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

7

Limited Presence

Avg Prompt Score

28

across 467 prompts

AI Share of Voice

28%

across 467 prompts

Category Visibility

#38

in Feedback Management · of 288

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
275 category
Cited37%103/275
Share of voice33%avg
Engine consensus39%of engines
Competitors6.3avg/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 AskNicely is visible in

3
  • Survey Tools34 of 142→
  • Feedback Management38 of 288→
  • Customer Success92 of 175→

Executive summary

AskNicely is strongly positioned to be cited by AI engines for evaluation-stage queries because it has a large G2 review footprint (1,050 reviews, 4.7/5) and a publicly crawlable pricing page with tier structure. The single highest-ROI fix is to add/verify B2B SoftwareApplication + AggregateRating/FAQPage structured data on product/pricing pages (currently not evidenced in search), because that directly improves Google AI Overviews and other LLM answer extraction for “pricing” and “what is/compare” prompts.

Based on audit of asknicely.com · Jun 6, 2026

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