Weak AI visibility with 7 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
guac.com currently shows low AEO readiness with an overall score of 26/100, driven by major machine-readability gaps rather than crawlability failures. Core AI-discovery assets are missing, including llms.txt (0/10), Schema.org structured data (0/10), FAQ coverage (0/10), RSS/Atom feed (0/10), and schema depth (0/10). The site does have strong technical foundations in canonical strategy (10/10), internal linking (8/10), and sitemap completeness (8/10), but these strengths are not yet converted into answer-engine visibility. With targeted fixes to structure, schema, and answer formatting, the domain could unlock fast gains without a full platform rebuild.
Scoreboard
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Top Opportunities
Improve Your Score
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.
Our site runs 87 FAQ items across 9 categories with FAQPage schema on every one. That's not excessive -it's how we hit 88/100. Each Q&A pair is a citation opportunity AI can extract in seconds.
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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