AI Visibility
measured65/100
Frequently Cited · in FP&A
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals27/100
Weak fundamentals
Avg Prompt Score
61
across 309 prompts
AI Share of Voice
61%
across 309 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in FP&A
Composite = 50% coverage + 30% engine breadth + 20% position, measured in the brand's strongest category. Position and citation depth join the score once the aggregation pipeline captures them. This is the measured Visibility score — separate from AEO Readiness, which scores fundamentals.
Cited rate · share of voice · engine consensus · sentiment, broken out by buyer-journey stage. Sentiment is the net positive−negative skew across engines that cited the brand at this stage.
datarails.com is a B2B FP&A SaaS with strong AI-citation inputs from G2 (312 reviews) and first-party competitor comparison pages (e.g., Cube vs Datarails). The highest-ROI fix is to strengthen Structured Data + Technical AEO for evaluation queries (SoftwareApplication/FAQPage/aggregateRating) and ensure pricing is crawlable with specific tiers (not just “annual + implementation” messaging).
Based on audit of datarails.com · May 10, 2026