In plain language.
Crawls a site's own pages and metadata and assembles a spec-compliant llms.txt — titles, summaries, and sectioned links, ready to publish as-is.
Nothing is invented: every line traces back to content already on the site, not an AI's guess at what it might say.
The direct fix when an audit turns up a missing or broken llms.txt.
The tempting shortcut is to have a language model write the file. That produces confident descriptions of pages that may not exist — the worst possible outcome, since the file’s entire purpose is to tell assistants what is true about your site.
Discovery starts from your sitemap, because that is the site’s own statement about which pages matter, with link-following as a fallback. For each page only the title and meta description are captured; nothing is generated.
Page titles usually repeat the site name as a suffix, so that suffix is detected and stripped, turning “Pricing | Acme” into “Pricing”. Pages are then grouped into sections derived from URL structure and emitted in a fixed order, so two runs of the same site produce comparable files.
The finished file comes back in full, ready to review and save at your domain root. It is a draft with real provenance, not a fabrication you have to fact-check line by line.
Output quality follows your own metadata. Pages without a meta description produce link entries without a summary, so the file is exactly as descriptive as the site behind it — which is usually a useful signal in itself.
The page cap is real and deliberate: a very large site is represented by a bounded selection rather than an unbounded crawl, which keeps runs fast, cheap and predictable. Sectioning derives from URL structure, so review and rename sections before publishing if your own mental model differs.
JavaScript-rendered content is not executed, so titles and descriptions need to be present in the served HTML. Publishing remains your step: the file is returned in the output rather than uploaded anywhere on your behalf.
Who it's for
- For marketing and SEO. Publish an llms.txt so assistants describe your product from the pages you chose, rather than from whatever they happen to crawl.
- For documentation teams. Generate from your docs sitemap so assistants answering user questions reach current pages instead of stale ones.
- For agencies. Produce a first-draft file for every client site in one run, then review and publish — otherwise an hour of copy-paste per site.
- For developers and AI agents. Regenerate after a restructure and diff against the published file to see which sections changed, as one step in a release pipeline.
Pricing
$0.02 per site.
No subscription. Failed or empty inputs are never charged.
Fewer knobs. Better defaults.
Deterministic, not AI-guessed
Built from the site's real titles and descriptions — reproducible output.
Spec-compliant by default
Follows the llms.txt format so assistants can parse it reliably.
Publish and done
Drop the output at /llms.txt — no manual cleanup needed.
Same tool, callable as an MCP server.
llms.txt Generator runs on Apify, which means it's exposed as a remote MCP tool with no extra setup. Point any MCP-compatible agent (Claude, Cursor, and others) at the endpoint below.
View full API reference on Apify{ "siteUrl": "https://example.com", "maxPages": 50 }