AI Visibility
measured22/100
Emerging · in Marketing
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals53/100
Some gaps
Avg Prompt Score
8
across 294 prompts
AI Share of Voice
8%
across 294 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Marketing
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.
NinjaCat is a B2B marketing analytics/AI agent platform with strong AI-citation inputs from G2 (316 reviews, 4.2/5). The biggest risk to appearing in evaluation/conversion answers is that pricing is not clearly published as tiered public pricing (it repeatedly routes to “Request a demo”), and there’s no evidence of first-party “[Brand] vs [Competitor]” pages on ninjacat.io that AI can cite for comparison queries.
Based on audit of ninjacat.io · Oct 8, 2026