AI Visibility
measured25/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals71/100
Solid fundamentals
Avg Prompt Score
20
across 123 prompts
AI Share of Voice
13%
across 106 prompts
Critical Issues
2
critical + high
How AI Visibility breaks down
in AI Applications
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.
MathWorks is highly likely to be cited by AI engines for brand-aware and trust queries (e.g., “MathWorks reviews”, “Is MATLAB worth it”) because it has strong third-party review presence on G2 and substantial first-party customer-story proof with quantified outcomes. The biggest citation risk is evaluation-stage “vs/alternatives/pricing” queries where AI needs crawlable, structured evaluation content (first-party comparison pages and SoftwareApplication/FAQPage schema) and where pricing may be partially gated by account/region flows.
Based on audit of mathworks.com · Oct 9, 2026