AI Visibility
measured18/100
Emerging · in Image Generation
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals49/100
Some gaps
Avg Prompt Score
9
across 163 prompts
AI Share of Voice
9%
across 163 prompts
Critical Issues
2
critical + high
How AI Visibility breaks down
in Image Generation
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.
Hyperhuman is a B2B fitness content infrastructure SaaS with publicly crawlable pricing and a strong G2 presence (4 reviews, 4.9/5). The biggest AI-citation risk is evaluation-stage comparison coverage: while Hyperhuman has first-party “Hyperhuman vs …” content on its blog, there’s no evidence of first-party, indexable “[Hyperhuman] vs [Competitor]” comparison pages on the main domain structure that AI engines reliably use for shortlist answers.
Based on audit of hyperhuman.cc · Sep 29, 2026