AI Visibility
measured97/100
Frequently Cited · in Vector Databases
AEO Readiness
fundamentals26/100
Weak fundamentals
Avg Prompt Score
54
across 781 prompts
AI Share of Voice
54%
across 781 prompts
Critical Issues
5
critical + high
Shortlist Position
41/80
Challenger · Ai Infrastructure 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.
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 Weaviate is visible in
2Your visibility gap
Weaviate surfaces in 41/80 Ai Infrastructure discovery prompts. Claim this profile to see which 39 prompts you're missing and how to win them.
Executive summary
Weaviate is already visible for AI infrastructure discovery queries (e.g., research scientists and cloud architects) and has crawlable, tiered pricing plus multiple case studies. The biggest citation risk is evaluation-stage coverage for the specific buyer personas you listed (CRO, CFO, VP Eng, Systems Admin, etc.)—you need persona- and outcome-dense pages that answer those exact questions so AI engines can cite first-party content instead of only general vector-database explanations.
Based on audit of weaviate.io · May 5, 2026