AI Visibility
measured59/100
Frequently Cited · in Device Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals18/100
Weak fundamentals
Avg Prompt Score
39
across 526 prompts
AI Share of Voice
39%
across 526 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Device Management
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.
NinjaOne is highly likely to be cited by AI engines for evaluation-stage queries because it has very strong third-party review authority (e.g., 5,038 G2 reviews) and enterprise credibility signals (Gartner Peer Insights + Gartner Magic Quadrant mention). The single highest-ROI fix is to strengthen Technical AEO/Structured Data: add/verify SoftwareApplication + FAQPage + pricing/offer schema so AI engines can reliably extract product/pricing facts from ninjaone.com itself (not just from G2/other sources).
Based on audit of ninjaone.com · Oct 8, 2026