AI Visibility
measured31/100
Emerging · in Marketing Analytics
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals3/100
Weak fundamentals
Avg Prompt Score
33
across 415 prompts
AI Share of Voice
33%
across 415 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Marketing Analytics
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.
Categories CallRail is visible in
2Executive summary
CallRail is highly likely to be cited by AI engines for evaluation-stage queries because it has strong G2 presence (1,835 reviews) and publicly crawlable pricing with explicit tiers. The biggest remaining citation risk is structured evaluation content: while CallRail publishes “alternatives” and comparison-style pages, there’s no clear evidence (from live search) of SoftwareApplication/FAQPage schema coverage for evaluation queries, which can limit direct inclusion in AI Overviews.
Based on audit of callrail.com · Oct 5, 2026