AI Visibility
measured72/100
Frequently Cited · in Vector Databases
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals47/100
Some gaps
Avg Prompt Score
61
across 228 prompts
AI Share of Voice
61%
across 228 prompts
Critical Issues
5
critical + high
Shortlist Position
38/80
Challenger · Vector Databases 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
Chroma surfaces in 38/80 Vector Databases discovery prompts. Claim this profile to see which 42 prompts you're missing and how to win them.
Chroma is already visible for several discovery prompts and has a publicly crawlable pricing page with specific tiers/usage, which supports conversion-stage citation. The biggest AI citation risk is evaluation-stage comparison coverage: there are no first-party “[Brand] vs Pinecone/Qdrant/Weaviate” pages found, so models must rely on third-party comparisons for queries like “How does Chroma compare to Pinecone?” and “What are the best alternatives to Chroma?”. Highest-ROI fix: publish indexed, SSR first-party comparison pages that lead with Chroma and include dedicated sections answering “How does Chroma compare to Pinecone?”, “How does Chroma compare to Qdrant?”, and “How does Chroma compare to Weaviate?”.
Based on audit of trychroma.com · May 7, 2026