Generate a spec-compliant llms.txt file and submit your domain to AI discovery directories — so ChatGPT, Claude, Perplexity, and Gemini can index and cite you.
llms.txt?Like robots.txt for crawlers and sitemap.xml for Google — llms.txt is the emerging standard that tells AI systems which pages on your site contain meaningful, citable content. Without it, LLMs discover your domain through random citations. With it, you control what they index.
Defined at llmstxt.github.io. A plain-text file at /llms.txt listing canonical URLs LLMs should index. Clean, simple, growing adoption.
Registries like directory.llmstxt.cloud and llms-text.com actively submit URLs to LLM training and RAG pipelines. Being listed = being cited.
AI search is growing 40% YoY. Brands in LLM training data get cited in answers. Brands not in it don't. The window to get in early is now.
Citations compound over model retraining cycles. An early listing becomes a durable moat — each new model version bakes in references from previous ones.
One-time or quarterly. No subscriptions required to start.
Browse the full directory — every brand listed has generated an LLMs.txt and submitted to AI discovery directories.
Browse Directory →We verify each directory is live before submitting. Currently active:
We continuously monitor for new AI directories. Enterprise customers get manual directory hunting each quarter.
/llms/{domain}. On Starter, you'll get a download link and instructions to upload the file to your root domain. On Boost and above, it's hosted for you permanently.sitemap.xml to get a clean URL list. If that's not available or incomplete, we crawl your homepage up to 2 levels deep, extracting canonical internal links. We filter out auth-gated routes, admin paths, query strings, and asset URLs — only clean, indexable pages make it in.llms.txt improves discoverability — but LLM citations depend on content quality, authority signals, and model training cycles. Think of this as necessary infrastructure, not a silver bullet. Pair it with ongoing AEO (use our free scan to find gaps).Enter your domain above and see exactly what your LLMs.txt would look like. No email required.
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