Weak AI visibility with 7 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
usekestrel.ai shows a solid technical foundation for crawlability, but weak AEO readiness overall (overall score: 35) due to missing machine-readable discovery and metadata layers. The homepage is substantial and accessible (64,391 text characters, semantic elements like main/nav/footer/section, 35/35 images with alt text, and 25 internal links), which is a strong base for extraction. However, critical artifacts are absent, including llms.txt (404), robots.txt (404), sitemap.xml (404), canonical tags, RSS/Atom feed, and homepage JSON-LD blocks (0 schema blocks), which limits AI engine understanding and citation potential. Content structure has partial strengths (direct-answer paragraphs and quantitative facts) but needs expansion with dedicated FAQ, definition patterns, source attribution, and freshness/author signals.
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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.
No date on your page? AI engines treat it like a rumor -undated and deprioritized. Here's how we audit whether your timestamps are actually machine-readable.
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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