AI Visibility
measured75/100
Frequently Cited · in Sales Intelligence
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals62/100
Some gaps
Avg Prompt Score
89
across 448 prompts
AI Share of Voice
90%
across 432 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Sales Intelligence
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.
LinkedIn is highly likely to be cited by AI engines for B2B evaluation queries around its paid products (especially Sales Navigator) because it has strong third-party review coverage (e.g., G2 shows 2,160 reviews for LinkedIn Sales Navigator with a 4.4/5 rating). The single highest-ROI fix is to improve AI-crawlability for evaluation content on linkedin.com (notably robots/LLM access and SSR visibility), because AI engines can only cite what they can reliably read.
Based on audit of linkedin.com · May 6, 2026