AI Visibility
measured16/100
Emerging · in Marketing Analytics
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
7
across 305 prompts
AI Share of Voice
7%
across 305 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Marketing 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.
MonsterInsights is likely to be cited by AI engines for “best WordPress analytics plugin” and “MonsterInsights vs [competitor]” style queries because it has strong third-party review presence (e.g., G2 and Capterra) and a clearly crawlable pricing page with explicit tiers. The highest-ROI fix is to add/ensure crawlable, first-party evaluation content that directly targets AI answer patterns (FAQPage + explicit “what it is / who it’s for / pricing / integrations” blocks) and to ensure structured data is actually present on key product/pricing pages (not just discussed in blog posts).
Based on audit of monsterinsights.com · Aug 31, 2026