AI Visibility
measured27/100
Emerging · in Video Editing
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals6/100
Weak fundamentals
Avg Prompt Score
14
across 405 prompts
AI Share of Voice
14%
across 405 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Video Editing
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.
Riverside.com is highly likely to be cited by AI engines for evaluation-stage queries because it has strong G2 presence (1,755+ reviews) and first-party pricing plus many first-party comparison pages (e.g., Riverside vs StreamYard/Zoom/Descript). The biggest risk pattern is conversion-stage “Riverside pricing” and evaluation-stage “Riverside vs competitor” where AI needs crawlable structured data (SoftwareApplication/FAQPage) and consistent SSR/crawlability—your pricing is crawlable, but schema/technical AEO signals are not confirmed from live search.
Based on audit of riverside.com · Oct 3, 2026