AI Visibility
measured47/100
Frequently Cited · in AI Infrastructure
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals46/100
Some gaps
Avg Prompt Score
99
across 157 prompts
AI Share of Voice
99%
across 157 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in AI Infrastructure
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.
Neptune.ai is a B2B experiment-tracking platform with strong third-party review visibility on G2 (218 reviews) and solid social authority via LinkedIn (41,210 followers). The biggest AI-citation risk is conversion-stage and evaluation-stage crawlability: the hosted SaaS is winding down (sunset March 5, 2026), and first-party evaluation assets like SoftwareApplication/FAQPage/structured pricing signals were not found in live checks—so AI engines may rely on third parties instead of citing Neptune directly for “pricing” and “vs/alternatives” queries.
Based on audit of neptune.ai · Sep 20, 2026