Moderate AI visibility with 12 of 22 criteria passing. Biggest gap: rss/atom feed.
Verdict
gndctl.com has a solid technical foundation for AI discovery, with HTTPS enabled, a valid llms.txt (200 status, 797 characters), AI-friendly robots.txt, and strong schema basics (3 JSON-LD blocks: Organization, WebPage, WebSite). Crawlability and site architecture are healthy, including a valid sitemap (54 URLs) and strong internal linking (34 internal links). The biggest readiness gaps are in answer-oriented content formatting, freshness signals, and trust/attribution layers: no question headings, no FAQPage schema, no RSS/Atom feed, no Person schema, and no visible datePublished/dateModified signals. Overall, the site is indexable and structured, but under-optimized for citation likelihood in AI answer engines.
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Guides for the criteria with the most room for improvement
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.
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.
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.
Your homepage has perfect JSON-LD. Your other 200 pages? Zero. Here's how we measure the gap -and why AI engines judge your whole domain by it.
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We build citation-ready content that AI engines choose as the answer.