Moderate AI visibility with 12 of 22 criteria passing. Biggest gap: comprehensive faq section.
Verdict
depot.dev shows a solid technical base for AI discoverability, with HTTPS enabled, a substantial llms.txt file (200 status, 51,712 characters), a valid sitemap containing 449 URLs, and strong internal linking (50 homepage internal links). Structured data exists but is shallow: only one JSON-LD block and only the Organization type were detected. The biggest readiness gaps are answer-oriented content and governance signals, including zero FAQ presence, no canonical tag, no AI policy file, no Person/author schema, and weak freshness metadata despite broad sitemap coverage.
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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.
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.
You published a great blog post in January. It's now February and nothing else has appeared. AI engines notice -and they're crawling less often because of it.
AI assistants are question-answering machines. When your content is already shaped as questions and answers, you're handing AI a pre-formatted citation. Sites that do this right get extracted -sites that don't get skipped.
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