Weak AI visibility with 7 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
bluedot.co is at an early stage of AEO readiness with an overall score of 26/100, held back by foundational discoverability gaps. The largest blockers are missing machine-readable guidance and schema: llms.txt (0), Schema.org structured data (0), schema depth (0), and AI permissions signals (0). Content is crawlable and structurally sound in parts (Clean HTML 9, Semantic HTML 8, Sitemap completeness 7), but extraction-oriented formats are weak or absent, including FAQ coverage (0), list/table extractability (0), and definition patterns (0). In short, the site is indexable for search crawlers, but under-prepared for reliable AI answer generation and citation.
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.
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.
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.
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