AI Visibility
measured41/100
Frequently Cited · in Developer Tools
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals67/100
Solid fundamentals
Avg Prompt Score
93
across 76 prompts
AI Share of Voice
100%
across 60 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Developer Tools
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
TestRail is strongly positioned for AI citation in evaluation-stage queries because it has substantial G2 review volume (611 reviews) and clear, public pricing pages with per-seat tiers. The biggest risk is conversion-stage citation for “TestRail pricing” and evaluation “TestRail vs competitor” queries if AI crawlers can’t reliably extract structured pricing/comparison content (and if SoftwareApplication/FAQPage schema is missing or incomplete).
Based on audit of testrail.com · Aug 30, 2026