Weak AI visibility with 1 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
everestmanagedai.com has a very low AEO baseline (overall score: 8) with basic crawl access in place but almost all AI-readiness signals missing. The site works over HTTPS and returns 200 for robots.txt, FAQ, and sitemap endpoints, but core machine-readable infrastructure is absent: no JSON-LD schema blocks, no llms.txt, no ai.txt, and no canonical tag. Content is also difficult for AI systems to extract and cite, with zero question headings, zero internal links, no list/table structures, and no freshness markers like <time> or datePublished/dateModified. In short, discoverability exists at a basic level, but citation readiness and entity clarity are currently weak.
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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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