AI Visibility
measured47/100
Frequently Cited · in Applicant Tracking
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals51/100
Some gaps
Avg Prompt Score
5
across 306 prompts
AI Share of Voice
5%
across 306 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Applicant Tracking
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.
Pinpoint is likely to be cited by AI engines for evaluation-stage queries because it has a strong G2 presence (159 reviews) and first-party comparison pages (e.g., Pinpoint vs Lever/Jobvite) that give AI a direct evaluation source. The single highest-ROI fix is to add crawlable, tiered public pricing (or at least a structured pricing page with extractable tiers) and implement B2B SoftwareApplication/FAQPage structured data so AI can answer conversion-stage questions without relying on quote-on-request pages.
Based on audit of pinpointhq.com · Aug 30, 2026