Weak AI visibility with 7 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
glass.health is currently at an early stage of AEO readiness, with an overall score of 22/100 and 13 of 22 criteria marked MISSING. The strongest signal is canonical hygiene (10/10), and basic structured data exists (7/10) via 2 JSON-LD blocks, but coverage is shallow and limited to Organization markup. Critical answer-extraction signals are absent, including FAQ coverage (0), direct answer formatting (0), fact density (0), and freshness metadata (0). Crawlability exists at a baseline level (HTTPS, robots.txt, sitemap), but missing llms.txt (404), no AI policy file, and no lastmod dates materially reduce AI discoverability and trust.
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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.
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.
Our site runs 87 FAQ items across 9 categories with FAQPage schema on every one. That's not excessive -it's how we hit 88/100. Each Q&A pair is a citation opportunity AI can extract in seconds.
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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We build citation-ready content that AI engines choose as the answer.