AI Visibility
measured23/100
Emerging · in Digital Asset Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
16
across 355 prompts
AI Share of Voice
16%
across 355 prompts
Critical Issues
6
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.
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 imgix is visible in
2Executive summary
Imgix is likely to be cited by AI engines for evaluation-stage queries because it has a live G2 profile (4.1/5 from 19 reviews) and publicly crawlable pricing with specific tiers (e.g., $25/mo starter through custom enterprise). The biggest risk is conversion-stage and evaluation-stage “shortlist” queries that rely on first-party comparison/evaluation surfaces and structured data—your site has pricing and strong case-study metrics, but no evidence was found (via search) of SoftwareApplication/FAQPage/AggregateRating structured data or first-party “Imgix vs competitor” pages.
Based on audit of imgix.com · Sep 1, 2026