The AI Discoverability Stack: How We Got AI Search Engines to Cite Us
We built 4 features that turn a website from a scraped source into a primary citation target for AI search engines. Here is the exact implementation.
Mar 4, 2026•17 min read
Site Freshness Auditor
Score your site against the five freshness signals AI search agents check when deciding what to monitor. Built for the Information-Agent era of Google Search.
Verify your email, drop in any domain, and get a 100-point breakdown across sitemap, feed, blog cadence, Article schema, and visible date stamps with prioritized fixes.
What we analyze
Sitemap Freshness
Does /sitemap.xml exist? What percentage of URLs have <lastmod> tags? How recent are those dates? Agents use the sitemap as their primary change-detection manifest.
Feed Availability
Is there a reachable RSS or Atom feed? Is it linked from the homepage via <link rel="alternate">? Subscription-based agents prefer feeds over repeated sitemap diffs.
Blog Cadence
How many posts in the last 30, 60, 90 days? 3-5 fresh posts per month is the minimum for category visibility. Cadence beats volume because each post is a verifiable change event.
Article Schema Coverage
Across sampled URLs: do they have Article or BlogPosting JSON-LD with dateModified? Is dateModified recent? This is the per-page freshness anchor agents extract.
Visible Date Stamps
Does the rendered HTML have visible <time> elements or "Last updated" copy? AI Overview citations pull "as of [date]" framing from visible page text, not from JSON-LD.
How We Score (100 Points Total)
Your freshness score measures whether AI agents that monitor your category have something to detect when they come back. The five categories map to the actual signals agents extract.
Sitemap Freshness
25 ptsFeed Availability
15 ptsBlog Cadence
25 ptsArticle Schema Coverage
20 ptsVisible Date Stamps
15 ptsGrade scale
A: 85-100B: 70-84C: 55-69D: 35-54F: 0-34
