[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/LinkedIn Sales Navigator
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

62

Growing Presence

Avg Prompt Score

98

across 315 prompts

AI Share of Voice

100%

across 299 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
238 category
Cited100%238/238
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
8 brand-level
Cited88%7/8
Share of voice88%avg
Engine consensus100%of engines
Competitors2.1avg/cited
Sentiment—no data
🛡️Trust
6 brand-level
Cited100%6/6
Share of voice100%avg
Engine consensus100%of engines
Competitors1.7avg/cited
Sentiment—no data
💰Conversion
5 brand-level
Cited80%4/5
Share of voice80%avg
Engine consensus100%of engines
Competitors1.3avg/cited
Sentiment—no data

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.

Executive summary

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

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