AI Visibility
measured18/100
Emerging · in AI Infrastructure
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
9
across 165 prompts
AI Share of Voice
9%
across 165 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in AI Infrastructure
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.
ScyllaDB is strongly positioned for AI citation in evaluation-stage queries because it has a first-party comparison hub (e.g., /compare/) and a publicly accessible pricing page with transparent tiering plus a pricing calculator. The biggest remaining citation risk is structured-data/AI-crawlability for B2B evaluation (SoftwareApplication/FAQPage/ratings) and enterprise analyst signals (Gartner/Forrester/IDC), which are not evidenced in the live checks.
Based on audit of scylladb.com · Oct 9, 2026