AI Visibility
measured51/100
Frequently Cited · in Data Warehouse
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals6/100
Weak fundamentals
Avg Prompt Score
32
across 195 prompts
AI Share of Voice
32%
across 195 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Data Warehouse
Composite = 50% coverage + 30% engine breadth + 20% position, measured in the brand's strongest category. Position and citation depth join the score once the aggregation pipeline captures them. This is the measured Visibility score — separate from AEO Readiness, which scores fundamentals.
Per-stage performance
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
1Executive 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