AI Visibility
measured16/100
Emerging · in Digital Asset Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
15
across 172 prompts
AI Share of Voice
15%
across 172 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.
Daminion is a B2B digital asset management (DAM) vendor with strong AI-citation inputs from G2 (172 reviews, 4.6/5) and secondary review presence on Capterra and Gartner Peer Insights. The biggest AI visibility risk is evaluation-stage crawlability/structured extraction: there’s evidence of first-party comparison content, but no detectable SoftwareApplication/FAQPage/AggregateRating structured data signals from search, and robots.txt/llms.txt/sitemaps couldn’t be verified via this tool—so AI engines may not reliably extract “pricing + evaluation” answers from daminion.net itself.
Based on audit of daminion.net · Oct 6, 2026