AI Visibility
measured72/100
Frequently Cited · in HRIS
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals63/100
Some gaps
Avg Prompt Score
58
across 1061 prompts
AI Share of Voice
58%
across 1061 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in HRIS
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.
Rippling is highly likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review authority (G2 + Gartner Peer Insights) and substantial LinkedIn presence. The single highest-ROI fix is to make pricing and key evaluation content more AI-crawlable (current pricing flow is quote/contact-gated), so models can cite first-party pricing and comparison answers instead of relying on third parties.
Based on audit of rippling.com · Apr 27, 2026