[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Thomsonreuters
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

57

Growing Presence

Avg Prompt Score

80

across 37 prompts

AI Share of Voice

100%

across 20 prompts

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
24 category
Cited100%24/24
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus—
Competitors0.2avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited75%3/4
Share of voice75%avg
Engine consensus—
Competitors0.0avg/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

Thomson Reuters is very likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review presence on G2 (e.g., 812 reviews for CS Professional Suite and 807 reviews for Thomson Reuters products page) and active enterprise social authority via LinkedIn (1.9M+ followers). The single highest-ROI fix is to add/expand first-party, brand-led evaluation content (especially SoftwareApplication/FAQPage structured Q&A and explicit “[Brand] vs [Competitor]” pages) so AI can cite Thomson Reuters directly for comparison and pricing-evaluation prompts rather than relying mostly on third parties.

Based on audit of thomsonreuters.com · May 5, 2026

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