AI Share of Voice
KPIContent Managers

AI Share of Voice for Content Managers

Learn how content managers can track, measure, and improve ai share of voice to drive AI visibility results.

Why It Matters for Content Managers

As a content manager, you need metrics that prove content effectiveness. AI Share of Voice helps you share of voice indicates market position in ai recommendations. if competitors have higher share of voice, they're capturing more ai-referred opportunities in your space.

How to Measure

1

Define key queries for your category

2

Test queries across multiple AI platforms

3

Count brand mentions for you and competitors

4

Calculate percentage share per brand

Action Items for Content Managers

Define key queries for your category

Test queries across multiple AI platforms

Measure AI Share of Voice impact of different content formats

Create content briefs optimized for this metric

Build a content calendar focused on improvement

Industry Benchmarks

Market leader: 30%+ share of voice

Strong competitor: 15-30% share of voice

Average player: 5-15% share of voice

Minor player: <5% share of voice

Reporting Tips for Content Managers

1

Track AI Share of Voice weekly to identify trends early

2

Benchmark against competitors to contextualize performance

3

Analyze by content type and topic cluster

4

Track content age vs. performance correlation

5

Identify top-performing content patterns

Improvement Strategies

Identify queries where competitors dominate

Create superior content for high-value queries

Build authority in specific sub-niches first

Increase brand mentions across the web

Start Tracking AI Share of Voice Today

Get expert help measuring and improving ai share of voice as part of your comprehensive AI visibility strategy.