AI Visibility
measured41/100
Frequently Cited · in Data Warehouse
measured from this brand's audit prompts
AEO Readiness
fundamentals36/100
Weak fundamentals
Avg Prompt Score
1
across 523 prompts
AI Share of Voice
1%
across 523 prompts
Critical Issues
5
critical + high
Shortlist Position
0/80
Not Visible · Data Warehouse Discovery
How AI Visibility breaks down
in Data Warehouse
Composite = 50% coverage + 30% engine breadth + 20% position, measured across this brand's own audit prompts (it isn't in a tracked category rollup yet). 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 Prisma is visible in
2Your visibility gap
Prisma surfaces in 0/80 Data Warehouse discovery prompts. Claim this profile to see which 80 prompts you're missing and how to win them.
Executive summary
prisma.io is a B2B developer/data platform brand, but it is not currently positioned to be cited for Data Warehouse buyer queries (e.g., “best data warehouse software for startups” and “data warehouse solutions for healthcare organizations”). The single highest-ROI fix is to publish first-party, evaluation-stage pages that explicitly map Prisma Postgres/data platform capabilities to data-warehouse JTBD (BI, analytics, accessibility, industry compliance) and add structured Q&A (FAQPage) + SoftwareApplication schema so AI engines can cite it for those shortlist-forming questions.
Based on audit of prisma.io · May 7, 2026