AI Visibility
measured18/100
Emerging · in Serverless & Edge
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals56/100
Some gaps
Avg Prompt Score
6
across 409 prompts
AI Share of Voice
6%
across 409 prompts
Critical Issues
4
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.
Hangfire is likely to be cited by AI engines for evaluation-stage queries like “Hangfire pricing” and “Hangfire reviews/alternatives” because it has a publicly crawlable pricing page with explicit tiers and strong third-party presence on G2 plus active Reddit discussions. The biggest citation risk is conversion-stage evaluation queries that require first-party, brand-led comparison/FAQ surfaces (e.g., “Hangfire vs Quartz” / “Hangfire for background jobs”)—the site appears to rely more on community/forum content than structured, crawlable evaluation pages.
Based on audit of hangfire.io · Oct 7, 2026