Weak AI visibility with 0 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
heyblue.com shows very low AEO readiness today, with an overall score of 13 and foundational discoverability assets missing. The site does have HTTPS enabled, substantial crawlable text on the homepage, and some question-style headings, but key machine-readable signals are absent. Critical gaps include no `llms.txt` (404), no `sitemap.xml` (404), no JSON-LD schema at all, and no canonical tag. Content is also hard for AI systems to extract reliably due to missing FAQ infrastructure, weak semantic structure, and no direct-answer/data-dense formatting.
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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.
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.
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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