When someone asks ChatGPT, Perplexity, or Google AI Overviews for the best tools in your category, your brand has only one chance to become part of that answer.

The bigger problem is that seeing your brand mentioned once does not tell you whether competitors are appearing twice, five times, or ten times more often.

That is where AI Share of Voice (AI SOV) becomes useful. Instead of asking only whether AI mentions your company, it shows how much of the competitive conversation your brand receives compared with other brands in the same category.

TL;DR – GEO Share of Voice

• AI Share of Voice shows your brand’s share of AI-generated conversations compared with competitors.
• Track mentions, citations, platforms, competitors, and SOV over time.
• Start with an Excel sheet to understand your baseline.
• Keep prompts, platforms, and competitors consistent for accurate comparisons.
• Find where competitors appear and improve your visibility in those areas.
• ZeroRank AI shows AI visibility percentage and tracks mentions, citations, competitors, and multiple AI platforms in one place.

What is AI Share of Voice?

AI Share of Voice is the percentage of brand mentions your company receives compared with the total mentions received by your brand and selected competitors across a defined set of AI-search prompts.

For example, if AI-generated answers contain 100 total brand mentions across your tracked prompts and your company receives 20 of them, your AI Share of Voice is 20%.

• The important word here is competitive.

A brand can receive 50 mentions and still have weak Share of Voice if competitors receive 500 mentions across the same category and prompt set.

AI Share of Voice vs Traditional SEO

Traditional SEO is built around rankings. You normally look at a search result and see whether your page ranks in position 1, 3, 7, or somewhere on another page.

AI search works differently because systems such as ChatGPT, Gemini, Perplexity, and Google AI experiences can synthesize information from multiple sources into a single conversational response.

There may not be a simple position 1 for your brand to occupy.

Instead, the question becomes whether your company appears in the answer, how often it appears compared with competitors, and whether your website is used as a supporting source.

That is why AI Share of Voice gives businesses a different way to understand visibility. Now I am giving you a table to understand it well.

Factor	Traditional SEO	AI Share of Voice
Main focus	Search engine rankings	Brand visibility in AI-generated answers
What you measure	Position, clicks, impressions, organic traffic (from GSC)	Mentions, citations, visibility, and competitor presence (From Zero Rank AI)
Search format	Ranked list of web pages	Conversational answers
Competition	Compete for higher-ranking positions	Compete for mentions and citations within answers
Visibility signal	Ranking position	Frequency and prominence of brand appearances
Source importance	Helps a page rank and earn traffic	Determines whether AI systems use your content as a source
Competitor analysis	Compare keyword rankings	Compare brand mentions and citations across the same prompts
Success metric	Rankings, CTR, organic traffic, conversions	AI visibility, Share of Voice, mentions, citations, and referral traffic
Platforms	Google, Bing, and other search engines	Google AI overview, ChatGPT, Perplexity, Gemini, Google AI experiences, and other AI search platforms

How is AI Share of Voice Calculated?

The basic mention-based formula is straightforward:

• AI Share of Voice (%) = (Your Brand Mentions ÷ Total Brand Mentions Across All Tracked Brands) × 100

For example, you track 100 relevant AI responses. Across those responses, your brand receives 20 mentions, while your competitors receive another 80 mentions.

• Your AI Share of Voice would be: 20 ÷ 100 × 100 = 20%

But there is an important detail before you put this formula into a report. Not every AI visibility tool calculates SOV in the same way.

For example, Ahrefs measures AI Share of Voice based on a brand’s share of AI impressions compared with tracked competitors. ZeroRank AI shows AI Visibility as a percentage, indicating how often your brand appears across tracked AI answers.

Both help measure AI visibility, but they use different methods to calculate and present the metric. So when comparing SOV between tools, always check the methodology before comparing the percentages directly.

A Simple AI Share of Voice Example

Imagine you own a SaaS product and want to understand how often AI recommends your product compared with three competitors.

You create a list of category-related questions and run them across your selected AI platforms. After collecting the results, you find:

• Your brand: 20 mentions
• Competitor A: 35 mentions
• Competitor B: 25 mentions
• Competitor C: 20 mentions

That gives you 100 total brand mentions.

Your AI Share of Voice is therefore 20%. The number is more useful than your raw 20 mentions because it puts your visibility into competitive context.

