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

6

Limited Presence

Avg Prompt Score

17

across 171 prompts

AI Share of Voice

17%

across 171 prompts

Critical Issues

5

critical + high

Per-stage performance

🔍Discovery
98 category
Cited12%12/98
Share of voice10%avg
Engine consensus42%of engines
Competitors8.4avg/cited
Sentiment—no data
⚖️Evaluation
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/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.

Categories Teradata is visible in

1
  • Data Warehousenot yet measured→

Executive summary

Teradata is highly likely to be cited by AI engines for evaluation and trust queries because it has strong third-party review presence (e.g., 377 G2 reviews at 4.3/5 for Teradata Autonomous Knowledge Platform) and enterprise analyst visibility via Gartner Peer Insights and Gartner Magic Quadrant inclusion. The single highest-ROI fix is to strengthen first-party evaluation surfaces for “Teradata vs X” and “Teradata pricing” by ensuring crawlable, SSR-rendered, schema-rich pages that AI can quote directly (not just third-party citations).

Based on audit of teradata.com · Jun 10, 2026

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