llms.txt Generator: Create a Valid llms.txt File in Seconds

An llms.txt file is a plain-markdown file you place at yoursite.com/llms.txt that tells AI crawlers and assistants which pages on your site matter most and what each one covers. It was proposed by Jeremy Howard of Answer.AI in September 2024 as a clean, machine-readable map of your best content, the same idea as an XML sitemap but written for large language models instead of search engine bots. The generator above builds a valid one in seconds.

What goes in an llms.txt file

The format is deliberately simple. A valid file has an H1 with your brand name, an optional one-line summary in a blockquote, then H2 sections containing bullet lists of links. Each link uses the pattern - [Title](URL): note.

• H1 title. Your brand or project name, on the first line, after a single hash.
• Blockquote summary. One sentence describing what you do, after a > symbol.
• Section headings. Group links under H2 headings like Docs, Products or Optional.
• Link lines. A markdown link plus an optional note explaining the page.
• Optional section. A common convention for links a model can skip if short on context.

Why llms.txt matters in 2026

AI assistants are now a real discovery channel. OpenAI reported ChatGPT reaching around 800 million weekly active users in late 2025, and Google said its AI Overviews reach more than 1.5 billion users a month across over 100 countries. At the same time, Brandlight research found the overlap between Google's top organic results and the sources AI engines cite fell from about 70% to under 20% in a year, so being easy for a model to read and quote is its own job now.

One honest caveat: llms.txt is a proposed convention, not a guaranteed-honored standard, and the major AI crawlers do not all formally support it yet. Treat it as low-effort insurance that pairs with the work that actually drives AI citations: answer-first content, schema and brand authority. For a full picture of where your brand stands in AI answers, request a free SEO and AI visibility audit.