AI Visibility
measured39/100
Emerging · in Marketing Analytics
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals11/100
Weak fundamentals
Avg Prompt Score
38
across 411 prompts
AI Share of Voice
38%
across 411 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Marketing Analytics
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.
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.
Categories AppsFlyer is visible in
2Executive summary
AppsFlyer is highly likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review presence (e.g., 779 G2 reviews) and Gartner Peer Insights coverage. The single highest-ROI fix is to strengthen first-party evaluation content for “AppsFlyer vs competitor” and “AppsFlyer pricing” queries with crawlable, schema-rich pages (especially FAQPage + SoftwareApplication/Offer), so AI can cite AppsFlyer directly rather than defaulting to G2/TrustRadius.
Based on audit of appsflyer.com · Oct 7, 2026