AI Visibility
measured22/100
Emerging · in Marketing
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
16
across 183 prompts
AI Share of Voice
16%
across 183 prompts
Critical Issues
2
critical + high
How AI Visibility breaks down
in Marketing
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.
Hypefury is likely to be cited by AI engines for creator/social-media scheduling queries because it has active G2 and Capterra review profiles and publicly crawlable pricing. The biggest risk for evaluation-stage citations is missing/unclear first-party structured evaluation assets (e.g., SoftwareApplication/FAQPage schema and robust comparison-page structure), which reduces the chance the brand is selected in “alternatives to X” and “what is X pricing” style answers.
Based on audit of hypefury.com · Oct 7, 2026