Weak AI visibility with 0 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
noso.so is currently not AEO-ready, with an overall score of 5 and foundational discoverability signals missing across crawl, structure, and content layers. The site does serve over HTTPS and has working title/meta description tags, and robots.txt returns 200, but critical machine-readable assets are absent: /llms.txt (404), /sitemap.xml (404), no JSON-LD schema, no canonical tag, and no RSS feed. Homepage extractability is extremely limited (homepage_text_length: 55) with no H1, no semantic sections, no internal links, and no question-answer formatting for answer engines. In its current state, AI systems have very little structured context to interpret, trust, or cite.
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Guides for the criteria with the most room for improvement
Tidio has a 251-line llms.txt. Crisp has zero. The score gap: +29 points. This single file tells AI assistants exactly what your site does -and without it, they're guessing.
Tidio runs 4 JSON-LD schema types. Crisp runs zero. That's not a coincidence -it's the difference between a 63 and a 34. Structured data is the machine-readable layer AI trusts most.
AI assistants are question-answering machines. When your content is already shaped as questions and answers, you're handing AI a pre-formatted citation. Sites that do this right get extracted -sites that don't get skipped.
AI has a trust hierarchy for sources. At the top: proprietary data and first-hand expert analysis. At the bottom: rewritten Wikipedia articles. We've watched AI preferentially cite sites with original benchmarks -even over bigger competitors.
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