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

7

Limited Presence

Avg Prompt Score

18

across 419 prompts

AI Share of Voice

18%

across 419 prompts

Category Visibility

#24

in Contact Center · of 153

Critical Issues

2

critical + high

Per-stage performance

🔍Discovery
217 category
Cited18%39/217
Share of voice14%avg
Engine consensus40%of engines
Competitors12.5avg/cited
Sentiment—no data
⚖️Evaluation
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/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 Nextiva is visible in

3
  • Contact Center24 of 153→
  • Video Conferencing33 of 89→
  • Team Messaging41 of 70→

Executive summary

Nextiva is highly likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review presence (notably G2 and Gartner Peer Insights) and first-party comparison content (e.g., Nextiva vs Five9, Nextiva vs RingCentral). The single highest-ROI fix is to strengthen Technical AEO by ensuring crawlable, SSR-friendly structured data (SoftwareApplication/FAQPage/aggregateRating) and bot-access verification—right now schema evidence is not discoverable via search, which can limit AI’s ability to extract product/pricing facts.

Based on audit of nextiva.com · Jun 6, 2026

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