AI Visibility
measured36/100
Emerging · in Team Messaging
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals3/100
Weak fundamentals
Avg Prompt Score
23
across 385 prompts
AI Share of Voice
23%
across 385 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Team Messaging
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.
Staffbase is strongly positioned for AI citation in evaluation-stage queries because it has substantial G2 review volume (247 reviews) and a Gartner Peer Insights presence, plus first-party “Staffbase vs …” comparison content. The biggest citation risk is conversion-stage queries: the Staffbase pricing page is quote-based (“Get a quote”) rather than showing public tiers/prices, which limits AI engines’ ability to answer “Staffbase pricing” directly from first-party content.
Based on audit of staffbase.com · Jun 9, 2026