Maps your indexable pages
Lists every indexable page the crawl found, grouped into sections such as About, Services, Products, Blog and Docs, with its title and meta description.
Every Daylytix audit builds an llms.txt and an llms-full.txt from your crawled pages: a Markdown map of your indexable content, grouped into sections, for the AI tools that read the llms.txt convention.
# Example Client > Handmade stoneware and pottery classes. ## About - [About us](https://example-client.com/about): Family studio making stoneware since 2009. ## Products - [Stoneware mugs](https://example-client.com/mugs): Hand-thrown mugs, made to order. - [Gift cards](https://example-client.com/gift-cards) ## Blog - [How to care for stoneware](https://example-client.com/blog/care): Washing, storing and repairing.
Lists every indexable page the crawl found, grouped into sections such as About, Services, Products, Blog and Docs, with its title and meta description.
Leaves out noindex pages, pages that do not return 200, soft 404s, and pagination, search, cart, tag, category, author and feed URLs.
No manual formatting. Both files are written as part of each full audit; copy or download them and publish llms.txt at your site root.
Follows the llms.txt convention: a Markdown title, a short summary, sections and per-link descriptions that language models can parse.
Re-run the audit after you publish or restructure content, and both files are rebuilt from the new crawl.
Part of generative engine optimisation: helping AI tools understand your site, alongside the classic SEO checks in the same audit.
Enter your domain. Daylytix crawls your pages and reads titles, descriptions and structure.
Indexable pages are grouped and written into llms.txt and llms-full.txt, with low-value URLs left out.
Review the file and upload it to your site root. AI tools that support the convention can now read your map.
llms.txt is a simple text file at your site root that gives AI crawlers a curated map of your most important pages and what they cover - much like robots.txt or a sitemap, but written for large language models.
Every full audit lists your indexable pages, grouped into sections, with their titles and meta descriptions, in llms.txt and llms-full.txt - ready to copy or download and publish at /llms.txt.
It can help AI agents and assistants that read llms.txt find and understand your key pages. Google says Google Search ignores llms.txt files, so it does not affect your rankings or AI Overviews, and few other AI providers document whether they read it. Treat it as a quick, low-risk extra, not a visibility lever.
It leaves out noindex pages, pages that do not return 200, soft 404s, and pagination, search, cart, tag, category, author and feed URLs. Review the file before you publish it.
Whenever you publish or restructure important content. Re-run the audit and both files are rebuilt from the new crawl.
Get an llms.txt built from your own pages with your next audit.