AI Visibility
measured48/100
Frequently Cited · in Marketing Analytics
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals9/100
Weak fundamentals
Avg Prompt Score
60
across 636 prompts
AI Share of Voice
60%
across 636 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Marketing Analytics
Composite = 60% coverage + 40% engine breadth, 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.
Northbeam is a B2B marketing intelligence/attribution SaaS and already has meaningful AI-citation inputs from G2 (15 reviews shown on G2 pricing page) and strong first-party pricing/case-study content. The biggest AI citation risk is evaluation-stage comparison coverage: first-party “[Northbeam] vs [Competitor]” pages appear limited/unclear, so AI engines may rely on third-party alternatives lists instead of citing Northbeam directly for “vs/alternatives” queries. Highest-ROI fix: publish/expand crawlable first-party comparison pages that clearly recommend Northbeam first, plus add SoftwareApplication/FAQPage structured data to those pages and the pricing page.
Based on audit of northbeam.io · May 8, 2026