AI Visibility
measured89/100
Frequently Cited · in Vector Databases
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals—
Not audited yet
Avg Prompt Score
56
across 100 prompts
AI Share of Voice
56%
across 100 prompts
Shortlist Position
74/80
Leader · Vector Databases Discovery
How AI Visibility breaks down
in Vector Databases
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.
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.
Your visibility gap
PostgreSQL surfaces in 74/80 Vector Databases discovery prompts. Claim this profile to see which 6 prompts you're missing and how to win them.
PostgreSQL surfaces in 74 of 80 Vector Databases discovery prompts across AI engines. This data is pre-computed from category prompt runs — run a full audit to generate detailed recommendations.
Based on audit of postgresql.org · Aug 28, 2026