llms-txtlisted

# llms-txt Generate an `llms.txt` file: a plain-markdown index at the root of a domain that lists its most important pages so AI systems can orient quickly. ## Steps 1. **Fetch the site.** Get the homepage and, from its navigation and sitemap (`/sitemap.xml` if present), identify the pages that actually matter: product, pricing, docs, key blog/guide pages, about/contact. Ignore utility pages (cart, login, legal boilerplate) unless the user asks. 2. **Write `llms.txt`** in this exact structure: ``` # [Company name] > [One-sentence description of what the company does and for whom.] ## Core pages - [Page title](https://full-url): one-line description of what's on it - [Page title](https://full-url): one-line description ## Guides & resources - [Page title](https://full-url): one-line description ## About - [Page title](https://full-url): one-line description ``` Keep descriptions concrete and specific — they help the model decide what to read. Use absolute URLs. 3. **Offer `llms-full.txt`** if the site is small enough: same idea, but with the actual cleaned text content of the core pages inlined, so a model can ingest everything in one fetch. 4. **Tell the user how to deploy it:** place the file at `https://theirdomain.com/llms.txt` (root). No config needed. ## Be honest about what this is Say this plainly in your output, don't bury it: > `llms.txt` is **hygiene, not a ranking lever.** As of 2026, no major AI provider has confirmed they use it to decide who gets c