Weak AI visibility with 6 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
dedaluslabs.ai has a solid technical base for crawlability, with HTTPS enabled, substantial indexable text (34,467 characters), semantic HTML5 elements, and working Organization/WebSite schema blocks. However, core AI-discovery files and signals are missing: `/llms.txt` (404), `robots.txt` (404), `sitemap.xml` (404), RSS/Atom feed, canonical tags, and AI licensing directives. The content model is also not yet answer-engine friendly, with zero question headings, no FAQ page, no definition patterns, and only one paragraph in optimal snippet length. Overall, the site is machine-readable but not yet structured for consistent LLM citation and retrieval.
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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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