Weak AI visibility with 6 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
blyss.dev currently has low AEO readiness with an overall score of 26/100, driven by foundational discoverability and machine-readability gaps. The site has a solid crawlable HTML base (9/10) and decent internal linking (7/10), but critical AEO infrastructure is missing, including llms.txt (0/10), structured data (0/10), sitemap (0/10), RSS/Atom feed (0/10), and canonical tags (0/10). Content is present and data-rich (60 quantitative points), yet it is not formatted for answer extraction: direct answer paragraphs scored 1/10 and FAQ coverage scored 0/10. Closing these structural gaps will materially improve AI crawler interpretation, citation potential, and answer-surface visibility.
Scoreboard
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Top Opportunities
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.
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.
Your homepage has perfect JSON-LD. Your other 200 pages? Zero. Here's how we measure the gap -and why AI engines judge your whole domain by it.
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