Weak AI visibility with 9 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
santehq.com currently shows early-stage AEO readiness, with an overall score of 34/100 and several foundational gaps limiting AI discoverability. The strongest area is crawlable page structure (9/10), supported by clean HTTPS delivery, semantic elements, and a correct single-H1 hierarchy, but critical machine-readable signals are missing. High-impact deficits include llms.txt (0/10), Schema.org structured data (0/10), and schema depth (0/10), along with weak freshness and publishing signals (2/10 each) and no RSS/Atom feed (0/10). The site has usable content volume and 22 internal links, but without structured entities, canonical consistency signals, and extractable Q&A/FAQ formatting, AI systems have limited confidence in interpretation and citation.
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.
Sitemaps tell crawlers what exists. RSS feeds tell them what changed. If you don't have one, your new content waits days -or weeks -to be discovered.
Your sitemap says 500 pages exist. Our crawl finds 700. Those 200 missing URLs? AI crawlers will never know they exist.
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