AI Visibility
measured36/100
Emerging · in Digital Asset Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals5/100
Weak fundamentals
Avg Prompt Score
18
across 174 prompts
AI Share of Voice
18%
across 174 prompts
Critical Issues
3
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.
ImageKit.io is a B2B SaaS (image/video optimization + DAM) with strong AI-citation foundations: it has substantial G2 presence (251 reviews shown on its G2 seller page) and a strong Gartner Peer Insights rating (4.9/5 from 15 ratings). The biggest AI citation risk is evaluation-stage “brand vs competitor” and “pricing” queries where AI needs crawlable first-party comparison/pricing signals and structured data; the highest-ROI fix is to ensure SoftwareApplication/FAQPage schema coverage and strengthen first-party evaluation pages beyond the existing /compare/ hub.
Based on audit of imagekit.io · Oct 9, 2026