In the digital marketing world, "share of voice" has long been a standard metric for media planning. But as large language models (LLMs) like ChatGPT, Claude, and Gemini gain power, a new frontier is emerging: LLM Share of Voice (LLM SOV). This metric defines how prominently your brand appears within the responses generated by these AI systems.

LLM Share of Voice refers to the visibility and representation of a brand within AI-generated responses from LLMs. When a consumer asks, “What’s the best moisturizer for sensitive skin?” or “Recommend a quality coffee maker,” the frequency and favorability with which your brand appears in that answer determines your LLM SOV.

As consumers increasingly turn to AI chatbots instead of search engines, traditional SEO loses ground. LLM visibility becomes a new strategic focus.

While influencer marketing creates short-term engagement, LLM SOV measures whether your brand is part of the AI recommendation loop. It’s long-term and scalable.

AI assistants often provide a single answer. If your brand comes first, it may become the default choice across the entire category.

Create LLM-Friendly Content: Publish factual, high-authority, and neutral content that can be indexed and absorbed by LLM training systems.

Go Beyond SEO: Focus not only on Google rankings but also on structured, high-quality data that LLMs can learn from—think forums, expert content, Wikipedia-style articles.

Track LLM Visibility: Use prompt engineering and analysis tools to test whether your brand is showing up in LLM answers.

LLM SOV is the new SEO. As consumer choices are increasingly influenced by AI systems, brand visibility in LLMs will determine competitive advantage.

The real question is: Does your brand have a voice in the algorithm?