AI Visibility
measured18/100
Emerging · in Serverless & Edge
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals54/100
Some gaps
Avg Prompt Score
4
across 298 prompts
AI Share of Voice
0%
across 282 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Serverless & Edge
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.
cycle.io is likely to be cited for evaluation-stage queries because it has first-party comparison pages (e.g., Cycle vs Proxmox/VMware vSphere) and a publicly crawlable pricing page with explicit tiers and prices. The biggest AI-citation risk is conversion-stage “pricing/cost” and evaluation-stage “what is Cycle / integrations / fit” queries if structured data (SoftwareApplication/FAQPage) and AI-crawler discovery files (llms.txt/robots.txt) are missing or not crawlable—your highest-ROI fix is to add/verify SoftwareApplication + FAQPage schema across product/pricing/integration pages and ensure AI crawler access.
Based on audit of cycle.io · Aug 30, 2026