AI Share of Voice: How to Measure and Grow Your Brand's Percentage of AI Recommendations

AI Visibility Score tells you how strong your brand's absolute AI presence is. AI Share of Voice tells you how that presence compares to competitors — what percentage of relevant AI recommendations in your category go to you vs. them.

For most brands, Share of Voice is the metric that translates most directly to revenue impact.

AI Share of Voice = Your brand's AI mentions ÷ Total AI mentions for all brands in your category × 100

Example: If across 100 category queries, your brand is mentioned 40 times, Competitor A 35 times, and Competitor B 25 times — your AI Share of Voice is 40%.

This metric reveals competitive dynamics that absolute scores can mask. A brand with an AI Visibility Score of 60 may have only 15% Share of Voice if competitors have scores of 75 and 80. The competitive position is weaker than the absolute score suggests.

Manual measurement is extremely resource-intensive. For comprehensive Share of Voice measurement:

1. 1Define your competitive set (3-7 direct competitors you're measured against)
2. 2Define your query universe (50-100 relevant category queries)
3. 3Run all queries across all LLMs (9 platforms × 100 queries = 900 data points)
4. 4Track mention positions (first mention, second mention, etc.)
5. 5Calculate share by LLM and overall

AHOD automates this process, providing weekly Share of Voice tracking across all 9 LLMs simultaneously.

Overall Share of Voice

Your percentage of all category mentions. Target: increase to 30%+ of mentions in your primary category.

First-Mention Share of Voice

More important than overall mentions is who AI mentions first. First-mention Share of Voice tracks what percentage of your category mentions are first-position mentions.

A brand with 25% overall Share of Voice but 40% first-mention Share of Voice is winning more than raw numbers suggest — buyers see them first most often.

Platform-Specific Share of Voice

Share of Voice varies significantly across LLMs. You may have 35% Share of Voice on ChatGPT but only 10% on Perplexity. Platform-specific analysis reveals where you need focused effort.

Query-Category Share of Voice

Breaking down Share of Voice by query type reveals where you're strongest and weakest:

• 'Best [category] for enterprise': 40% Share of Voice (strong)
• 'Best [category] for startups': 8% Share of Voice (weak, opportunity)

Category-Specific Editorial Push

If you have low Share of Voice for a specific use-case category (e.g., 'enterprise'), run targeted editorial placements that specifically address that use case. An article 'How Enterprise Teams Use [Brand] for [Specific Outcome]' in a relevant publication creates Share of Voice for that query cluster.

Competitive Displacement

Create content that explicitly compares your brand to competitors for specific use cases:

• '[Your Brand] vs. [Competitor]: Which is Right for [Use Case]?'
• 'The [Category] Alternative to [Competitor] for [Specific Need]'

These pieces are directly relevant to AI comparison queries and can capture Share of Voice in comparison searches.

First-Mention Positioning

To capture first-mention Share of Voice, AI needs to recognize you as the category default. This requires the strongest overall AI Visibility Score AND consistent first-position emphasis in editorial content.