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

14

Limited Presence

Avg Prompt Score

23

across 152 prompts

AI Share of Voice

23%

across 152 prompts

Category Visibility

#18

in Digital Advertising · of 83

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
83 category
Cited27%22/83
Share of voice16%avg
Engine consensus44%of engines
Competitors26.2avg/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 StackAdapt is visible in

1
  • Digital Advertising18 of 83→

Executive summary

StackAdapt is very likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review authority (e.g., 866 reviews on G2) and frequent, outcome-dense case studies with specific performance metrics. The single highest-ROI fix is to improve first-party evaluation surfaces for AI (especially SoftwareApplication/FAQPage structured Q&A and crawlable pricing/comparison content), because AI citation for “vs/alternatives/pricing” patterns depends on what it can reliably extract from stackadapt.com itself.

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

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