AI Visibility
measured25/100
Emerging · in Data & Analytics
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals59/100
Some gaps
Avg Prompt Score
12
across 361 prompts
AI Share of Voice
12%
across 361 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Data & Analytics
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.
Quickbase is strongly positioned for AI citation in evaluation-stage queries because it has large G2 review volume (1,639 reviews on G2) and a meaningful LinkedIn authority signal (28,779 followers). The biggest risk pattern is conversion-stage “pricing” and evaluation-stage “structured comparison” queries: while pricing is publicly visible with tiered numbers, there’s no evidence (from live search) of SoftwareApplication/FAQPage structured data and first-party “Quickbase vs competitor” pages that are clearly indexed for AI comparison extraction.
Based on audit of quickbase.com · Aug 30, 2026