AI Visibility
measured18/100
Emerging · in ERP
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals64/100
Some gaps
Avg Prompt Score
63
across 9 prompts
AI Share of Voice
100%
across 1 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in ERP
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.
Netgain is a B2B lease accounting SaaS brand with strong AI-citation inputs from G2 (187 reviews, 4.8★) and first-party evaluation content like a NetLease vs FinQuery comparison blog. The biggest risk for AI engines is conversion-stage citation for pricing and evaluation-stage citation for competitor-specific queries (e.g., Visual Lease, LeaseAccelerator, LeaseCrunch, Trullion) due to missing/uncrawlable structured evaluation surfaces (SoftwareApplication/FAQPage) and lack of clearly indexed first-party comparison pages for those exact competitors.
Based on audit of netgain.tech · Sep 10, 2026