AI Visibility
measured46/100
Frequently Cited · in Marketing Analytics
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals10/100
Weak fundamentals
Avg Prompt Score
47
across 488 prompts
AI Share of Voice
47%
across 488 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Marketing Analytics
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.
Rockerbox is a B2B marketing measurement/attribution SaaS and is already cited by AI engines via strong G2 presence (47 reviews, 4.6/5) and Microsoft AppSource listing. The biggest AI citation risk is evaluation-stage “vs/alternatives/pricing” queries: the site appears to rely heavily on demo/contact flows and does not show clear first-party, crawlable pricing tiers or SoftwareApplication/FAQPage structured evaluation surfaces in the live signals gathered.
Based on audit of rockerbox.com · May 8, 2026