Weak AI visibility with 3 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
andromedasurgical.com currently has low AEO readiness with an overall score of 21/100, driven by foundational discoverability gaps rather than content volume. The site scores 0 on 11 of 22 criteria, including llms.txt, schema markup, FAQ architecture, sitemap, canonical tags, and AI licensing signals. Strength exists in factual content density (7/10) and generally crawlable HTML (7/10), but these gains are constrained by missing machine-readable structure and weak internal discovery paths (0 internal homepage links). Priority should be fixing indexing and structured-data infrastructure first, then reformatting key pages for direct answer extraction.
Scoreboard
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Top Opportunities
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.
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.
No date on your page? AI engines treat it like a rumor -undated and deprioritized. Here's how we audit whether your timestamps are actually machine-readable.
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