AI Share of Voice: How to Measure Brand Visibility in AI Answers

When potential customers look for product or service recommendations through AI, is your brand mentioned, or do your competitors show up instead? This is increasingly relevant as platforms like ChatGPT, Gemini, and Perplexity are used by more and more people, especially when searching for information, looking for solutions, and making decisions.

To find out where your brand stands in that competition, a business can track one indicator of brand visibility: AI share of voice. AI share of voice is a metric that helps you understand how often your brand is mentioned in AI answers and how its position compares to your competitors’.

So, how do you measure AI share of voice, and how can you use it to shape your business strategy? Here’s a breakdown of the explanation, the formula, and the steps you can apply to your business.

What Is Share of Voice?

AI share of voice is a metric that measures how visible a brand is in AI answers compared to its competitors on a given topic or relevant question. It is measured by monitoring brand mentions across the same set of questions on various AI platforms.

For example, when a user asks for recommendations for data processing software, the AI may list several different brands. If your brand appears more often in the answers to a variety of similar questions, that can be a sign that your brand’s visibility is stronger in that category.

However, it’s important to understand that a high frequency of brand mentions doesn’t necessarily mean a brand is the most recommended. Therefore, measuring share of voice (SoV) should also take into account the context of the mention, brand sentiment, brand positioning, and whether the AI cites your website as a source of information.

Why Should You Monitor AI Share of Voice?

One reason is that user search behavior keeps evolving. AI now not only helps answer questions, but also simplifies the research process and helps users compare several products or services before they make a purchase decision.

The scale of AI feature usage in search engines is also growing. For example, Google reported that its AI feature, AI Overviews, has reached more than 2.5 billion monthly active users, while AI Mode has surpassed 1 billion monthly active users in 2026. These figures show the growing reach of AI-based experiences.

Read also: AI Mention: How It Works & Tips to Get Your Brand Mentioned

AI Share of Voice vs Traditional Share of Voice: The Differences

So, what are the differences between AI share of voice vs traditional SoV? Broadly speaking, both can help a brand understand its brand positioning. However, they measure visibility through different channels and indicators. Here’s the explanation:

1. Media Analyzed

Traditional share of voice measures brand visibility through ads, organic search results, and media coverage. AI share of voice, on the other hand, measures how often a brand appears in answers generated by AI platforms.

2. How Visibility Is Measured

Traditional share of voice can be measured through the number of impressions, clicks, or share of ad spend. AI share of voice, meanwhile, focuses on the frequency of brand mentions and citations in AI answers compared to competitors.

Because they use different indicators, high visibility on Google doesn’t necessarily mean a brand will often appear in AI Answers.

3. Influencing Factors

Traditional share of voice is usually influenced by ad budget, target keywords, and marketing activities. AI share of voice, meanwhile, is also influenced by content quality and relevance, domain authority, and brand mentions in the form of backlinks on other sites, such as forums or review platforms.

4.  How It Relates to Google Rankings

Visibility on Google doesn’t always align with visibility on AI platforms. An Ahrefs study in August 2025 found that around 80% of URLs cited by major AI platforms did not appear in Google’s top 100 results for the same query.

This means a brand can rank well on Google but still rarely appear in AI Answers. Therefore, these two metrics need to be monitored separately.

5. Differences Between Platforms

Traditional share of voice measurement tends to be more consistent when done using the same channel and method. In contrast, AI share of voice can differ greatly between ChatGPT, Gemini, Perplexity, and other AI platforms.

Therefore, you can monitor several AI platforms to get a more complete picture of your brand’s visibility.

6. Score Changes

Traditional share of voice generally changes in line with campaign cycles or marketing activities. AI share of voice, meanwhile, is not always stable. Brand visibility can rise or fall within a matter of weeks, even when the content strategy stays the same.

To make things easier, here’s a summary table of the differences between the two:

Read also: GEO & AEO KPIs: How to Measure AI Optimization Metrics

What Is an Ideal AI Share of Voice Score?

In truth, there is no definitive standard for determining an ideal AI share of voice score. Generally speaking, however, a score of 30% can serve as a starting target based on data from AI monitoring platforms.

That said, this number still needs to be adjusted to the level of competition and how often competitors appear in AI Answers. If your business has many competitors, even a 15% score can indicate a fairly strong position.

Besides looking at your current score, you also need to pay attention to how it changes over time and compare it with your competitors to see whether your brand’s visibility is getting better or falling behind.

How to Calculate AI Share of Voice: The Formula

AI share of voice shows the percentage of AI answers that mention your brand out of all the answers analyzed. This means the more often your brand appears in relevant answers, the higher your share of voice.

