AI Visibility
measured44/100
Frequently Cited · in Product Experience
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals66/100
Solid fundamentals
Avg Prompt Score
34
across 1063 prompts
AI Share of Voice
35%
across 1040 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Product Experience
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.
UserTesting is highly likely to be cited for evaluation-stage queries because it has first-party competitor comparison pages (e.g., UserTesting vs. Maze, UserTesting vs. dScout) and a crawlable plans/pricing surface. The biggest remaining citation risk is that pricing is not clearly transparent with public tier prices (it repeatedly says “Request pricing”), which weakens direct-answer eligibility for “How much does UserTesting cost?” and “best user research software” shortlist rationales.
Based on audit of usertesting.com · Apr 2, 2026