AI Visibility
measured49/100
Frequently Cited · in Serverless & Edge
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals28/100
Weak fundamentals
Avg Prompt Score
56
across 285 prompts
AI Share of Voice
56%
across 285 prompts
Critical Issues
7
critical + high
Shortlist Position
16/68
Niche · Serverless Edge Discovery
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.
Per-stage performance
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.
Categories Railway is visible in
1Your visibility gap
Railway surfaces in 16/68 Serverless Edge discovery prompts. Claim this profile to see which 52 prompts you're missing and how to win them.
Executive summary
railway.app is a B2B serverless/container deployment platform that already gets cited for mid-funnel comparison patterns (e.g., “Koyeb vs Railway” and “Fly.io vs Railway”). The biggest AI citation risk is missing/uncrawlable first-party evaluation surfaces for the highest-value discovery gaps (global edge + Next.js + microservices + API backends), plus weak/uncorroborated structured-data and pricing crawlability signals from live checks.
Based on audit of railway.app · May 7, 2026