Free llms.txt Generator

llms.txt is a plain-text Markdown file placed at the root of a website (yourwebsite.com/llms.txt) that tells AI agents and large language models what your site is about, which pages matter most, and how to navigate it. Think of it as robots.txt but built for AI. It was proposed by Answer.AI in 2024 and Google made it an official Lighthouse audit in 2026.

Not required, but officially audited. As of May 2026, Google Lighthouse ships llms.txt as an audit under its new Agentic Browsing category. Lighthouse marks it as optional when missing, but flags a server error when the file is broken or empty. Sites that publish a well-formed llms.txt score higher in the Agentic Browsing audit.

At the root of your domain, served as https://yourwebsite.com/llms.txt with content-type text/plain or text/markdown and a 200 response. In Next.js, drop the file in /public. In WordPress, upload via FTP or use a plugin like WP File Manager. In static-site generators (Hugo, Astro, Eleventy), place it in the static/public folder.

robots.txt tells crawlers what they can and cannot fetch (allow/disallow rules). llms.txt tells AI agents what your content means and which pages are most important (positive guidance). robots.txt is for permission; llms.txt is for understanding. Most sites should have both.

ai.txt is a more restrictive cousin focused on opt-in/opt-out signals for AI training (similar to robots.txt). llms.txt is editorial guidance for AI agents that have already decided to read your site. They serve different purposes and many publishers use both.

Following the llmstxt.org canonical structure: an H1 with your brand name, a one-paragraph blockquote summary, then H2 sections grouping related pages with bulleted [Title](URL): description lines. Cover your highest-value pages first. Keep descriptions short and concrete — AI engines reward signal density over prose.

Most brands see measurable AI visibility improvement within 2-3 weeks of deploying a well-formed llms.txt and waiting for AI crawlers to re-index. ChatGPT, Claude, Perplexity, and Gemini all check /llms.txt on the next crawl cycle. Faster improvement is possible if you also fix schema markup and Organization entity gaps at the same time.

llms-full.txt is an optional expanded companion file that publishes your full content in Markdown for LLM retrieval. It is not yet audited by Lighthouse but is a strong GEO (Generative Engine Optimization) signal. Add it after llms.txt if you have content-heavy pages you want AI engines to ingest fully.

The generator is free and requires no signup or email. BrandCited covers the Firecrawl + LLM costs (about $0.01 per generation). The paid platform offers ongoing AI visibility tracking across 10+ AI engines if you want to measure the impact of your llms.txt over time.

Generative Engine Optimization (GEO) is the practice of optimizing your content and site structure so generative AI engines — ChatGPT, Claude, Gemini, Perplexity, Grok, and others — surface and cite your brand when users ask questions in their interfaces. llms.txt is one of the five core GEO signals, alongside schema markup, entity presence in directories, content depth, and AI-crawler access.

Answer Engine Optimization (AEO) is the broader discipline of getting your content surfaced as direct answers in any answer engine — Google AI Overviews, Bing Copilot, ChatGPT, Perplexity, You.com, Brave Answers, and others. It overlaps heavily with GEO but also covers traditional voice assistants like Alexa and Siri.

AIO refers to Google AI Overviews — the AI-generated summary that appears at the top of Google search results for many queries. AIO optimization is a subset of AEO focused specifically on the signals Google AI Overviews uses to source its responses. Schema markup, llms.txt, and entity presence are the three biggest AIO levers.

Yes. The output is an editable Markdown textarea — change any link, description, section, or wording. Then click Copy or Download. The generator gives you a starting point; you know your brand and product hierarchy better than any model, so a quick human polish pass is recommended.

On a 0-10 scale using the same heuristic Google Lighthouse Agentic Browsing applies. The score combines: file presence (2 pts), H1 brand heading (2 pts), blockquote summary (2 pts), at least 2 H2 sections (2 pts), and at least 5 bulleted link entries (2 pts). Broken or empty files score 0 with critical severity.

Sometimes no. The generator uses Firecrawl to fetch your homepage. Sites with aggressive bot protection (some Cloudflare configurations, custom user-agent blocking) may return an empty body. In that case the tool returns a clear error and you can either temporarily allow the Firecrawl user agent or write the llms.txt by hand using our example template.