AI Visibility
measured54/100
Frequently Cited · in Data & Analytics
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals72/100
Solid fundamentals
Avg Prompt Score
99
across 480 prompts
AI Share of Voice
100%
across 463 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Data & Analytics
Composite = 60% coverage + 40% engine breadth, 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.
Per-stage performance
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.
Executive summary
Sigma Computing is highly likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review presence (G2 500+ reviews) and first-party comparison pages (e.g., Sigma vs Tableau, Sigma vs ThoughtSpot). The single highest-ROI fix is to publish crawlable, self-serve pricing (or explicit pricing ranges) on first-party pages—right now pricing appears to be quote/contact-led, which weakens conversion-stage citations.
Based on audit of sigmacomputing.com · Jun 7, 2026