Weak AI visibility with 0 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
kanava.ai is currently not AEO-ready, with an overall score of 5 and core machine-readable infrastructure missing across discovery, structure, and trust signals. The site does serve over HTTPS and has a live FAQ page (HTTP 200), plus basic title/meta description coverage, but most other fundamentals are absent. Key blockers include missing llms.txt (404), robots.txt (404), sitemap.xml (404), and complete absence of JSON-LD schema (schema_block_count: 0, schema_types_found: []). The homepage also appears thin for crawl and extraction (homepage_text_length: 9, h1_count: 0, internal_link_count: 0), which materially limits citation potential in AI engines.
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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.
AI assistants are question-answering machines. When your content is already shaped as questions and answers, you're handing AI a pre-formatted citation. Sites that do this right get extracted -sites that don't get skipped.
AI has a trust hierarchy for sources. At the top: proprietary data and first-hand expert analysis. At the bottom: rewritten Wikipedia articles. We've watched AI preferentially cite sites with original benchmarks -even over bigger competitors.
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