AI Visibility
measured87/100
Frequently Cited · in Vector Databases
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals17/100
Weak fundamentals
Avg Prompt Score
39
across 713 prompts
AI Share of Voice
39%
across 713 prompts
Critical Issues
7
critical + high
Shortlist Position
22/80
Niche · Ai Infrastructure 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.
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
Qdrant surfaces in 22/80 Ai Infrastructure discovery prompts. Claim this profile to see which 58 prompts you're missing and how to win them.
Qdrant has strong third-party citation anchors via G2 (12 reviews, 4.5/5) and a publicly crawlable pricing page with explicit tiers (Free/Standard/Premium). The biggest AI citation risk is evaluation-stage comparison and pricing Q&A coverage: you need first-party, crawlable pages that directly answer “How does Qdrant compare to Pinecone?” / “Weaviate?” and “How much does Qdrant cost?” with structured Q&A blocks and comparison tables.
Based on audit of qdrant.tech · May 7, 2026