AI Visibility
measured88/100
Frequently Cited · in Vector Databases
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals6/100
Weak fundamentals
Avg Prompt Score
33
across 474 prompts
AI Share of Voice
33%
across 474 prompts
Critical Issues
5
critical + high
Shortlist Position
0/80
Not Visible · Data Warehouse 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
Zilliz Cloud surfaces in 0/80 Data Warehouse discovery prompts. Claim this profile to see which 80 prompts you're missing and how to win them.
Zilliz Cloud has strong B2B citation inputs from G2 (53 reviews, 4.7★) and active first-party comparison content for key competitors (e.g., Weaviate vs Zilliz on zilliz.com.cn). The biggest AI citation risk is evaluation-stage coverage for brand-aware competitor queries (e.g., “How does Zilliz Cloud compare to Pinecone?”) and conversion-stage crawlability for “How much does Zilliz Cloud cost?”—you need crawlable, SSR pricing + first-party “[Zilliz Cloud] vs Pinecone/Weaviate/Qdrant/Milvus/Chroma” pages on zilliz.com (not only docs or localized domains).
Based on audit of zilliz.com · May 6, 2026