AI Visibility
measured23/100
Emerging · in Performance Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals2/100
Weak fundamentals
Avg Prompt Score
13
across 328 prompts
AI Share of Voice
13%
across 328 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Performance 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.
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.
pave.com is a B2B compensation management SaaS with strong AI-citation inputs from G2 (46 reviews, 4.7/5) and active evaluation content (pricing page + multiple product pages). The biggest risk for AI engines is conversion-stage citation accuracy: pricing is publicly crawlable but appears to be CTA/plan-description heavy (not clearly extractable tier pricing), and there’s no clear first-party “[Pave] vs [Competitor]” comparison surface on pave.com itself.
Based on audit of pave.com · Sep 5, 2026