LLMs.txt Generator - AI Discovery File Creator

llms.txt is an emerging Markdown-style file intended to help AI assistants, agents, and crawlers understand the important pages on a website. It usually contains a site summary, curated links, sitemap discovery, and usage notes. The goal is to point systems toward authoritative canonical resources instead of making them infer everything from navigation, search pages, or noisy URL patterns. It complements traditional SEO files but is not a replacement for them.

Start with the site name and a concise description, then list the most useful canonical pages with short notes. Add a sitemap URL, contact or policy URL, and usage guidance that explains citation preferences or URLs to avoid. This generator formats those fields into a clean Markdown-style llms.txt draft. Publish the file at the site root, such as https://example.com/llms.txt.

Publish llms.txt at the root of your domain so it is available at https://yourdomain.com/llms.txt. For static sites and many JavaScript frameworks, that usually means placing it in the public folder. For a CMS, upload it to the public web root or use a plugin or route that serves plain text. After deployment, open the URL directly in a browser to confirm it returns the file instead of an HTML error page.

No. robots.txt is a crawler access file that tells compliant bots which paths they may or may not crawl. llms.txt is a contextual guide that points AI systems toward important pages and explains how the site should be understood or cited. Use robots.txt for crawl rules, sitemap.xml for URL discovery, and llms.txt for curated context. They work together but solve different problems.

Include high-value canonical pages that explain the site well: documentation, API references, product pages, pricing, changelogs, support pages, category hubs, policies, tutorials, and authoritative articles. Leave out private pages, parameterized URLs, duplicate filters, staging pages, internal search results, and low-value archive pages. A short curated list is more useful than a complete dump of every URL.

Yes, including the sitemap URL is useful because it connects the curated AI context file with your canonical crawl map. The sitemap remains the broader URL discovery file, while llms.txt highlights the pages that deserve special attention or citation context. Keep both files aligned: if a core page appears in llms.txt, it should usually also be a canonical, indexable URL in your sitemap.

No. llms.txt is not an access-control mechanism. It can express preferences and guidance, but it does not technically block crawling or usage. For crawler access rules, use robots.txt and server-level controls where appropriate. For legal or licensing restrictions, publish clear policy pages and consult qualified legal guidance. Treat llms.txt as a discovery and context file, not enforcement.

Some sites may choose to maintain a longer companion file, sometimes called llms-full.txt, with more complete documentation or expanded context. Many sites should start with a concise llms.txt first because it is easier to maintain and less likely to become stale. If you add a fuller version, link to it from llms.txt and keep both files aligned with the same canonical URLs and policies.

Update llms.txt whenever important documentation, product pages, category pages, or canonical URLs change. Also review it after migrations, rebrands, pricing changes, product launches, and major content audits. A stale llms.txt file can point assistants toward outdated pages or broken URLs. Treat it like sitemap and metadata maintenance rather than a one-time launch task.

Yes, if the site has a few pages that are clearly more authoritative than the rest. A small SaaS site, portfolio, agency site, or documentation hub can use llms.txt to highlight the homepage, product overview, pricing, docs, support, and policies. The smaller the site, the more important it is to keep the file concise. Do not add filler pages just to make the file longer.