Weak AI visibility with 5 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
roundtable.ai currently has an overall AEO score of 33/100, which indicates low readiness for reliable AI answer inclusion despite a few strong technical foundations. Core discoverability signals are present in places (Schema.org structured data scored 9/10 and sitemap completeness scored 8/10), but critical AEO controls are missing, including llms.txt (0/10), canonical tags (0/10), FAQ coverage (0/10), RSS/Atom feeds (0/10), and AI permissions/licensing signals (0/10). Content extractability is also weak, with no tables or lists (0/10), no definition patterns (0/10), very low fact density (1/10), and limited direct-answer formatting (3/10). The site can improve quickly by adding explicit AI crawler guidance, stronger answer-format content blocks, and richer schema depth tied to authorship, freshness, and licensing.
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.
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.
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.
Your sitemap says 500 pages exist. Our crawl finds 700. Those 200 missing URLs? AI crawlers will never know they exist.
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