AI Visibility
measured56/100
Frequently Cited · in Video Conferencing
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals66/100
Solid fundamentals
Avg Prompt Score
63
across 793 prompts
AI Share of Voice
63%
across 793 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Video Conferencing
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.
RingCentral is highly likely to be cited by AI engines for evaluation and trust queries because it has strong third-party review/analyst signals (e.g., Gartner Peer Insights Customers’ Choice and active G2 presence) and publicly crawlable pricing tiers. The highest-ROI fix is to strengthen first-party evaluation surfaces (brand-led “[RingCentral] vs [Competitor]” pages with crawlable, self-contained answer blocks) and ensure SoftwareApplication/FAQPage structured data is present on those pages so AI engines can cite RingCentral directly for comparison and pricing prompts.
Based on audit of ringcentral.com · Apr 25, 2026