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ProductCitation IndexAI InfluenceBlogBook
[unCited]/User Interviews
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

6

Limited Presence

Avg Prompt Score

26

across 385 prompts

AI Share of Voice

26%

across 385 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
252 category
Cited33%83/252
Share of voice32%avg
Engine consensus63%of engines
Competitors6.0avg/cited
Sentiment—no data
⚖️Evaluation
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited100%4/4
Share of voice100%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 User Interviews is visible in

2
  • Feedback Managementnot yet measured→
  • Survey Toolsnot yet measured→

Executive summary

User Interviews is strongly positioned for AI citation in evaluation-stage queries because it has a large G2 presence (1,046 reviews, 4.6/5, Grid® leader) and a first-party comparison hub page. The highest-risk query pattern is conversion/evaluation queries that require crawlable, tiered pricing and structured product metadata (SoftwareApplication/FAQPage); the single highest-ROI fix is to ensure pricing + key evaluation pages are fully crawlable/SSR and backed by SoftwareApplication + FAQPage schema so AI engines can quote pricing and features reliably.

Based on audit of userinterviews.com · May 7, 2026

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