AI Visibility
measured55/100
Frequently Cited · in Serverless & Edge
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals46/100
Some gaps
Avg Prompt Score
62
across 309 prompts
AI Share of Voice
63%
across 309 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Serverless & Edge
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.
Fly.io is a B2B application server platform with a small but strong G2 signal (3 reviews, 4.7★) ([g2.com](https://www.g2.com/products/fly-io/reviews?utm_source=openai)), plus active Reddit discussion that helps Perplexity-style “best/alternatives” queries ([reddit.com](https://www.reddit.com/r/elixir/comments/1h8ajm2/is_flyio_ridiculously_expensive/?utm_source=openai)). The biggest AI-citation risk is evaluation-stage coverage: there are no clearly crawlable first-party “[Fly] vs Render/Railway” pages found, and pricing is documented as usage-based resource pricing (not simple tiered plans), which can reduce “How much does Fly cost?” citation reliability ([fly.io](https://fly.io/docs/about/pricing/?utm_source=openai)).
Based on audit of fly.io · May 4, 2026