Weak AI visibility with 5 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
duranium.co has a usable technical base for AI discovery, but it is not AEO-ready yet at scale. The site serves clean HTTPS HTML with semantic elements, substantial crawlable text (10,297 characters), and one JSON-LD implementation using Organization and Service schema. However, core AI-discovery assets are missing: /llms.txt (404), /sitemap.xml (404), /faq (404), RSS/Atom feed, canonical tags, and explicit AI crawler directives in robots.txt. With these foundational gaps plus weak answer-format content and limited internal linking (9 links), citation likelihood and retrieval coverage remain constrained.
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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.
No date on your page? AI engines treat it like a rumor -undated and deprioritized. Here's how we audit whether your timestamps are actually machine-readable.
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.
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