AI Visibility
measured18/100
Emerging · in Applicant Tracking
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals48/100
Some gaps
Avg Prompt Score
12
across 206 prompts
AI Share of Voice
12%
across 206 prompts
Critical Issues
5
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.
Hyperise is a B2B personalization SaaS with a meaningful G2 footprint (19 reviews, 4.4★), so it can be cited for evaluation and trust queries. The biggest AI citation risk is conversion-stage coverage: first-party crawlable comparison pages for queries like "How does Hyperise compare to Omnisend?" and "How does Hyperise compare to Klaviyo?" appear missing, and pricing crawlability on hyperise.com could not be verified from live search results—so AI engines may rely on third-party pricing instead of citing Hyperise directly.
Based on audit of hyperise.com · Oct 9, 2026