AI Visibility
measured25/100
Emerging · in IT & Service Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals54/100
Some gaps
Avg Prompt Score
77
across 32 prompts
AI Share of Voice
100%
across 15 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in IT & Service Management
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.
Executive summary
Kaseya is highly likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review presence (e.g., thousands of G2 reviews across Kaseya products) and appears on Gartner review surfaces. The single highest-ROI fix is to strengthen first-party evaluation content for AI (especially SoftwareApplication/FAQPage structured data and crawlable pricing + comparison surfaces), because AI conversion-stage queries often fail when pricing and structured evaluation signals aren’t directly extractable from kaseya.com.
Based on audit of kaseya.com · Sep 30, 2026