AI Visibility
measured18/100
Emerging · in ERP & Supply Chain
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals42/100
Some gaps
Avg Prompt Score
4
across 369 prompts
AI Share of Voice
4%
across 369 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in ERP & Supply Chain
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.
nira.com is a B2B Data Access Governance SaaS and already has meaningful G2 visibility (37 reviews, ~4.7/5). The biggest AI-citation risk is evaluation-stage conversion queries like “nira pricing” and “nira vs competitor” because the site’s first-party comparison/pricing surfaces are not clearly crawlable/structured for AI, forcing models to rely on third-party sources.
Based on audit of nira.com · Aug 30, 2026