AI Visibility
measured18/100
Emerging · in Agent Frameworks
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
4
across 424 prompts
AI Share of Voice
4%
across 424 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Agent Frameworks
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.
SuperAGI is strongly positioned for AI citation in evaluation-stage queries because it has substantial G2 review volume (445 reviews, 4.5/5) and publicly crawlable pricing with explicit tiers. The biggest risk for “vs/alternatives/pricing” evaluation queries is missing/unclear first-party structured evaluation surfaces (SoftwareApplication/FAQPage/robots/llms.txt signals were not verifiably found via search), so AI may rely more on third-party sources than SuperAGI’s own pages.
Based on audit of superagi.com · Oct 9, 2026