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

63

Growing Presence

Avg Prompt Score

58

across 16 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
no prompts at this stage
—
⚖️Evaluation
8 brand-level
Cited100%8/8
Share of voice100%avg
Engine consensus—
Competitors0.8avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.5avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited75%3/4
Share of voice75%avg
Engine consensus—
Competitors0.3avg/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

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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