AI Visibility
measured26/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals42/100
Some gaps
Avg Prompt Score
16
across 164 prompts
AI Share of Voice
16%
across 164 prompts
Critical Issues
3
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.
Akkio is a B2B AI analytics/workflow platform for media agencies and data providers, and it already has meaningful AI-review visibility via G2 (14 reviews, 4.5/5). The biggest AI-citation risk is conversion-stage evaluation queries like “Akkio pricing” and “Akkio vs X” because the pricing page is custom/contact-only and there’s no clear first-party “Akkio vs competitor” comparison coverage indexed for evaluation.
Based on audit of akkio.com · Oct 18, 2026