AI Share of Voice vs Mention Rate

These two metrics sound similar, but they answer different questions.

Mention Rate tells you how frequently your brand appears across all tracked AI responses, while Share of Voice tells you how much of the total competitive mention volume belongs to your brand.

For example, if your brand appears in 30 out of 100 AI responses, your mention rate could be 30%.

But if those responses contain 150 total brand mentions across your competitors, your Share of Voice could be much lower.

LLM Pulse specifically separates Share of Voice from Mention Rate and Citation Rate because each metric uses a different denominator and answers a different question. (Source: LLM Pulse)

AI Share of Voice vs Citation Rate

AI Share of Voice vs Mention Rate: These two metrics sound similar, but they answer different questions.

Mention Rate tells you how frequently your brand appears across tracked AI responses or prompts, while Share of Voice tells you how much of the total competitive mention volume belongs to your brand.

For example, if your brand appears in 30 out of 100 AI responses, your Mention Rate could be 30%. But if those responses contain 150 total brand mentions across your competitors, your Share of Voice could be much lower.

Now you can understand where you need to focus, because if you are losing share of voice in your money keyword or commercial keyword, your money and sales will go to your competitors.

I have given some comparisons so that you can understand it well.

Metric	What It Measures	Example
Mention Rate	How often your brand appears in tracked AI responses or prompts	Your brand appears in 30 out of 100 responses = 30% Mention Rate
Share of Voice (SOV)	Your brand’s share of total brand mentions compared with competitors	You receive 30 of 150 total mentions = 20% SOV
Citation Rate	How often your website is cited as a source in AI responses	Your website is cited in 15 out of 100 responses = 15% Citation Rate

Why Does AI Share of Voice Matter?

The biggest reason is simple: AI search is becoming another place where people discover and compare businesses.

If your competitors appear consistently when people ask category, comparison, and product-selection questions, simply knowing that your own brand appeared once does not tell you enough.

AI Share of Voice gives you the competitive context.

1. A Low SOV Does Not Always Mean Low Visibility

This is an important discussion. Your brand could appear in hundreds of AI responses and still have a relatively small Share of Voice if your competitors appear even more frequently.

For example, 100 mentions sound impressive until you discover that the competitive group generated 1,000 total mentions.

Your absolute visibility may be growing while your relative position is staying flat. That is why it helps to track both total visibility and Share of Voice rather than replacing one with the other.

2. AI Search Does Not Behave Like a Ranking Page

With traditional search, businesses can focus heavily on improving a page from position 8 to position 3.

AI answers are more complicated because the system may retrieve information from several sources before generating its response.

Ahrefs analyzed 863,000 keyword SERPs and 4 million AI Overview URLs and found that 37.9% of URLs cited in AI Overviews also appeared within the first 10 SERP blocks, while other cited URLs appeared lower or outside the top 100.

This suggests that traditional SEO remains relevant, but ranking well is not the only route to appearing in AI-generated answers.

3. AI Visibility Can Change Between Platforms

You may have strong visibility in ChatGPT but much weaker visibility in Google AI Overviews. That does not automatically mean one measurement is incorrect.

Different AI experiences can retrieve different sources and generate different answers.

Ahrefs analyzed 730,000 AI Mode and AI Overview response pairs and found only 13.7% citation overlap between the two Google experiences.

So if AI visibility is important to your business, measuring only one platform can leave significant gaps in your understanding.

What Should You Track Alongside AI SOV?

Share of Voice becomes much more useful when it is connected to other AI visibility metrics. Instead of tracking one percentage, monitor the following:

Metric	What it tells you
AI Share of Voice	Your share of competitive AI mentions
Mention Rate	How often your brand appears in tracked responses
Citation Rate	How often your website or domain is cited
Competitor SOV	How your competitors compare with your brand
Prompt Visibility	Which questions generate your brand’s appearances
Platform SOV	How visibility differs between AI platforms
Cited Pages	Which pages are being used as sources
SOV Trend	Whether competitive visibility is increasing or decreasing

Together, these metrics answer a much better question than “Are we appearing in AI?”

They help explain where you appear, why you appear, who appears instead, and whether your competitive visibility is changing.

