Recommendation Rate
KPIProduct Managers

Recommendation Rate for Product Managers

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

Why It Matters for Product Managers

As a product manager, you need metrics that show product visibility. 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.

How to Measure

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

Action Items for Product Managers

Test recommendation queries for your category

Track inclusion in 'best of' and comparison responses

Track how product changes impact Recommendation Rate

Use metric insights to inform product positioning

Share findings with marketing and sales teams

Industry Benchmarks

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

Reporting Tips for Product Managers

1

Track Recommendation Rate weekly to identify trends early

2

Benchmark against competitors to contextualize performance

3

Segment by product/feature to identify winners

4

Track before/after for product launches

5

Include user feedback qualitative data

Improvement Strategies

Create comprehensive product/service pages

Build strong review presence

Develop use case-specific content

Increase brand authority and recognition

Start Tracking Recommendation Rate Today

Get expert help measuring and improving recommendation rate as part of your comprehensive AI visibility strategy.