Weak AI visibility with 6 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
cosine.sh currently has an AEO Score of 24/100, which indicates low machine-readability despite solid technical hygiene in a few areas. The strongest signal is canonical URL strategy (10/10), with good baseline HTML/accessibility structure (7/10 each for crawlable HTML and semantic accessibility), but core AI-discovery assets are missing. Critical gaps include no llms.txt (0/10), no Schema.org JSON-LD (0/10), no freshness metadata (0/10), and no AI permissions/licensing signals (0/10). The site has meaningful factual content (12 quantitative data points), but weak extractability and structured packaging are limiting answer-engine visibility.
Scoreboard
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Improve Your Score
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.
Your homepage has perfect JSON-LD. Your other 200 pages? Zero. Here's how we measure the gap -and why AI engines judge your whole domain by it.
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