How to Measure AI Share of Voice

You do not need a complicated setup to understand the basic measurement. The important part is creating a consistent system that you can repeat every week or month. Now I am going to tell you step by step below:

Step 1: Define Your Competitive Category

First, decide exactly what you want to measure.

For a WordPress plugin or SaaS company, your category might be WooCommerce product feeds, shop builder, analytics software, email marketing platforms, or project management software.

A vague category will produce vague results. The more clearly you define the market and competitors, the more useful your SOV number becomes.

Step 2: Build a Prompt Set

Create questions that reflect how people actually research your category. For example, a SaaS company might track questions such as:

• What are the best tools for [problem]?
• What are the best alternatives to [competitor]?
• Which [category] tools are suitable for small businesses?
• What should a startup look for when choosing [category] software?
• Compare [brand] with [competitor].

HubSpot notes that AI SOV measurement depends heavily on building a balanced prompt set rather than relying on a few generic questions. (Source: HubSpot)

So, in my opinion, don’t choose a random prompt; create a category, and under that category, include 5 or 10 prompts that provide business value and supporting information for users.

Step 3: Choose the AI Platforms

Decide which AI platforms matter to your audience. You could track ChatGPT, Perplexity, Gemini, Google AI Overviews, Google AI Mode, or other relevant answer engines.

Different platforms can show different answers and sources. So, focus on the platforms where your audience is most likely to search.

Keep the same platforms in each reporting period. This makes it easier to see whether your AI visibility is actually improving or declining.

In my opinion, go for Google AI Overview and ChatGPT at first,, then expand as you understand all of this.

To remove future confusion, you can go with the tool Zero Rank AI, as it currently has a lifetime deal on AppSumo and supports 7+ platform coverage. When you see the deal is ended, you can choose other tools

Step 4: Track Your Competitors

Don’t track your brand alone. Your competitors are not sitting still—they are also working to improve their visibility in AI search.

Choose a consistent group of competitors and track how often they appear in the same AI responses. This helps you see how your visibility compares with the rest of the market.

That comparison is what turns simple AI visibility data into competitive Share of Voice.

Step 5: Record Mentions and Citations

Create an Excel sheet to record your AI search results. Add each prompt and AI platform you are tracking.

For every response, record whether your brand was mentioned. Then separately record whether your website or domain was cited.

Keep mentions and citations in separate columns. This makes it easier to calculate your Mention Rate, Citation Rate, and Share of Voice later.

Step 6: Calculate Your SOV

Once you have the data, use the mention-based formula:

• Your Brand Mentions ÷ Total Brand Mentions × 100

For example:

• Your brand = 40 mentions
• All tracked brands = 200 mentions
• AI SOV = 40 ÷ 200 × 100 = 20%

This gives you a simple competitive benchmark.

Step 7: Track SOV by AI Platforms

Your overall number can hide important differences. For example, your total SOV might be 20%, but your platform-level results could look very different:

Platform	AI SOV
ChatGPT	28%
Perplexity	21%
Gemini	15%
Google AI Overviews	12%

This tells you that your overall number is only part of the story. A platform breakdown can show where your visibility is relatively stronger or weaker.

Step 8: Track SOV Over Time

One measurement gives you a snapshot. A series of measurements shows whether your AI visibility is changing over time or you are doing something wrong.

For example:

Month	AI Share of Voice
January	11%
February	14%
March	17%
April	20%

Now you can compare the change with your content publishing, PR, product updates, partnerships, and other marketing activity.

I recommend consistent tracking across a defined prompt set, competitors, engines, locale, and schedule because those variables can materially affect the resulting SOV.

How to Increase AI Share of Voice (SOV)

The easiest mistake is to assume that publishing more blog posts automatically increases AI Share of Voice.

AI systems can use information from your website as well as third-party sources, reviews, forums, publishers, and other websites.

So improving AI visibility is not simply about producing more content. Now I am going to give some action items that help you to build more SOV.

1. Find the Prompts Where Competitors Win

Start with questions where competitors appear often, but your brand rarely appears. Then check what those competitors are known for in those answers.

They may have better comparison content, clearer product positioning, more third-party mentions, or stronger documentation. These factors can help them appear more often in AI answers.

This gives you a clear visibility gap to investigate. You can then improve the areas where your brand is missing.

2. Create Content Around Commercial Questions

Not every AI mention has the same business value.

