AI Visibility
measured25/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals63/100
Some gaps
Avg Prompt Score
100
across 16 prompts
AI Share of Voice
100%
across 16 prompts
Critical Issues
3
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.
testRigor is strongly positioned for AI software testing evaluation because it has a high-rated G2 presence (20 reviews, 4.7★) and first-party comparison content for key competitor names. The biggest AI-citation risk is conversion-stage queries like "How much does testRigor cost?" because pricing appears to be plan-based with "Custom Pricing" for enterprise and may not be fully crawlable as tiered public pricing.
Based on audit of testrigor.com · Aug 30, 2026