AI Visibility
measured18/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals56/100
Some gaps
Avg Prompt Score
7
across 269 prompts
AI Share of Voice
4%
across 253 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in AI Applications
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.
Zephyr (getzephyr.com) is a B2B test management product, and it already has strong third-party review visibility (e.g., G2 and Gartner Peer Insights for SmartBear Zephyr Enterprise). The biggest AI-citation risk is conversion-stage evaluation queries that require crawlable first-party pricing/comparison content—your domain redirects to SmartBear and pricing/comparison crawlability on getzephyr.com is unclear, so AI engines may avoid citing it for “pricing” and “vs/alternatives” evaluation prompts.
Based on audit of getzephyr.com · Aug 29, 2026