Read a public site and score six areas out of ten: technical SEO, content and structure, AEO (whether an answer engine can quote it), GEO (whether AI systems can identify and use it), off-page trust, and conversion. Returns every failing and borderline check with what was actually found on the pages. Free public signals only: no account, no paid tool, nothing stored. Use it when someone asks why a site is not being cited, why AI assistants recommend competitors, or what to fix first.

Read a site's /llms.txt, check it against the format (one H1 naming the site, a summary, sections of links) and follow its links to see whether each still leads to a page, a redirect or nothing. This file rots silently because no human ever opens it. Use it when someone asks whether their llms.txt is correct, why an assistant quotes the wrong pages, or before publishing a new one.

Run the sixteen quality gates on a folder of Markdown or MDX content on this machine: cut titles, copied paragraphs, hollow sections, dead links, redirect chains, a stale agent index, figures with no source, and the agent surface. Returns the report. Use it before publishing, or when asked what is wrong with a content corpus. It needs a local path, not a URL, and it reads files without sending them anywhere.

Run the same six-area measurement on two to four public sites and return them side by side. Use it when someone asks why a competitor is being quoted instead of them, or wants to know where the gap actually is rather than guessing. Free public signals only.