AI Visibility
measured10/100
Emerging · in Agent Frameworks
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals49/100
Some gaps
Avg Prompt Score
7
across 184 prompts
AI Share of Voice
7%
across 184 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Agent Frameworks
Composite = 60% coverage + 40% engine breadth, 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.
AutogenAI is a B2B proposal/RFP software brand with strong third-party review presence on G2 and at least one Gartner Peer Insights product page, making it reasonably eligible for evaluation-stage citations. The biggest AI-citation risk is conversion-stage and structured-data visibility: pricing appears to be “talk to experts”/custom rather than clearly crawlable tiers, and there’s no evidence (from live search) of SoftwareApplication/FAQPage/aggregateRating schema that AI engines can reliably extract.
Based on audit of autogenai.com · May 22, 2026