Weak AI visibility with 9 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
infiniaweb.com has a mid-tier AEO foundation with an overall score of 47/100: strong technical hygiene (canonical URL strategy 10/10, clean crawlable HTML 9/10, schema.org structured data 9/10) but weak answer-first and AI-governance signals. The most limiting gaps are missing llms.txt (0/10), missing RSS/Atom feed (0/10), weak direct answer formatting (3/10), and poor freshness indicators (2/10). Discovery pathways exist through internal linking (8/10) and sitemap validity (8/10), but authority and extractability are constrained by thin expert proof, no FAQPage schema, and limited schema depth (4/10). Closing these specific gaps should materially improve how AI systems interpret, trust, and cite site content.
Scoreboard
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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.
Sitemaps tell crawlers what exists. RSS feeds tell them what changed. If you don't have one, your new content waits days -or weeks -to be discovered.
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.
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.
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