AI Visibility
measured18/100
Emerging · in ETL & Data Integration
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
6
across 321 prompts
AI Share of Voice
6%
across 321 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in ETL & Data Integration
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 K2view is visible in
3Executive summary
K2view is strongly positioned for AI citation in evaluation-stage queries because it has a high-signal G2 presence (56 reviews, 4.6★) and first-party comparison content (e.g., Delphix vs K2view). The single highest-ROI fix is to expand first-party comparison coverage specifically for the exact evaluation prompts (especially “How does K2view compare to Microsoft SQL Server?” and “How does K2view compare to Egnyte?”) so AI engines can cite K2view directly for those shortlist-building questions.
Based on audit of k2view.com · Oct 2, 2026