AI Visibility
measured72/100
Frequently Cited · in Data Warehouse
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals71/100
Solid fundamentals
Avg Prompt Score
38
across 488 prompts
AI Share of Voice
38%
across 488 prompts
Critical Issues
3
critical + high
Brand Accuracy
1/556
citations with inaccuracies
How AI Visibility breaks down
in Data Warehouse
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.
Snowflake is highly likely to be cited by AI engines for evaluation and trust queries because it has strong third-party review authority (e.g., 484 TrustRadius reviews and 4.7/5 on Capterra) and an active Gartner Peer Insights presence. The single highest-ROI fix is to strengthen first-party, crawlable evaluation content for conversion-stage prompts—especially pricing and Snowflake-vs-competitor comparison pages that directly answer the exact query strings (e.g., “How does Snowflake compare to Databricks?” and “How much does Snowflake cost?”).
Based on audit of snowflake.com · Oct 18, 2026