AI Visibility
measured16/100
Emerging · in Feature Flags
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
9
across 143 prompts
AI Share of Voice
9%
across 143 prompts
Critical Issues
6
critical + high
How AI Visibility breaks down
in Feature Flags
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.
Per-stage performance
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.
Categories Hypertune is visible in
1Executive summary
Hypertune is a B2B feature-flagging/experimentation SaaS with a small but strong G2 footprint (7 reviews, 4.8/5). The biggest AI-citation risk is evaluation-stage coverage: Hypertune has first-party competitor comparison content (e.g., a “Hypertune vs the competition” page) but there’s no evidence of SoftwareApplication/FAQPage structured data and no evidence of analyst/enterprise review presence (Gartner Peer Insights / Magic Quadrant). Highest-ROI fix: add/verify SoftwareApplication + FAQPage schema on key evaluation pages and expand first-party “[Hypertune] vs [Competitor]” pages that clearly recommend Hypertune for specific buyer queries.
Based on audit of hypertune.com · Oct 5, 2026