Weak AI visibility with 5 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
robodock.tech has a solid technical base for AI crawling with HTTPS enabled, substantial indexable text (12,044 characters), semantic HTML5 structure, and a valid Organization JSON-LD block. However, core AEO discovery and citation infrastructure is largely missing: /llms.txt, /sitemap.xml, /faq, RSS/Atom feed, canonical tags, and explicit AI crawler directives are absent. Content is not yet formatted for answer extraction, with 0 question headings, 0 definition patterns, no list/table structures, and only one snippet-length paragraph. The site is credible in signal volume (18 quantitative data points, 16 internal links) but under-instrumented for AI engines to reliably interpret, trust, and cite.
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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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