AI Visibility
measured44/100
Frequently Cited · in AI Data Privacy
measured from this brand's audit prompts
AEO Readiness
fundamentals63/100
Some gaps
Avg Prompt Score
7
across 300 prompts
AI Share of Voice
4%
across 284 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in AI Data Privacy
Composite = 50% coverage + 30% engine breadth + 20% position, measured across this brand's own audit prompts (it isn't in a tracked category rollup yet). 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 BigID is visible in
3Executive 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