AI Visibility
measured37/100
Emerging · in UI/UX Design
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals4/100
Weak fundamentals
Avg Prompt Score
15
across 331 prompts
AI Share of Voice
15%
across 331 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in UI/UX Design
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.
Supernova.io is likely to be cited by AI engines for evaluation-stage queries because it has a live, crawlable first-party pricing page with explicit tiers ($35/month Pro editor seat; free tier; enterprise custom) and multiple first-party comparison pages (e.g., Supernova vs zeroheight). The biggest citation risk is Structured Data: no evidence was found (via search) of SoftwareApplication/FAQPage/aggregateRating schema on key pages, which can reduce eligibility for Google AI Overviews and rich evaluation answers.
Based on audit of supernova.io · Oct 5, 2026