Weak AI visibility with 0 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
eggnog.ai has a minimal technical foundation for discoverability, but it is not AEO-ready in its current state. The site is reachable over HTTPS and returns 200 for robots.txt, FAQ, and sitemap endpoints, but critical AI-discovery assets are missing or ineffective: no valid /llms.txt, no JSON-LD schema blocks, and no canonical tags. Content is extremely thin in source HTML (53 text characters), with zero internal links, no H1, and no structured answer formatting, which limits extraction and citation by AI engines. The fastest path forward is to fix machine-readable fundamentals (llms.txt, schema, sitemap, robots directives) and publish answer-first, evidence-backed content.
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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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