AI Visibility
measured17/100
Emerging · in Contact Center
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
63
across 18 prompts
AI Share of Voice
100%
across 2 prompts
Critical Issues
3
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.
Per-stage performance
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.
Executive summary
Avaya is likely to be cited by AI engines for evaluation and trust queries because it has strong third-party review presence (e.g., G2) and substantial first-party customer story content with measurable outcomes. The biggest risk is conversion-stage citation: first-party evaluation/comparison surfaces and structured-data support (SoftwareApplication/FAQPage) appear thin or not easily discoverable by AI crawlers, which can reduce citation for “Avaya pricing” and “Avaya vs competitor” queries.
Based on audit of avaya.com · Aug 29, 2026