The formula for AI share of voice is:

For example, out of 100 AI answers analyzed, your brand appears in 20 of them. This means your brand’s AI share of voice is 20%.

Note: For more accurate results, the measurement should be done across several prompts and AI platforms, then compared with competitors.

How to Calculate a Brand’s AI Share of Voice

To calculate your brand’s AI share of voice, here are the steps you can take:

1. Define Relevant Prompts

Make a list of questions your audience might ask about your products, services, or industry. Use a variety of questions so the measurement covers different audience needs.

2. Test on Multiple AI Platforms

Enter the same questions into several platforms, such as ChatGPT, Gemini, and Perplexity. This can help you see how your brand’s visibility differs on each platform.

3. Record Brand Mentions

Check how many answers mention your brand. Also note the position and context in which it appears to understand how the AI presents your brand.

4. Calculate Your AI Share of Voice Score

Divide the number of answers that mention the brand by the total number of answers analyzed, then multiply by 100%. For example, if the brand appears in 20 out of 100 answers, its AI share of voice score is 20%.

5. Compare with Competitors

Calculate your competitors’ scores using the same questions and platforms. This way, you can find out whether your brand’s visibility is higher or lower than your competitors’.

Read also: AI Crawlers: Definition, Function, and Why They Matter for Business

How to Improve AI Share of Voice & Tools You Can Use

To improve your AI share of voice, you need to work on making your brand appear often in AI answers. This effort needs to be supported by building brand credibility and relevance.

Here are several steps you can take to improve your brand visibility and AI share of voice:

1. Create Content That Answers Your Audience’s Questions

Structure your content around the questions your audience often asks through AI. Give clear answers right from the start, use question-based headings where relevant, and cover topics in depth so your content is more useful as a source of information.

2. Build Brand Reputation Through Trusted Sources

Aim to get your brand discussed in industry media, reputable publications, and relevant forums. References from a variety of credible sources can help strengthen your brand’s credibility in the eyes of AI.

If you want to increase brand mentions in well-known Indonesian media outlets, cmlabs can help through our Media Placement & Backlink service.

3. Strengthen Your Brand’s Association with Relevant Topics

Create content that consistently connects your brand with the products, services, and problems that your products or services can solve. Make sure this information is also consistent across channels so AI can more easily understand your brand’s areas of strength.

4. Monitor Sentiment in AI Answers

Don’t just count how often your brand appears, but also pay attention to how the AI describes it. A brand that is mentioned often doesn’t necessarily get a positive portrayal, especially if it appears in a negative comparison or in a list of alternatives.

5. Gunakan AI Share of Voice Tool untuk Memantau Visibilitas Brand

Use an AI Share of Voice Tool to Monitor Brand Visibility

Using an AI share of voice tool can help you monitor your brand’s appearance in AI answers and evaluate its visibility compared to competitors.

To find out how often your brand appears in AI answers, start by running a visibility audit. To make the process easier, use the FREE AI Visibility Audit by cmlabs to evaluate your brand’s visibility on AI platforms.

With this, you only need to wait about 3–5 working days to receive a detailed report on your brand’s AI visibility. This service is 100% free and has no contract commitment.

Read also: GEO & AEO KPIs: How to Measure AI Optimization Metrics

Optimize Your AI Share of Voice with GEO & AEO Services by cmlabs!

Measuring visibility in the AI era can be quite challenging, especially if you don’t yet have enough experience in this field.

That’s because, besides AI SoV, there are many other factors and components that also need attention to improve brand visibility in the era of AI search, such as AI citations, AI referral traffic, and much more.

On top of that, if you measure incorrectly, the strategy you run will certainly miss the mark. Some common mistakes companies often make include monitoring only one platform, equating the number of mentions with SoV, or optimizing for only one type of prompt.

In reality, each AI platform has a different approach to retrieving and organizing information.

To avoid these mistakes, it’s better to use the AI Search Optimization (GEO/AEO) Service by cmlabs so your business can optimize its brand visibility across various AI platforms, including ChatGPT, Gemini, Perplexity, Google AI Overviews, and Copilot, hassle-free.

The optimization strategy in cmlabs is data-driven and personalized to the AI platforms you’re targeting, because each AI has a different way of finding and understanding information (grounding).

GEO services by cmlabs also have a very broad scope, covering technical optimization, content structure, entities, external authority, as well as analysis of visibility opportunities, citations, and more.

So, what are you waiting for? Contact our cmlabs team now and consult about your business challenges for free! You can also discuss a suitable optimization strategy, learn more about the scope of services, and even request service customization based on your business needs.