AI Visibility
measured19/100
Emerging · in Privacy & Data Governance
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals49/100
Some gaps
Avg Prompt Score
6
across 289 prompts
AI Share of Voice
6%
across 289 prompts
Critical Issues
4
critical + high
Shortlist Position
0/80
Not Visible · Cloud Security Discovery
How AI Visibility breaks down
in Privacy & Data Governance
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 DataGuard is visible in
2Your visibility gap
DataGuard surfaces in 0/80 Cloud Security discovery prompts. Claim this profile to see which 80 prompts you're missing and how to win them.
Executive summary
DataGuard is a B2B security/compliance SaaS with meaningful third-party trust signals (e.g., G2 and Capterra profiles) and a crawlable pricing page, so it can be cited for brand-aware evaluation queries. The biggest AI-visibility gap is discovery-stage coverage for the exact shortlist patterns you provided (e.g., “best cloud security software for small businesses” and “cloud security for healthcare providers”); the highest-ROI fix is to publish and index use-case landing pages that explicitly map DataGuard to those industries/use cases and include evaluation-ready FAQ blocks.
Based on audit of dataguard.com · Sep 1, 2026