Weak AI visibility with 0 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
lakonia.us.com has foundational availability signals (HTTPS is enabled, title/meta description are present, and the FAQ URL returns HTTP 200), but AEO readiness is currently very low at an overall score of 6. Core machine-readable discovery assets are missing or invalid: `llms.txt` is not a valid text file, `robots.txt` is missing, `ai.txt` is missing, and no JSON-LD schema blocks were detected (`schema_block_count: 0`). Content extractability is also weak, with no H1 (`h1_count: 0`), no question headings (`question_headings_count: 0`), no internal links (`internal_link_count: 0`), and only 91 characters of homepage text. Until technical discoverability and structured content are implemented, AI engines will struggle to interpret, trust, and cite the site.
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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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