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

63

Growing Presence

Avg Prompt Score

63

across 674 prompts

AI Share of Voice

63%

across 658 prompts

Category Visibility

#1

in Privacy & Data Governance · of 59

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
558 category
Cited60%334/558
Share of voice56%avg
Engine consensus57%of engines
Competitors5.3avg/cited
Sentiment—no data
⚖️Evaluation
12 brand-level
Cited100%12/12
Share of voice100%avg
Engine consensus100%of engines
Competitors2.2avg/cited
Sentiment—no data
🛡️Trust
8 brand-level
Cited100%8/8
Share of voice100%avg
Engine consensus100%of engines
Competitors2.8avg/cited
Sentiment—no data
💰Conversion
8 brand-level
Cited88%7/8
Share of voice88%avg
Engine consensus100%of engines
Competitors3.0avg/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 BigID is visible in

2
  • Privacy & Data Governance1 of 59→
  • Data & Analytics64 of 254→

Executive summary

BigID is already well-positioned to be cited by AI engines for evaluation-stage queries because it has a strong G2 presence (156 reviews on its G2 seller page) and appears on Gartner Peer Insights. The single highest-ROI fix is to add/expand first-party, brand-led evaluation content—especially crawlable pricing and structured “[BigID] vs [Competitor]” pages—so AI can cite BigID directly for conversion and comparison queries rather than relying on third-party review sources.

Based on audit of bigid.com · Jun 8, 2026

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