[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/LexisNexis AML Insight
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

58

Growing Presence

Avg Prompt Score

8

across 119 prompts

AI Share of Voice

13%

across 119 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
103 brand-level
Cited0%0/103
Share of voice0%avg
Engine consensus—
Competitors—
Sentiment—no data
⚖️Evaluation
8 brand-level
Cited100%8/8
Share of voice100%avg
Engine consensus100%of engines
Competitors0.8avg/cited
Sentimentpositive13+ / 11~ / 0−
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors0.8avg/cited
Sentimentneutral2+ / 10~ / 0−
💰Conversion
4 brand-level
Cited75%3/4
Share of voice100%avg
Engine consensus100%of engines
Competitors0.7avg/cited
Sentimentneutral0+ / 12~ / 0−

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.

Categories LexisNexis AML Insight is visible in

1
  • Financial Crime Compliancenot yet measured→

Executive summary

LexisNexis is highly likely to be cited by AI engines for evaluation-stage queries because it has an active G2 presence (G2 seller page and product review pages exist) and a Gartner Peer Insights vendor review page. The single highest-ROI fix is to improve first-party evaluation surfaces—especially crawlable, indexed “[LexisNexis] vs [competitor]” and pricing content—so AI can cite LexisNexis pages directly instead of relying on third-party review sites.

Based on audit of lexisnexis.com · May 18, 2026

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