Share of Voice in AI: Measuring Brand Presence Across LLMs

Share of voice in AI quantifies your brand's presence in AI-generated responses relative to your competitors. If users ask 100 prompts relevant to your industry and your brand appears in 30 of the AI responses while your top competitor appears in 55, your AI share of voice is 30 percent versus their 55 percent.

What Is Share of Voice in AI?

Traditional share of voice measures advertising presence relative to the market. AI share of voice adapts this for AI-generated recommendations. The calculation is: define relevant prompts, query multiple AI models, count mentions, and divide your mentions by total mentions.

Sophisticated measurement includes position-weighted, sentiment-adjusted, and model-weighted share of voice.

Why AI Share of Voice Matters

In AI responses, typically three to five brands are mentioned. If you are not in that list, your visibility is zero. Citerna measures this across 11 models, providing competitive maps.

How to Measure AI Share of Voice

You need a curated prompt set, systematic querying across models, and consistent tracking over time. Citerna handles this end-to-end.

Improving Your AI Share of Voice

Audit your position. Identify gaps where competitors appear and you do not. Create targeted content for high-value prompts. Strengthen entity authority. Monitor and iterate continuously.

Benchmarks and Goals

In emerging categories, 40-50 percent share is achievable. In mature, competitive categories, 15-25 percent may represent strong performance. The key is consistent improvement on your highest-priority prompts.