[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Usertesting
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

66

Strong Presence

Avg Prompt Score

33

across 1037 prompts

AI Share of Voice

33%

across 1014 prompts

Category Visibility

#35

in Product Experience · of 73

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
680 category
Cited48%326/680
Share of voice43%avg
Engine consensus48%of engines
Competitors6.8avg/cited
Sentiment—no data
⚖️Evaluation
16 brand-level
Cited13%2/16
Share of voice13%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
🛡️Trust
6 brand-level
Cited33%2/6
Share of voice33%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
💰Conversion
7 brand-level
Cited29%2/7
Share of voice29%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data

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 Usertesting is visible in

4
  • UI/UX Design7 of 108→
  • Product Experience34 of 73→
  • Customer Experience47 of 192→
  • Feedback Management62 of 179→

Executive summary

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

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