AI Visibility
measured16/100
Emerging · in Digital Asset Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals59/100
Some gaps
Avg Prompt Score
8
across 156 prompts
AI Share of Voice
8%
across 156 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Digital Asset Management
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.
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.
Kontainer is a B2B DAM/PIM SaaS with strong AI-citation inputs from G2 and Capterra (e.g., 339+ G2 reviews and ~300 Capterra reviews). The biggest risk to appearing in evaluation-stage AI answers is missing/unclear first-party comparison and structured evaluation markup (SoftwareApplication/FAQPage/ratings), which forces AI to rely on third-party review sites instead of Kontainer’s own pages.
Based on audit of kontainer.com · Oct 5, 2026