Free llms.txt Generator
Build a clean, spec-style content map of your site for AI models — llms.txt and llms-full.txt, ready to deploy. Free ($0), no signup.
The llms.txt format was proposed by Jeremy Howard of Answer.AI in September 2024. Enter any public URL and receive llms.txt plus llms-full.txt in about 30 seconds — up to 20 pages analysed, grouped into logical sections with deployment steps.
Last updated June 2026
How does the llms.txt generator work?
The generator discovers up to 20 public pages, reads each title and meta description, and outputs spec-style Markdown at /llms.txt and /llms-full.txt in four steps:
- 1Enter a public URL — Paste any publicly accessible website URL. No signup or account required.
- 2Automatic page discovery — The generator discovers up to 20 key pages and reads each page's title and meta description.
- 3Structured output — Pages are grouped into logical sections and formatted as spec-style llms.txt and llms-full.txt.
- 4Copy, deploy, and review — Deploy both files at your site root (/llms.txt and /llms-full.txt) and review before publishing.
llms.txtis a Markdown file at a site's root (/llms.txt) that gives AI models a structured map of the site name, purpose, and key pages. The format was proposed by Jeremy Howard (Answer.AI, 2024) as a community convention.What should you expect from llms.txt in 2026?
llms.txt is an emerging community proposal documented at llmstxt.org, not an adopted W3C or IETF standard, and there is no public controlled evidence it measurably increases AI citations as of 2026. Publishing a file is low-risk hygiene: it costs $0, takes minutes to deploy, and does not block normal crawling. Fix crawl access and server-rendered HTML first — those gates matter more than any optional AI map file. Read the complete llms.txt guide for the full picture.
Read the guideWhat is the difference between llms.txt and llms-full.txt?
llms.txt is a concise link map (typically 10–20 described URLs); llms-full.txt uses the same section structure but inlines fuller page text so a model can ingest more context in one fetch, per the companion format described at llmstxt.org.
| Feature | llms.txt | llms-full.txt |
|---|---|---|
| Format | Concise links with short descriptions | Extended Markdown with inline content |
| Purpose | Lightweight site map for AI models | Deeper context without extra fetches |
| Deploy path | /llms.txt | /llms-full.txt |
How many pages does the generator analyse?
The free generator analyses up to 20 key pages per URL. It reads each page title and meta description, groups results into logical H2 sections, and outputs both llms.txt and llms-full.txt with deployment instructions — $0, no signup required as of 2026.
Frequently asked questions
Is the llms.txt generator free?
Yes. Enter a URL and you get a spec-style llms.txt and llms-full.txt plus deployment instructions, free and with no signup.
What is the difference between llms.txt and llms-full.txt?
llms.txt is a concise Markdown map: your site name, a one-line summary, and sections of links with short descriptions. llms-full.txt goes further and inlines fuller descriptions (and, for content sites, more text) so a model can ingest more without extra fetches.
Does publishing llms.txt improve my AI visibility?
There is no public, controlled evidence that it measurably increases citations, and engine support is inconsistent. It's an emerging community proposal — low-risk to publish, but not a guaranteed ranking or citation lever. Fix crawl access and rendering first.
Where do I put the files?
Deploy llms.txt and llms-full.txt at your site root so they resolve at /llms.txt and /llms-full.txt. The generator includes exact deployment instructions with each result.
How many pages does the generator analyse?
The free generator discovers and analyses up to 20 key pages per URL. It reads each page's title and meta description to build the structured output.
Do AI models use llms.txt?
Support is inconsistent. Some AI crawlers may read llms.txt, but major answer engines have not publicly confirmed it as a ranking or citation signal. The spec remains a community proposal documented at llmstxt.org.