Weak AI visibility with 10 of 23 criteria passing. Biggest gap: llms.txt file.
Developer Tools & InfrastructureAI & ML PlatformsVerdict
hud.ai scores 48/100 on AEO readiness, revealing a site with solid technical foundations but critical gaps in AI-facing content strategy. The site excels at structured data (Schema.org 10/10, Canonical URL 10/10) and crawlable HTML (9/10), but scores near zero on the signals AI engines rely on most: llms.txt (0/10), direct answer paragraphs (1/10), content freshness (2/10), and content licensing (0/10). Without urgent attention to AI-specific discoverability layers, hud.ai's strong technical skeleton will remain invisible to the LLM-powered answer engines rapidly displacing traditional search.
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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.
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.
Same content, three URLs, zero canonical tags. Congratulations -you just split your authority three ways and gave AI crawlers a headache.
AI engines are citation machines -they need specific facts to quote. A page full of general advice with zero data points gives them nothing to work with.
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