Numbers, percentages, counts, and dates are inherently citable — AI systems extract them verbatim and attribute them to your site, giving you durable presence in generative answers. Content that stays purely qualitative ("many features," "fast response," "comprehensive coverage") leaves the model nothing measurable to hand back to a user, so your page is skipped in favor of a competitor page with hard numbers.
Medium because specific data points materially increase citation rate but are complementary to definitional and FAQ content.
Add at least three distinct specific data points to public content pages — check counts, coverage percentages, publication cadence, measurement thresholds, or named quantities. At least two must be non-price metrics. Distribute them across the homepage, pricing, and feature pages under src/app/.
<p>22 checks. 4 categories. 90-day rolling benchmark window. Updated monthly.</p>
ID: geo-readiness.content-citability.specific-data-points
Severity: medium
What to look for: Scan marketing and content pages for specific data points: numbers ("22 checks"), percentages ("90-day rolling window"), dates ("updated monthly"), counts ("supports 10+ tools"), measurements ("1200x630 pixels"), or named quantities. Count the total specific data points across all public content pages. Enumerate each data point found with its page location. Report: "X specific data points found across Y pages."
Pass criteria: Count all specific data points (numbers, percentages, dates, counts, measurements) across all public content pages. The total must be at least 3 distinct data points that an AI system could reference. Prices alone do not count toward the threshold — at least 2 of the 3 must be non-price data points (product metrics, check counts, performance numbers, etc.).
Fail criteria: Fewer than 3 specific data points found across all public content. All claims and descriptions are qualitative — no specific numbers, dates, counts, or measurable statements anywhere in the public content. Report: "Only X specific data points found across Y pages — minimum 3 required".
Skip (N/A) when: Utility or tool project with no marketing or explanatory content.
Detail on fail: "Only 1 specific data point found across 5 public pages (the price) — minimum 3 required, at least 2 non-price. All other descriptions are qualitative ('many features', 'fast response', 'comprehensive coverage')" or "0 specific data points found across 3 pages — no product metrics, check counts, or performance numbers anywhere in content"
Remediation: AI systems value specificity. Replace vague descriptions with concrete numbers in your content pages (e.g. src/app/page.tsx, src/content/blog/, or marketing route files):
Instead of: "Comprehensive audit coverage" Write: "22 checks across 4 categories covering AI crawler access, content citability, authority signals, and AI-readable structure"
Numbers, dates, and measurements are inherently citable.