AI Visibility
measured18/100
Emerging · in E-commerce Platforms
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals55/100
Some gaps
Avg Prompt Score
2
across 507 prompts
AI Share of Voice
2%
across 507 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in E-commerce Platforms
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.
Trainerize is likely to be cited for evaluation-stage queries because it has a meaningful G2 review footprint (170 reviews on G2) and a publicly crawlable pricing page with specific tiers. The highest-ROI fix is to strengthen first-party evaluation surfaces (especially SoftwareApplication/FAQPage schema and brand-led comparison pages) so AI engines can cite Trainerize directly for “alternatives” and “vs” queries rather than relying on third-party review sites.
Based on audit of trainerize.com · Aug 9, 2026