AI Visibility
measured42/100
Frequently Cited · in Data & Analytics
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals74/100
Solid fundamentals
Avg Prompt Score
98
across 208 prompts
AI Share of Voice
100%
across 191 prompts
Critical Issues
3
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.
Executive summary
Databox is strongly positioned to be cited by AI engines for evaluation-stage queries like “Databox vs Tableau/Power BI” and “Databox pricing,” supported by a sizable G2 footprint (194 reviews, 4.4 rating) and crawlable first-party pricing. The single highest-ROI fix is to strengthen structured-data coverage for B2B evaluation queries (SoftwareApplication/FAQPage/aggregateRating) so AI Overviews and LLMs can extract product facts and pricing reliably from databox.com itself.
Based on audit of databox.com · Oct 7, 2026