A mention in a general educational answer may be useful for awareness, while appearing in a comparison or product-selection answer may be much closer to a buying decision.

That is why your prompt set should include category, comparison, alternative, use-case, and product-selection questions.

And let me tell you, it works well; I have experienced it; it won’t give you many visitors, but it helps to boost your sales more, which is your ultimate goal.

This also makes your SOV measurement more closely connected to the conversations that matter to the business.

I have seen many founders still digging into metrics, but nowadays sales matter more than anything, and you can’t compete with metrics nowadays.

It’s good, and in some cases it’s best, to track metrics, but don’t depend on metrics: only depend on sales and revenue, and track other metrics to stay ahead in the competition and market.

3. Make Your Product Easy to Understand

AI systems need enough clear information to understand what a company does and where it belongs.

Your homepage, product pages, documentation, comparison pages, pricing pages, and other important resources should communicate a consistent description of your product and category.

Andrew Warden, Vice President of Marketing at Adobe and former CMO of Semrush said: AI is now intrinsic to the default search experience, and brands need to adapt.

The name of the game is Brand Visibility. The foundations of SEO are critically important in creating trust signals for AI, but visibility now depends on how consistently a brand reinforces its narrative across digital channels.

Marketing teams need to redesign how they work across SEO, content, communications, data, and brand governance to compete in this new environment.”

The goal is not to repeat the same sentence everywhere. The goal is to make your product, category, use cases, and differentiators clear across the web.
In some cases, you have to use the same numbers; I have first hand experienced it,

For example, now you have an integration on 150 platforms, but if you had an integration in 2025 on 80 platforms, and you spread the word 80 all over the internet, and your influencers are also spreading your numbers.

Now AI hallucinates that you have written in one place; now we have 150 integrations (who cares). You need to again build all over 150 integration edits and in new collaboration so that AI can’t hallucinate.

Best Tools to Measure AI Share of Voice

Manual tracking works when you have a small prompt set. But once you are monitoring hundreds of prompts across several platforms and competitors, an affordable or dedicated AI visibility tool can save considerable time.

Tool	Best For	Why It’s Useful
ZeroRank AI	Affordable AI SOV tracking (AppSumo Deal – $69/ lifetime)	Shows your AI visibility as a percentage, making it easier to understand how often your brand appears in AI answers and compare that visibility with competitors (7 Platforms). It also tracks mentions, citations, prompts, and multiple AI platforms.
Semrush AI Visibility Toolkit	SEO teams	Helps existing Semrush users monitor AI visibility, brand mentions, competitors, and Share of Voice across major AI platforms.
Ahrefs Brand Radar	SEO professionals	Combines AI visibility with search data and tracks brand mentions, citations, competitors, and the pages AI uses as sources.
Peec AI	Mid-market teams	Provides prompt-level visibility tracking and helps monitor how brands appear and rank in AI recommendations.
HubSpot AI Search Grader	Beginners	Offers a simple way to get an initial view of how your brand appears in AI-generated answers without starting with a dedicated tracking platform.
Slate	B2B SaaS teams	Helps SaaS companies monitor AI visibility and incorporate Generative Engine Optimization into their broader marketing strategy.

Which AI Share of Voice Metric Should You Use?

There is no single formula that every AI visibility platform uses. Some tools calculate SOV from brand mentions, while others use citations, impressions, or weighted visibility.

That means the most important thing is not choosing a percentage that looks impressive. It is choosing a methodology that matches your goal and then keeping that methodology consistent over time.

For a simple competitive report, mention-based SOV is easy to understand:

• Your brand mentions ÷ total competitor mentions × 100

For deeper AI visibility analysis, you may also want to track citations, impressions, mention position, and platform-specific visibility.

Conclusion

AI Share of Voice shows how much of the AI-generated conversation belongs to your brand compared with competitors. It gives you a view that traditional rankings cannot provide on their own.

Start with a manual process using an Excel sheet to track prompts, competitors, mentions, citations, and AI platforms. This helps you understand your visibility before investing in a tool.

But as you track more prompts and competitors, doing everything manually can take a huge amount of time. AI visibility tools can automate much of this work and show your percentage to help you understand SOV.

If you want to save time and cover your AI visibility tracking in one place, ZeroRank AI is worth considering. Its current deal can also make it a more affordable option than paying for another monthly tool.

** FAQs **