Weak AI visibility with 5 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
usebizzy.com has a crawlable technical base (HTTPS enabled, semantic HTML5 elements present, title/meta description, and a valid sitemap), but it is not AEO-ready in its current state. The largest gaps are foundational machine-readable signals: no `llms.txt` (404), no JSON-LD schema of any type, no canonical tags, and no RSS/Atom feed. Content extraction signals are also thin, with only one question heading, one optimal direct-answer paragraph, no lists/tables/definitions, and limited internal linking (7 links). With core metadata and structured content upgrades, visibility and citation likelihood in AI engines can improve materially.
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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.
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.
Your sitemap says 500 pages exist. Our crawl finds 700. Those 200 missing URLs? AI crawlers will never know they exist.
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