Weak AI visibility with 6 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
closera.com has a workable technical base for AEO (HTTPS enabled, valid sitemap with 10 URLs, and a strong canonical setup), but it is currently not AI-ready at the content-interpretation layer. The largest blockers are the absence of `llms.txt` (404), no JSON-LD schema at all (`schema_block_count: 0`), no FAQ surface (`/faq` returns 404), and no RSS/Atom feed. The homepage also underperforms for extractability with only 1 question heading, no definition patterns, and weak direct-answer formatting. In short, discoverability signals exist, but citation and answer eligibility signals are largely missing.
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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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