AI Visibility
measured73/100
Frequently Cited · in Business Intelligence
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals66/100
Solid fundamentals
Avg Prompt Score
38
across 519 prompts
AI Share of Voice
37%
across 501 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Business Intelligence
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.
Tableau is highly likely to be cited by AI engines for evaluation-stage BI queries because it has strong G2 authority (3544 reviews, 4.4★) and first-party comparison content for at least Microsoft Power BI (e.g., /compare/tableau-vs-power-bi). The single highest-ROI fix is to expand/standardize first-party comparison pages for the full competitor set (Power BI, Qlik Sense, Looker, Amazon QuickSight, ThoughtSpot) and ensure they are crawlable with evaluation-intent FAQ blocks and structured data.
Based on audit of tableau.com · Apr 2, 2026