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ProductCitation IndexAI InfluenceBlogBook
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ProductCitation IndexAI InfluenceBlogBook
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AEO Score

36

Limited Presence

Avg Prompt Score

6

across 199 prompts

AI Share of Voice

9%

across 199 prompts

Critical Issues

4

critical + high

Brand Accuracy

3/53

citations with inaccuracies

Shortlist Position

0/1

Not Visible · Discovery

Per-stage performance

🔍Discovery
107 brand-level
Cited10%11/107
Share of voice5%avg
Engine consensus52%of engines
Competitors14.5avg/cited
Sentimentpositive4+ / 6~ / 0−
⚖️Evaluation
4 brand-level
Cited75%3/4
Share of voice100%avg
Engine consensus100%of engines
Competitors0.0avg/cited
Sentimentneutral1+ / 11~ / 0−
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors0.0avg/cited
Sentimentpositive3+ / 9~ / 0−
💰Conversion
4 brand-level
Cited50%2/4
Share of voice100%avg
Engine consensus100%of engines
Competitors0.0avg/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.

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Executive summary

Moody’s is highly likely to be cited for *category/trust* queries (e.g., “Moody’s reviews” and “who is Moody’s for”) because it has strong enterprise social authority on LinkedIn and appears on Gartner Peer Insights. The biggest AI citation risk is *conversion/evaluation* queries that require crawlable, first-party pricing and structured product metadata (SoftwareApplication/FAQPage), which are not evidenced in the live crawl signals.

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

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