Weak AI visibility with 2 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
orchid.health currently has very low AEO readiness with an overall score of 9/100, driven by 15 of 22 criteria scoring 0. Core machine-readability signals are absent, including `llms.txt`, JSON-LD schema, canonical tags, direct-answer formatting, and freshness metadata. Technical discoverability is also constrained by 0 internal links on the homepage, no semantic navigation elements, and an invalid sitemap structure despite a robots.txt file being present. The strongest near-term upside is foundational: adding crawl guidance, structured data, and extractable answer-oriented content can rapidly improve AI retrieval confidence.
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.
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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