AI Visibility
measured40/100
Frequently Cited · in Data & Analytics
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals62/100
Some gaps
Avg Prompt Score
88
across 29 prompts
AI Share of Voice
100%
across 20 prompts
Critical Issues
5
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.
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.
Executive summary
JMP is already strongly cited for evaluation-stage queries via high-authority review sources (e.g., G2 shows 214 reviews at 4.5★). The biggest AI-citation risk is conversion-stage and evaluation-stage query coverage on jmp.com itself—specifically first-party comparison pages for queries like "How does JMP compare to Spotfire Analytics?" and "How does JMP compare to Minitab Statistical Software?" plus crawlable, tiered pricing content that AI can read.
Based on audit of jmp.com · Aug 29, 2026