What problem does it solve? AI systems struggle to understand which pages on a website matter most, often misrepresenting businesses or citing the wrong pages. This Skill validates existing llms.txt files against the emerging standard or generates new ones by crawling a site, so AI search engines like ChatGPT, Claude, and Perplexity receive accurate, structured guidance about your content. ## Core Features & Use Cases - llms.txt Validation: Fetches an existing llms.txt, checks format compliance (H1 title, blockquote description, H2 sections, absolute URLs), and scores it on completeness, accuracy, and usefulness. - llms.txt Generation: Crawls the homepage, navigation, and sitemap.xml to discover pages, prioritizes the 10-30 most important ones, and writes factual descriptions plus Key Facts and Contact sections. - Gap Analysis: Compares the file against actual site content to find missing high-value pages, broken URLs, and stale entries. - Use Case: A SaaS company wants AI assistants to cite its pricing and documentation correctly. Run the generation mode to produce a ready-to-deploy llms.txt with prioritized product pages, key business facts, and contact details. ## Quick Start Ask the assistant to analyze the llms.txt file at your domain, or to generate a new llms.txt for your website by crawling its pages.
