AI Visibility
measured25/100
Emerging · in Wiki & Docs
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals62/100
Some gaps
Avg Prompt Score
100
across 14 prompts
AI Share of Voice
100%
across 14 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Wiki & Docs
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 Testpad is visible in
1Executive summary
Testpad is well-positioned to be cited for evaluation-stage queries because it has first-party comparison content (e.g., Testpad vs TestRail and Testpad vs Qase) and publicly crawlable pricing with explicit tiers. The single highest-ROI fix is to strengthen structured data for B2B software (SoftwareApplication + FAQPage for evaluation queries) and ensure it’s present in crawlable HTML so AI engines can reliably extract it for “How much does Testpad cost?” and “How does Testpad compare to TestRail/Qase?” answers.
Based on audit of testpad.com · Oct 7, 2026