AI Visibility
measured18/100
Emerging · in AI Recruiting
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
3
across 370 prompts
AI Share of Voice
3%
across 370 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in AI Recruiting
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.
HiPeople is a B2B HR/recruiting SaaS (AI screening, assessments, interviews, and reference checks) and already has strong AI-citation inputs from G2 (1,067 reviews) plus secondary corroboration on Capterra (4.8) and TrustRadius (profile exists). The biggest risk for AI engines is evaluation-stage citation for “pricing” and “brand vs competitor” queries when first-party pricing/structured evaluation content is not consistently crawlable/SSR-friendly—highest-ROI fix is to ensure pricing + key evaluation pages are fully crawlable and schema-complete (SoftwareApplication/FAQPage/Product+Offer) across the canonical domain.
Based on audit of hipeople.io · Sep 1, 2026