AI Visibility
measured34/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals41/100
Some gaps
Avg Prompt Score
11
across 466 prompts
AI Share of Voice
11%
across 466 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in AI Applications
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.
Julius is a B2B influencer marketing platform with strong third-party review traction (G2 shows 96 reviews at 4.5★). The biggest AI-citation risk is conversion-stage evaluation: the site does not expose crawlable, tiered pricing and appears to lack first-party comparison pages for queries like "How does Julius compare to CreatorIQ?"—so AI engines have fewer on-site sources to cite for shortlist decisions.
Based on audit of juliusworks.com · Oct 9, 2026