AI Visibility
measured18/100
Emerging · in Vector Databases
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals56/100
Some gaps
Avg Prompt Score
8
across 164 prompts
AI Share of Voice
8%
across 164 prompts
Critical Issues
5
critical + high
Shortlist Position
0/80
Not Visible · Data Warehouse Discovery
How AI Visibility breaks down
in Vector Databases
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 CrateDB is visible in
1Your visibility gap
CrateDB surfaces in 0/80 Data Warehouse discovery prompts. Claim this profile to see which 80 prompts you're missing and how to win them.
Executive summary
CrateDB has strong AI-citation foundations for evaluation queries via G2 (85 reviews, 4.4★) and visible first-party product positioning on crate.io/cratedb.com. The biggest blocker for AI shortlist inclusion is missing/weak first-party evaluation surfaces for Data Warehouse discovery prompts (e.g., “best data warehouse software for startups”) and likely thin structured-data coverage for evaluation/pricing extraction.
Based on audit of crate.io · Sep 1, 2026