AI Visibility
measured10/100
Emerging · in Data Warehouse
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
25
across 98 prompts
AI Share of Voice
17%
across 82 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Data Warehouse
Composite = 60% coverage + 40% engine breadth, 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 Barracuda Backup is visible in
1Executive summary
Barracuda is strongly positioned for AI citation in evaluation-stage queries because it has active G2 presence and multiple first-party “vs” pages (e.g., Barracuda vs Fortinet, Barracuda vs Mimecast). The biggest risk is conversion-stage and structured evaluation citation: pricing is publicly accessible, but there’s no evidence (from live checks) of SoftwareApplication/FAQPage structured data and no evidence of llms.txt, which reduces how reliably AI engines can ground “pricing” and “what it is/for” answers from barracuda.com itself.
Based on audit of barracuda.com · Aug 23, 2026