About LLCrawler
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Mission
We built LLCrawler after running manual visibility audits on hundreds of sites and realizing teams needed a fast, opinionated scoring system for how LLMs actually read the web. Our research over the past year shaped each of the checks in this tool.
Who runs it
Johan Alvarado — software engineer with 10+ years of experience shipping SaaS products, previously building tools for developer productivity. LLCrawler is a solo project, funded by affiliate links to tools we actually use.
How the score works
Each analyzer runs against the fetched homepage HTML. Signals come from the public specifications that engines publish: robots.txt, the llms.txt proposal, Schema.org, Open Graph, and Google's E-E-A-T guidance for search. We do not run AI queries against your site — the score is deterministic.
According to the llms.txt specification, the Schema.org vocabulary, and Google's published Quality Rater guidelines, these signals are what AI engines weigh most heavily when deciding whether to cite a page.
Contact
Questions, feedback, or partnership ideas? Email [email protected]. We answer every message.