AI Visibility
measured16/100
Emerging · in HR
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
8
across 161 prompts
AI Share of Voice
8%
across 161 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in HR
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.
AIHR is likely to be cited for HR upskilling and “AI in HR” learning queries because it has strong third-party review presence on G2 (32 reviews, 4.8/5) and clear, crawlable pricing with public tiers on its own site. The biggest citation risk is evaluation-stage “AIHR vs competitor/alternatives” and conversion-stage “AIHR pricing” where AI engines need structured evaluation signals (SoftwareApplication/FAQPage) and first-party comparison surfaces; the highest-ROI fix is to add/expand structured evaluation schema (SoftwareApplication + FAQPage) and ensure comparison pages are clearly brand-led.
Based on audit of aihr.com · Oct 9, 2026