AI crawlers and assistants increasingly read websites to answer questions about them, and an llms.txt file gives them a concise, structured summary to work from: what the site is, what its key pages cover, and where to find them. It is a markdown file placed at the site root, in the same spirit as robots.txt and sitemap.xml but written for language models rather than search indexers. This generator builds a well-formed llms.txt from your site name, description, and page list, so AI systems get an accurate first impression instead of guessing from navigation menus and scattered pages.
Quick Answer: Enter your site name, description, and pages, then click Build llms.txt.
Free Online Tool
llms.txt Generator
Build an llms.txt file that summarizes a site content for AI crawlers.
How to Use the llms.txt Generator
- Type your site name and its main URL.
- Write a one or two sentence description of what the site covers.
- Add one page per line as Title, URL, and description, separated by vertical bars.
- Click Build llms.txt.
- Copy the output and save it as llms.txt at your site root.
- Keep it updated when major sections change.
Key Features
- Produces standard llms.txt markdown structure.
- Includes site title, description, and page sections.
- Formats each page as a markdown link with a description.
- Skips blank lines so sloppy input still produces clean output.
- Keeps the file short and scannable, as the format intends.
- Runs entirely in the browser; nothing is published automatically.
What the Result Means
The file starts with the site name as a top heading and a blockquote description, which is what a model reads first to understand the site. The page list that follows is a curated guide, not a sitemap dump: it should name the important pages and say what each covers, so a model can choose the right page for a question. A bloated llms.txt that lists everything is barely better than no file, because the guidance gets lost; a short, honest summary is the point. The format is a convention, not a standard, so different crawlers may treat it differently, but a clear file harms nothing.
Worked Example
A small documentation site called Example Docs covers getting started, configuration, and troubleshooting. Entering those three pages with one-line descriptions produces an llms.txt whose heading names the site, whose blockquote describes it, and whose list links each guide with its purpose. An AI assistant asked about configuration can follow the right link immediately instead of crawling the whole site, and a visitor reading the file gets the same quick orientation.
Best Practices and Tips
- List the pages that answer the most common questions about your site first.
- Write descriptions that say what a page covers, not just its title repeated.
- Keep the whole file focused; aim for the key dozen pages, not hundreds.
- Update it after a redesign or a major content change.
- Pair it with a good robots.txt and sitemap, since each serves a different reader.
Common Mistakes to Avoid
- Dumping the entire sitemap into llms.txt and losing the curation.
- Writing vague descriptions that help neither humans nor models.
- Forgetting to publish the file at the site root where crawlers look.
- Claiming coverage the site does not actually have.
Frequently Asked Questions
What is llms.txt?
A proposed markdown file at a site root that summarises the site for large language models, similar in spirit to robots.txt.
Is it an official standard?
Not yet. It is a widely discussed convention, and support varies by crawler, but the file is harmless to publish.
Where does the file go?
At the site root, such as example.com/llms.txt, where crawlers expect it.
Should it replace my sitemap?
No. Sitemaps serve search indexers with full URL lists; llms.txt serves models with a curated summary.