AI Visibility
measured43/100
Frequently Cited · in Data & Analytics
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals57/100
Some gaps
Avg Prompt Score
96
across 177 prompts
AI Share of Voice
100%
across 161 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Data & 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.
Per-stage performance
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 Google Data Studio is visible in
1Executive summary
datastudio.google.com is likely to be cited for discovery and “how to use” style queries (it has strong third-party review presence on G2 and active Reddit discussions), but it is weak for evaluation/conversion queries where AI needs crawlable first-party pricing and structured evaluation content. The single highest-ROI fix is to ensure first-party, crawlable evaluation surfaces exist on the audited domain (especially pricing + comparison/FAQ blocks) so AI can cite datastudio.google.com directly for “pricing/cost” and “vs/alternatives” patterns.
Based on audit of datastudio.google.com · Aug 29, 2026