AI Visibility
measured56/100
Frequently Cited · in Feature Flags
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals74/100
Solid fundamentals
Avg Prompt Score
32
across 769 prompts
AI Share of Voice
31%
across 749 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Feature Flags
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.
Statsig is highly likely to be cited by AI engines for evaluation-stage queries because it has strong G2 authority (346 reviews, 4.7★) and first-party comparison pages like /vs/posthog and /vs/launchdarkly. The single highest-ROI fix is to strengthen structured evaluation surfaces (SoftwareApplication + FAQPage for the exact evaluation prompts) so models can cite Statsig directly for “best feature management software” and “How does Statsig compare to …” queries without relying on third-party sources.
Based on audit of statsig.com · Apr 2, 2026