Recommendation Rate
KPIDeveloper Relations

Recommendation Rate for Developer Relations

Learn how developer relations can track, measure, and improve recommendation rate to drive AI visibility results.

Developer Relations에게 중요한 이유

As DevRel, you need metrics that show developer tool adoption and discovery. Recommendation Rate helps you recommendations are the highest-intent ai mentions. when ai recommends you, users are actively considering options and your brand is positioned as a viable choice.

측정 방법

1

Test recommendation queries for your category

2

Track inclusion in 'best of' and comparison responses

3

Monitor recommendation consistency across platforms

4

Compare recommendation rate vs. competitors

Developer Relations를 위한 실행 항목

Test recommendation queries for your category

Track inclusion in 'best of' and comparison responses

Track Recommendation Rate for documentation and tutorials

Measure how community content affects this metric

Share insights with engineering on technical improvements

업계 벤치마크

Excellent: Recommended in 40%+ of relevant queries

Good: Recommended in 20-40% of queries

Average: Recommended in 10-20% of queries

Poor: Recommended in <10% of queries

Developer Relations를 위한 보고 팁

1

Track Recommendation Rate weekly to identify trends early

2

Benchmark against competitors to contextualize performance

3

Segment by documentation section

4

Track tutorial vs. reference doc performance

5

Correlate with developer community activity

개선 전략

Create comprehensive product/service pages

Build strong review presence

Develop use case-specific content

Increase brand authority and recognition

지금 바로 Recommendation Rate 추적을 시작하세요

종합적인 AI 검색 노출 전략의 일환으로 recommendation rate 측정 및 개선에 대한 전문가 지원을 받아보세요.