AI search glossary
What Is AI Share of Voice, and How Do You Calculate It?
AI share of voice is the number a CEO asks for once AI search starts showing up in board decks. Here is a formula you can audit, a worked example, and the limits every tool has.
What is AI share of voice? The short answer
AI share of voice is the share of brand mentions your company wins in AI answers to a fixed set of buyer prompts, compared with competitors. You count every brand named across the answers, then divide your mentions by the total. It shows relative presence, not traffic or revenue.
Key takeaways
- The number depends entirely on the prompt panel behind it.
- Formula: your mentions divided by mentions of all tracked brands.
- Keep branded prompts out of the main figure, or it inflates.
- Bing Webmaster Tools reports a first-party Citation Share for Microsoft’s AI answers.
- Google says no third-party tool can see its internal ranking or AI systems.
AI share of voice mechanics: prompts, engines and answer records
AI share of voice is built from three inputs. A prompt panel is the list of buyer questions you test. The engines are the AI tools you ask, such as ChatGPT, Perplexity, Gemini, Copilot or AI Overviews. The answer record is a saved copy of every reply, with the brands named.
The panel should read like real buyers. “Best CNC machine supplier for a small workshop” is a buyer question. “Is [your brand] good” is not.
Answers change between runs, even for the same prompt. So each prompt is asked more than once, and every answer is kept.
Saved records matter more than the final figure. When a number moves, the records show which answers changed and why.
Engine choice depends on the market. A Delhi D2C brand and a Toronto clinic will not have the same buyers using the same tools.
Digital Magma asks clients which assistants their customers mention on sales calls before fixing the list.
Signed-in state matters as well. Some assistants use memory or account history, so run the panel from a clean, signed-out session where the tool allows it.
AI share of voice formula with a worked example
AI share of voice equals your brand mentions divided by mentions of every tracked brand, across the same panel and period. Count each brand once per answer. The example below is an illustration with invented numbers, not client data, using a panel of 20 prompts run three times.
| Brand | Mentions | AI share of voice |
|---|---|---|
| Brand A (you) | 18 | 18 / 60 = 30% |
| Brand B | 24 | 24 / 60 = 40% |
| Brand C | 12 | 12 / 60 = 20% |
| All others | 6 | 6 / 60 = 10% |
Here, 60 brand mentions were counted. Brand A has 18 of them.
A second view helps. Brand A appeared in 18 of 60 answers, which is its mention rate. Brand B leads on both counts.
Weighting is optional. Some teams count a first-named brand higher. If you do, write the rule down and never change it mid-year.
AI share of voice vs citation share, mention rate and classic share of voice
AI share of voice sits beside three related metrics that measure different things. Mention rate is absolute: how often you appear at all. Citation share counts links to your pages, not brand names. Classic share of voice comes from advertising and measures spend or impressions against rivals.
| Metric | What is counted | Compared with |
|---|---|---|
| AI share of voice | Brand names in AI answers | Rival brands on the same panel |
| Mention rate | Answers that name you | All answers checked |
| Citation share | Links to your site | All source links shown |
| Classic share of voice | Ad spend or impressions | The category total |
Microsoft defines its own version. Bing’s Citation Share, added on 16 June 2026, is your share of all citations shown for one grounding query.
Microsoft calls it observational, not a scoreboard. It does not show which competitors took the rest.
AI share of voice for a business: why it matters
AI share of voice matters because AI answers name only a few brands, and buyers often stop at that shortlist. A rising share tells leadership the brand is entering more of those lists. A falling one is an early warning, often before organic traffic moves at all.
It also settles arguments. A clear panel shows which competitor the assistants prefer, and for which questions.
That points the content work. If Brand B wins every pricing prompt, your pricing page is the first thing to fix.
Split the panel by topic and the picture gets sharper.
A brand can lead on “how it works” questions and vanish on “who sells it near me” questions. Each gap names a page to write or repair.
AI share of voice tracking: 6 steps
AI share of voice tracking needs a fixed method more than a clever tool. Digital Magma uses these six steps, and each choice is written into the report so a new analyst can repeat it exactly. Changing any step resets the trend line.
- Write 20 to 50 buyer prompts. Use sales calls, support tickets and People Also Ask boxes. Add Hindi prompts if your buyers search in Hindi.
- Keep branded prompts separate. Questions naming your brand go in their own panel.
- Pick the engines. Choose the tools your buyers use. Test each one the same way.
- Run each prompt at least three times. Answers vary, so one run proves little.
- Record every answer. Save the text, the brands named, the links shown and the date.
- Calculate monthly. Same panel, same engines, same counting rule.
Location changes answers too. Run local prompts from the city your buyers are in, or note where they were run.
AI share of voice tools and their limits
AI share of voice tools fall into two groups. Bing Webmaster Tools reports first-party citation data for Microsoft’s own AI answers. Everything else samples prompts from outside and counts what comes back. Both are useful, and neither sees inside Google.
Bing’s AI Performance report, launched 10 February 2026, covers Copilot, Bing AI summaries and some partner experiences.
Third-party trackers describe their own methods. Ahrefs says Brand Radar shows AI visibility across 495 million prompts. Peec AI says it monitors the prompts you choose.
Google’s generative AI guide adds the caution: “No third-party tool has access to our internal ranking or AI systems.”
So treat any vendor score as a sample. Check its prompt list before you trust its trend.
A spreadsheet is a fair starting point: one tab per engine, one row per answer, brands in their own columns.
It is slow, but every number can be checked, which is why Digital Magma recommends it before any paid tracker.
AI share of voice in Digital Magma reports
AI share of voice appears in Digital Magma client reports next to the prompt list that produced it, never on its own. Clients see the questions, the engines, the run dates and the saved answers. That way any change can be traced back to a specific reply.
For a Canadian welding equipment manufacturer, the useful signal was presence itself. The brand now appears in ChatGPT and AI Overviews answers for product questions, alongside 40+ keywords in Google’s top 10.
The figure always comes second to the record. A number without its panel is just a guess with decimals.
AI share of voice: frequently asked questions
AI share of voice questions from marketing heads, answered briefly.
What is AI share of voice?
It is your share of brand mentions in AI answers to a fixed set of buyer prompts, compared with rival brands on the same prompts.
How do you calculate AI share of voice?
Divide your brand mentions by the mentions of all tracked brands, across the same prompts, engines and period. Count each brand once per answer.
What is a good AI share of voice?
There is no universal benchmark. Compare yourself with the category leader on your own panel, and watch the direction month to month.
Which tools measure AI share of voice?
Bing Webmaster Tools gives first-party citation data for Microsoft’s AI answers. Tools such as Ahrefs Brand Radar and Peec AI sample prompts. A spreadsheet and a fixed panel also work.
How many prompts do I need for a reliable number?
Start with 20 to 50 real buyer prompts, each run at least three times. Fewer prompts make the figure swing with every small change.
Should branded prompts count in AI share of voice?
Keep them separate. A prompt that names your brand will almost always mention you, which inflates the main figure.
How often should AI share of voice be measured?
Monthly suits most businesses. Weekly runs mostly capture noise unless you have just launched major content.
AI share of voice you can audit
Digital Magma builds your prompt panel, runs it on the engines your buyers use and reports the share with every answer saved. See our AI SEO service or book a free SEO audit.
No share is guaranteed. Call +91 79823 19697, email contact@digitalmagma.com or message on WhatsApp (Mon–Sat, 9 am–9 pm IST). You can read our Google reviews before you get in touch.