Weak AI visibility with 10 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
rubberduckylabs.io has a mid-tier AEO readiness score of 48/100: core crawlability is strong, but answer-format and AI-consumption signals are underdeveloped. Technical foundations are solid with strong robots.txt controls for AI crawlers (10/10), clean crawlable HTML (10/10), canonical strategy (10/10), and sitemap completeness (8/10). The biggest blockers are missing llms.txt (0/10), no FAQ section or /faq page (0/10), no RSS/Atom feed (0/10), and no list/table extractability structures (0/10). Improving content structure, freshness metadata, and expert/author schema can materially increase inclusion in AI-generated answers.
Scoreboard
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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.
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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