Weak AI visibility with 2 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
pigeondocuments.com is currently not AEO-ready, with an overall score of 9 and foundational discovery signals missing across the stack. The site does have HTTPS, a title, a meta description, and accessible text content, but key machine-readable assets are absent: no valid llms.txt, no robots.txt, no JSON-LD, and no canonical tag. Homepage structure is especially limiting for AI retrieval, with 0 internal links, 0 H1 tags, and no semantic navigation landmarks. The result is low extractability, weak entity confidence, and poor freshness signaling despite the site being live and crawlable over HTTPS.
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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.
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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