Scrunch measures AI share of voice by tracking competitive presence—the percentage of AI responses mentioning a user’s brand compared to competitors across tracked prompts.

Additional context: Scrunch collects real responses across AI platforms, detects brand mentions in reach response, and calculates competitive presence as a percentage over set time periods.

Example

For example, imagine a Scrunch user in the consumer packaged goods industry is measuring AI share of voice to understand how their brand compares to competitors in terms of brand mentions and citations over a specific timeframe. They can see:

Home view:

• Their brand appears in 55% of AI responses.
• Competitor A appears in 52% of AI responses.
• Competitor B appears in 45% of AI responses.
• Competitor C appears in 41% of AI responses.
• Competitor D appears in 1% of AI responses.

Prompts Monitoring view:

• Individual prompt performance across ChatGPT, Google AI Overviews, Gemini, etc.
• Breakdown of actual AI responses per platform
• Citation analysis revealing which sources influence AI recommendations

The user can filter results by branded versus non-branded prompts, topic cluster, AI platform, funnel stage, persona, geographic region, whether specific brands or competitors are mentioned, and more.

Follow-up question: How should I increase AI share of voice?

Increase AI share of voice by prioritizing high-intent, non-branded prompts that represent core product categories and audience demand. Identify and fill content gaps by updating or creating content that exceeds the quality of content currently being cited as a source by AI platforms.