AI Visibility
measured42/100
Frequently Cited · in Contact Center
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals7/100
Weak fundamentals
Avg Prompt Score
19
across 422 prompts
AI Share of Voice
19%
across 422 prompts
Critical Issues
2
critical + high
How AI Visibility breaks down
in Contact Center
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.
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