An llms.txt file is a Markdown file you place at your domain root (yourdomain.com/llms.txt) that gives AI answer engines a clean, curated map of your site — what you do, which pages matter, and how you want your content used. It is conceptually like robots.txt or sitemap.xml, but written for large language models instead of crawlers. This free llms.txt generator builds a valid, spec-aligned file in your browser from a few inputs: your site name, a one-line summary, your key URLs with short descriptions, and any usage policies. Nothing is uploaded — the file is assembled client-side and you copy or download the finished Markdown.
The format is deliberately simple: an H1 with your brand name, an optional blockquote summary, then H2 sections of curated links, each with a short description. The hard part is not the syntax — it is curation. A good llms.txt points models at your best, most representative pages and explains them in plain language, so when ChatGPT, Perplexity, Claude or Google AI Overviews consult it, they get an accurate summary instead of guessing from raw HTML. This tool handles the structure so you can focus on choosing the right pages.
Be clear-eyed about what it does and does not do. No major engine has confirmed llms.txt as a ranking or citation signal, and adoption is still early — so do not publish one expecting a traffic spike. Its value is the asymmetry: it costs a few minutes, the downside is essentially zero, and it is a clean, forward-looking signal that your site is structured and AI-ready. Treat it as one low-cost piece of your generative engine optimization (GEO) setup, not a silver bullet.
How to use it
- 1
Enter your site name and summary
Add your brand or site name (this becomes the H1) and a one- or two-line summary of what you do. Write the summary the way you would describe the site to a stranger — it becomes the blockquote a model reads first.
- 2
Add your key URLs with descriptions
List your most important pages — features, pricing, top guides, docs — each with a short, honest description. Use absolute URLs (https://...) so references are unambiguous. Curate rather than dump: pick the pages you actually want cited, not every URL on the site.
- 3
Set any usage policies
Optionally note how you want AI systems to use your content, plus a contact point. This is where you signal openness to citation, attribution preferences, or any restrictions, kept human-readable in plain Markdown.
- 4
Generate, copy, and download
The tool assembles valid llms.txt Markdown live in your browser. Review it, then copy it or download the file. Everything runs client-side — none of your inputs leave the page.
- 5
Publish it at your domain root
Upload the file so it serves as plain text at https://yourdomain.com/llms.txt — the same root location as robots.txt. Re-run the tool and update the file whenever your best content changes.
The biggest mistake with llms.txt is treating it like a sitemap and dumping every URL into it. The standard exists precisely because models work from limited context — they benefit from a short, human-curated map, not an exhaustive index. List the handful of pages that best represent what you do and would be genuinely useful as a citation. Quality of curation beats quantity every time.
Two more things to get right. First, use absolute URLs and keep descriptions accurate — a model that consults your file will repeat what it says, so a misleading description becomes a misleading answer about your brand. Second, keep it current: an llms.txt that points at retired pages or stale messaging is worse than none. It is a living file, not a set-and-forget artifact, which is exactly why doing it by hand stops scaling once you pass a handful of pages or sites.
Finally, remember llms.txt is one signal among several. Real AI-search visibility also depends on clean structured data, canonical entities, crawlable content, and pages that actually answer questions the way AI engines extract answers. Publishing the file is a good first move; it is not the whole job. Pair it with the rest of your GEO and technical SEO foundation.
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