AI Visibility
measured52/100
Frequently Cited · in Product Analytics
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals16/100
Weak fundamentals
Avg Prompt Score
62
across 606 prompts
AI Share of Voice
62%
across 606 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Product Analytics
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.
Contentsquare is very likely to be cited by AI engines for evaluation-stage queries because it has strong G2 presence (2,056 reviews, 4.4/5) and an active Gartner Peer Insights listing. The single highest-ROI fix is to strengthen first-party evaluation surfaces (SoftwareApplication/FAQPage + clearer, crawlable pricing + more explicit “[Contentsquare] vs [competitor]” pages) so AI can cite your own pages instead of relying mainly on G2/analyst sources.
Based on audit of contentsquare.com · May 7, 2026