[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Sigma Computing
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

72

Strong Presence

Avg Prompt Score

97

across 169 prompts

AI Share of Voice

100%

across 152 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
117 category
Cited100%117/117
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
11 brand-level
Cited100%11/11
Share of voice100%avg
Engine consensus100%of engines
Competitors2.0avg/cited
Sentiment—no data
🛡️Trust
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus100%of engines
Competitors2.0avg/cited
Sentiment—no data
💰Conversion
6 brand-level
Cited100%6/6
Share of voice100%avg
Engine consensus100%of engines
Competitors2.8avg/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

Sigma Computing is highly likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review presence (G2 500+ reviews) and first-party comparison pages (e.g., Sigma vs Tableau, Sigma vs ThoughtSpot). The single highest-ROI fix is to publish crawlable, self-serve pricing (or explicit pricing ranges) on first-party pages—right now pricing appears to be quote/contact-led, which weakens conversion-stage citations.

Based on audit of sigmacomputing.com · Jun 7, 2026

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