Weak AI visibility with 9 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
gethipposcribe.com currently shows low AEO readiness with an overall score of 35/100, driven by critical discoverability gaps in machine-readable signals. Core technical trust layers are missing, including llms.txt (0/10), Schema.org structured data (0/10), schema depth (0/10), RSS/Atom feed (0/10), and AI permissions/licensing signals (0/10). The site has strong baseline SEO hygiene in canonical strategy (10/10) and strong fact density (8/10 with 107 quantitative data points), but these strengths are under-leveraged because freshness, entity, and answer-structured signals remain weak or partial. In practice, AI systems can crawl the site, but they lack enough explicit structure and governance metadata to confidently extract, rank, and cite content.
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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