AI Visibility
measured53/100
Frequently Cited · in Business Intelligence
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals72/100
Solid fundamentals
Avg Prompt Score
79
across 596 prompts
AI Share of Voice
80%
across 578 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Business Intelligence
Composite = 60% coverage + 40% engine breadth, 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 Metabase is visible in
1Executive summary
Metabase is highly likely to be cited by AI engines for BI evaluation queries because it has strong primary review authority (G2: 140 reviews, 4.4★) and first-party comparison landing pages (e.g., Metabase vs. Looker / Tableau / Power BI). The biggest remaining citation risk is structured-data completeness (SoftwareApplication/FAQPage/ratings) and ensuring pricing + comparison content is fully crawlable/SSR for AI crawlers; the single highest-ROI fix is to add/verify SoftwareApplication + FAQPage schema across evaluation and pricing pages so models can confidently answer “how much does Metabase cost?” and “Metabase vs [competitor]” with first-party citations.
Based on audit of metabase.com · Apr 2, 2026