If an AI can’t understand your brand from your website, it won’t recommend you. LLMs.txt gives models the structured facts they need — who you are, what you do, why you win.
LLMs.txt is an emerging standard — similar to robots.txt — that tells AI models what your brand is, what you offer, and how to talk about you accurately.
Without it, models infer from whatever fragments they scraped during training. With it, they have a canonical source of truth — and cite you more.
Enter your domain. We crawl your pages, extract your product, brand, and competitive positioning automatically.
Our generator extracts brand facts, product descriptions, and key differentiators — structured for how LLMs parse unstructured web content.
Host the file at yoursite.com/llms.txt. We give you the file, the hosting checklist, and a before/after citation score.
Point us at your domain. We crawl your pages, extract brand signals, product names, and structured facts — then format them for LLM consumption.
LLMs.txt is not just a sitemap. We apply the patterns that get brands cited: short fact blocks, entity disambiguation, competitor positioning.
Claude, GPT-4o, Gemini, and Perplexity index your content differently. We generate format variants tuned to each model's retrieval behavior.
Review the output before you commit. One-click download, or deploy directly to your domain with our serving guide.
As your product evolves, your LLMs.txt should too. Connect your domain once and regenerate on demand.
Pair with AI Citation Check to measure how much adding LLMs.txt moves your citation rate across models.