Weak AI visibility with 10 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
bubblelab.ai has an AEO score of 38/100, which indicates partial readiness with major structural gaps for AI discovery. The site shows strong technical hygiene in canonical handling (10/10), sitemap completeness (9/10), and publishing velocity (10/10, with 59 of 75 URLs updated in the last 90 days). However, core machine-readable signals are missing, including llms.txt (404), all JSON-LD schema (0 blocks), FAQ framework, and AI licensing permissions, which materially limits answer-engine confidence and extractability.
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.
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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