AI Visibility
measured46/100
Frequently Cited · in Digital Advertising
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals14/100
Weak fundamentals
Avg Prompt Score
29
across 153 prompts
AI Share of Voice
29%
across 153 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Digital Advertising
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.
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