llms.txt generator

What is an llms.txt file?

An llms.txt file is a simple, plain-text file you place at the root of your website to help large language models understand it. Proposed as an open standard in 2024, it works a little like a table of contents written for machines: a Markdown file that names your site, describes what it does, and points to the pages that matter most. Where a sitemap lists every URL for search-engine crawlers, llms.txt curates the handful of pages you actually want an AI assistant to read, in clean text a model can parse without wading through your navigation, scripts and styling.

The format is deliberately minimal. It starts with an H1 for your site name, an optional blockquote summary, optional detail paragraphs, and then Markdown sections of links — each a title, a URL and an optional note. That’s the whole spec, which is exactly why it’s catching on: anyone can write one by hand, and this generator gives you a valid file without memorising the syntax.

Why llms.txt matters for AI visibility

AI assistants and answer engines are becoming a real discovery channel. When someone asks ChatGPT, Perplexity, Claude or Google’s AI Overviews about the problem your product solves, you want your site to be one of the sources the model reads and cites. The easier your content is for a model to ingest, the more likely it is to be surfaced accurately rather than skipped or misdescribed.

That’s the job llms.txt does. By pointing AI systems straight at your best pages — your product overview, your pricing, your key docs and guides — you reduce the chance a model quotes a stale page, an old blog post, or gets your positioning wrong. It won’t force any assistant to use your content, and adoption across AI providers is still early, so treat it as one low-cost signal among many rather than a guarantee. But it’s a clear, honest description of your site in the machine-readable format this new wave of tools is built to read, and it costs you nothing but a few minutes to publish.

How to use this llms.txt generator

Fill in your site name and a one-line description of what you do — keep it concrete and jargon-free, because that summary is often the first thing a model reads. Add an optional detail paragraph if there’s context worth including. Then list your key links: for each one, give it a label, paste the full URL, and choose a section like Docs, Guides, Blog or Product. Anything you mark Optional is grouped last, signalling to a model that it can be skipped if it’s short on context.

The file on the right updates as you type. When it looks right, use Copy to grab the text or Download to save llms.txt straight to your machine. Everything happens locally in your browser — nothing you enter is sent anywhere.

What makes a good llms.txt file

A strong llms.txt is short, honest and current. Lead with a description that a newcomer could understand in one read — say what you do and who you do it for, not a slogan. In the link sections, be selective: point to the pages that best explain your product and answer real buyer questions, rather than dumping every URL on the site. A tight list of ten genuinely useful links does more than a hundred thin ones, because it tells a model exactly where the substance lives.

Group related links under clear section headings so the structure mirrors how someone would explore your site — product, docs, guides, then anything supplementary under Optional. Write each link label as a plain description of the destination, and add a short note after a link when the title alone doesn’t make the purpose obvious. Finally, keep it in sync: an llms.txt that points to pages you’ve since moved or retired sends AI systems to dead ends, so review it whenever your site structure changes.

Where to put your llms.txt file

Upload the finished file to the root of your domain so it’s reachable at https://yourdomain.com/llms.txt, the same place you’d put robots.txt. Some teams also publish an expanded llms-full.txt with the complete text of key pages inlined, but the core llms.txt index is the place to start. After you publish it, open the URL in a browser to confirm it loads as plain text, and revisit it whenever your important pages change so the index stays accurate.

llms.txt vs robots.txt and sitemaps

These files complement each other rather than compete. robots.txt tells crawlers what they may and may not access; an XML sitemap lists every URL you want indexed; and llms.txt curates and describes the pages you most want an AI model to understand. Keep all three: robots.txt for access rules, the sitemap for coverage, and llms.txt for a human-readable, AI-friendly summary of what your site is about.

A well-formed llms.txt is a small piece of a bigger picture. Getting cited by AI also depends on clear, well-structured content, sound technical health, and knowing how assistants currently describe you. That’s where Suparank comes in: it measures your brand’s visibility across ChatGPT, Perplexity, Gemini and Claude, runs GEO audits to find what’s holding you back, and helps you write content AI actually quotes — all from one chat-first workspace.