Strategy

Share of voice in AI: how to measure it against competitors

Share of voice in AI: how to measure it against competitors
Short answer

Share of voice in AI is the percentage of times your brand appears in AI answers about your category, against your competition. You measure it by asking your customer’s real questions in ChatGPT, Gemini, Claude and Perplexity, and recording who shows up, in what position, and with what tone.

In traditional marketing, share of voice measures how much your brand is talked about versus the others. In the AI era there is a new, more concrete version: how often AI names you when someone asks for a recommendation in your sector. It is one of the most useful metrics for knowing whether your visibility work is paying off.

What share of voice in AI is

It is the percentage of AI answers, across a set of questions in your category, where your brand appears. If across a hundred relevant questions AI mentions you in thirty, your share of voice is 30 percent. What matters is not just the number, but comparing it to your competitors: AI visibility is relative, because the space in an answer is limited.

How it differs from traditional share of voice

Classic share of voice measures mentions in media, social, or search. Share of voice in AI measures something closer to the decision: whether AI recommends you at the exact moment your customer asks for advice. It is not how much you are talked about in general, but whether you are inside the answer the person uses to choose.

How it is measured

Measuring well is not asking once. A serious calculation accounts for several factors:

  • The right questions: the ones your customer actually asks, not the ones you imagine.
  • Several engines: ChatGPT, Gemini, Claude and Perplexity can answer differently.
  • Frequency: repeating over time, because answers change.
  • Position: being the first brand named is not the same as being the last.
  • Tone: showing up is not enough; it matters whether it describes you well or with doubts.

With that data you get a real, comparable number, not a feeling.

What a good share of voice looks like

There is no magic figure that fits everyone. It depends on how many serious competitors are in your category and how much space AI leaves in each answer. What matters is the trend: that your share rises month over month and that you gain ground in the questions with the most buying intent, not the trivial ones.

How to use it to gain ground

Share of voice is not just a report, it is a compass. It tells you which questions you already win and should defend, and which ones your competition appears in and you do not. Those gaps are your priority list: they are the conversations where most decisions happen and where you are not yet present. Working those questions first is what moves the needle.

How to start measuring

Start small and do it well. Pick ten to twenty key questions in your category, ask them in the main engines, and note whether you appear, in what position, and with what tone. Repeat the exercise each month to see the trend. That simple tracking already tells you whether you are heading in the right direction.

If you want to measure your share of voice in AI against your competition without doing it by hand, we can analyze your brand and show you where you stand today.

Frequently asked questions

What is a good share of voice in AI?

There is no single figure: it depends on how many serious competitors there are and how much space AI leaves in each answer. What matters is the trend, that it rises month over month, especially in the questions with the most buying intent.

How is share of voice in AI measured?

By asking your customer's real questions in ChatGPT, Gemini, Claude and Perplexity, and recording whether you appear, in what position, and with what tone. You repeat it over time, because answers change.

How is it different from traditional share of voice?

Traditional share of voice measures mentions in media or social. The AI version measures something closer to the decision: whether AI recommends you right when your customer asks for advice.

How often should I measure it?

Monthly is ideal. AI answers change as their sources change, so a one-off measurement ages quickly and does not show the trend.

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