AI Visibility
measured25/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals39/100
Weak fundamentals
Avg Prompt Score
17
across 169 prompts
AI Share of Voice
17%
across 169 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in AI Applications
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 Pipl is visible in
1Executive summary
Pipl is likely to be cited by AI engines for evaluation-stage queries because it has a G2 presence (44 reviews shown on G2) and a LinkedIn company page, but it is at high risk of being omitted from conversion-stage answers (pricing) and first-party evaluation comparisons. The single highest-ROI fix is to publish/SSR a crawlable first-party pricing page and add SoftwareApplication/FAQPage structured data so AI can quote pricing and evaluation details directly from pipl.com.
Based on audit of pipl.com · Sep 1, 2026