AI Visibility
measured40/100
Frequently Cited · in Content Marketing
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals72/100
Solid fundamentals
Avg Prompt Score
40
across 423 prompts
AI Share of Voice
40%
across 398 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Content Marketing
Composite = 60% coverage + 40% engine breadth, 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.
MarketMuse is highly likely to be cited by AI engines for evaluation-stage prompts like “How does MarketMuse compare to Frase?” and “How much does MarketMuse cost?” because it has first-party comparison content and a publicly accessible pricing page with explicit tier prices. The single highest-ROI fix is to strengthen structured data (SoftwareApplication + FAQPage targeting evaluation queries) and ensure it’s actually implemented on the key indexable pages so AI engines can reliably extract product/pricing facts.
Based on audit of marketmuse.com · Apr 2, 2026