Weak AI visibility with 8 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
readbean.app has a low AEO readiness score of 33/100, with critical machine-readability gaps that prevent strong AI ingestion despite solid canonical hygiene. The largest blockers are missing llms.txt (0), missing schema coverage/depth (0), missing structured data (0), missing definition patterns (0), and missing RSS/Atom and AI permissions signals (both 0). Content volume and factual density are strong (Fact/Data Density: 8 with 233 quantitative points), but extractability is weak due to no direct Q&A pairs, weak list/table structure, and only partial FAQ performance. Technical crawl foundations exist (HTTPS, robots.txt with sitemap, canonical score 10), but absent freshness metadata and entity schema materially limit answer-engine trust and citation potential.
Scoreboard
Fix It With AI
Copy-paste these prompts into Claude Code or Cursor to fix each criterion.
These prompts are designed for projects where you have direct access to the codebase (Next.js, React, static HTML, WordPress, etc.). If your site runs on a hosted platform like Webflow, switch to the "Webflow" tab for platform-specific instructions. Using a different hosted platform? Contact us for custom guidance.
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.
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.
Same content, three URLs, zero canonical tags. Congratulations -you just split your authority three ways and gave AI crawlers a headache.
Want us to improve your score?
We build citation-ready content that AI engines choose as the answer.