AI Visibility
measured41/100
Frequently Cited · in Developer Tools
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals7/100
Weak fundamentals
Avg Prompt Score
50
across 292 prompts
AI Share of Voice
50%
across 292 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Developer Tools
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.
RabbitMQ is strongly positioned for AI citation on evaluation-stage comparison queries because it has first-party broker comparison pages (e.g., RabbitMQ vs. Apache Kafka) and a solid G2 presence (46 reviews, 4.1★). The single highest-ROI fix is to improve conversion-stage “How much does RabbitMQ cost?” coverage with a crawlable, explicit pricing page (tiers/prices) and add evaluation-targeted FAQ/structured Q&A so AI can answer pricing and worth-it prompts from rabbitmq.com rather than only from third parties.
Based on audit of rabbitmq.com · Oct 9, 2026