[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Ringcentral
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

66

Strong Presence

Avg Prompt Score

63

across 793 prompts

AI Share of Voice

63%

across 793 prompts

Category Visibility

#8

in Video Conferencing · of 58

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
493 category
Cited74%366/493
Share of voice66%avg
Engine consensus50%of engines
Competitors5.7avg/cited
Sentiment—no data
⚖️Evaluation
13 brand-level
Cited100%13/13
Share of voice100%avg
Engine consensus100%of engines
Competitors2.7avg/cited
Sentiment—no data
🛡️Trust
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus100%of engines
Competitors4.0avg/cited
Sentiment—no data
💰Conversion
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus100%of engines
Competitors1.6avg/cited
Sentiment—no data

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.

Categories Ringcentral is visible in

3
  • Contact Center3 of 72→
  • Video Conferencing8 of 58→
  • Team Messaging22 of 48→

Executive summary

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

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