Weak AI visibility with 11 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
combinehealth.ai shows a mixed AEO profile with an overall score of 42/100: core technical hygiene is solid, but AI-consumable signals are materially underdeveloped. Strengths include canonical strategy (10/10), clean crawlable HTML (9/10), FAQ coverage (9/10), and entity consistency (8/10). However, critical machine-readability gaps remain, including missing llms.txt (0/10), missing schema coverage (0/10), missing AI permissions/licensing signals (0/10), and missing RSS/Atom (0/10). With targeted fixes to structured data, AI crawler guidance, and answer-format content, the site can improve discoverability in AI answer engines quickly.
Scoreboard
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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.
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.
AI engines are citation machines -they need specific facts to quote. A page full of general advice with zero data points gives them nothing to work with.
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