Moderate AI visibility with 12 of 22 criteria passing. Biggest gap: rss/atom feed.
Verdict
concourse.co shows a solid technical foundation for AI discoverability, with `llms.txt` live (HTTP 200, 2,789 characters), valid schema presence (`organization`, `webpage`, `website`), and strong crawl signals through a healthy sitemap (91 URLs, all with `lastmod`). The site also demonstrates strong internal discoverability with 59 internal links and recent publishing momentum (73 URLs updated in the last 90 days). However, core answer-extraction and trust signals are underdeveloped: no canonical tags, no RSS/Atom feed, no `ai.txt`, no FAQ page at `/faq` (404), and no explicit AI crawler directives in `robots.txt`. Overall, the site is moderately AEO-ready but missing several high-leverage implementation basics needed to improve answer inclusion and citation reliability.
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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 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.
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.
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