Enter how many AI answers named your brand and how many brand mentions those answers held in total. You get your share of voice, the formula with your numbers in it, and how far one mention moves the result. It all runs in your browser: nothing is fetched and nothing is sent.
This is your count, worked out. Verand did not see the answers or measure anything: the share is only as good as the prompts and the counting rule behind the two numbers.
Your mentions divided by all brand mentions, times 100. A mention is one answer naming a brand, so a brand named three times in one answer counts once. That is the rule Verand's AI-visibility dashboard uses. This page shows one decimal; the dashboard rounds to a whole percent.
Two numbers you type, and arithmetic in this page. Nothing is sent, no prompt is run and no AI assistant is asked anything. The result describes your count. It is not a measurement Verand took.
Whether your prompts are the questions buyers ask, whether every answer was counted the same way, which assistants the answers came from, whether a mention was favourable, and whether any answer cited your site. A small sample swings with every mention; the card shows by how much.
Four steps, the last of which is this calculator. The card is a worked example in motion, looped, and each step lights up while the card is doing it.
Planners often named: Your firm, Rival A and Rival B.
Rival A lists its fees; so does Rival C. Rival A offers a first call. named twice, counted once
Options include Your firm and Rival A.
Rival B, Rival A and Your firm appear in reviews.
Write down the questions a buyer would ask an assistant, without your brand name in them, and keep the list. Every later run uses the same wording, or the numbers stop being comparable.
Ask each assistant you care about and save the full answer, including the ones that name nobody. An answer that leaves you out is part of the sample, not a reason to rerun.
For every answer, note which brands it names. Rival A named twice in one answer is one mention. Add up yours, then everyone's, including yours, for the total.
Your mentions over the total, times 100. Three of ten is 30%. With only ten mentions, each one is ten points, which is why the calculator shows what one mention is worth.
Share of voice is a ratio: how much of a category's attention goes to you. In AI answers the attention is a brand named in the reply. The arithmetic is simple. The hard parts are what you count, how many answers you count, and what you are allowed to say about the result.
Share of voice started as an advertising measure: a brand's share of all the ad spend or impressions in its category. Public relations teams borrowed it for press coverage, and social teams for mentions online. Each time the question was the same one. When people in this market hear about a brand, how often is it us?
AI assistants add a new place to ask it. Someone types "best fee-only financial planner in Denver" into ChatGPT or Perplexity, and the answer names three or four firms. Being one of them is the new version of being on the first page. AI share of voice is your share of the brand mentions across a set of those answers.
Every share of voice calculation is the same division. Count the mentions of your brand, count the mentions of every brand in the same answers including yours, divide the first by the second, and multiply by 100.
// share of voice formula share of voice = your mentions ÷ all brand mentions × 100 // the worked example in the card above: 4 answers Your firm 3 Rival A 4 Rival B 2 Rival C 1 total 10 share of voice = 3 ÷ 10 × 100 = 30%
That is all a share of voice calculator, or SOV calculator, does. This one adds two things the division leaves out: the other brands' share of the same total, and how far the result moves when one answer goes the other way, which is the part most people skip.
The number means nothing unless the questions stay the same. Change the prompts and the share moves because the questions changed, not because your visibility did. So the first job is a written list: the questions a buyer in your market would actually type, phrased the way they would phrase them, and saved so every later run asks the same thing.
Two rules keep the list honest. Leave your brand name out of the prompts, because a question that names you will mention you almost every time and inflate the share. Verand's dashboard offers an unbranded view for exactly that reason. And cover the whole buying journey, not only the questions you already win: "how do I choose", "what does it cost", "who is best for" and the comparisons.
A mention is an answer naming a brand in its text, counted once per answer. A reply that names Rival A three times still gave Rival A one slot in that answer, and counting all three would reward repetition rather than presence. Count common variants of each name the same way, such as an abbreviation or the name without "LLC", and decide before you start which brands are in the total.
That last choice changes the denominator. "All brand mentions" can mean every brand any answer named, or only you and the competitors you track. Verand's dashboard uses the second: your mentions against you plus your tracked competitors. Either works if you keep it fixed. Switching between them makes a trend line that measures your spreadsheet, not the market.
Two numbers get confused here. Visibility, sometimes called mention rate, is the share of answers that name you at all. Share of voice is your share of all the brand mentions in those answers. The worked example shows how far apart they can sit.
| Measure | Question it answers | Worked example |
|---|---|---|
| Visibility | How many answers name you? | 3 of 4 answers, 75% |
| Share of voice | How much of the conversation is you? | 3 of 10 mentions, 30% |
A firm can be named in most answers and still hold a small share, because every answer names four rivals beside it. The reverse happens too, in a thin category where answers name one or two firms. Report both, and do not let a high visibility figure stand in for share.
A mention is your name in the answer's words. A citation is your website among the sources the answer links to. They measure different things, and an assistant can do one without the other: it can name your firm and cite a directory, or cite your article and recommend a competitor. Verand records them separately for the same reason, and so should a spreadsheet. This calculator works on mentions. A citation share is the same division over cited sources instead of named brands.
Run the same prompts through different assistants and the share will not match. Perplexity searches the web for most questions and shows its sources. Google AI Overviews and Google AI Mode are built on Google Search. ChatGPT, Gemini and Claude can answer from what the model already learned or search the web, depending on the question and the settings. Different sources produce different shortlists.
So keep a share for each assistant as well as the combined figure. A combined 25% can hide a strong position in one assistant and near-absence in another, and the fix for each is different. Pooling answers from several assistants into one total is fine if you keep the mix the same from one run to the next.
There is no official sample size, and any page that gives you one is guessing. What the arithmetic does tell you is how much each mention weighs. With 20 mentions in the total, one mention is 5 points of share. With 200, it is half a point. A move from 30% to 35% on a total of 20 is one answer going your way, which is well within the difference between two runs of the same prompt.
That run-to-run difference is real. The same prompt asked twice can produce two different shortlists, which is why careful writers on the subject call share of voice directional rather than exact. Treat a small sample as a rough reading, grow it with more prompts and more runs before you act on a small change, and use the calculator's "one more, one fewer" line to see whether a change is bigger than a single answer.
The value is in the trend, not in one reading. For the trend to mean anything, four things have to stay the same between readings: the prompt list, the assistants, the set of brands in the total, and the counting rule. Compare equal windows, such as this month against last month, rather than a single day against a month, and note anything that changed on your side, such as a new page or a site change, so you can line it up against the curve later.
Most pages on this subject treat the share as a scoreboard to show off. For a regulated firm it is a factual claim, and factual claims in advertising need support. The FTC's position is that an objective advertising claim needs a reasonable basis before it is made. For registered investment advisers, the SEC's Marketing Rule (Rule 206(4)-1) bars an advertisement that includes a material statement of fact the adviser does not reasonably believe it can substantiate if the SEC asks. "We lead AI answers in our category", resting on a few dozen prompts you wrote yourself, is hard to support that way.
The safer use is internal: a number the team tracks to decide what to write next. If you do publish it, say what it rests on: the prompts, the assistants, the dates, the brands in the total and the counting rule. Then run the copy past whoever reviews your advertising. This page describes the question; it is not legal advice.
A written prompt list with no brand names in it. The same assistants every time, with a share for each. A fixed set of brands in the total, and one mention per brand per answer. A total large enough that one answer does not swing the result by more than you care about, and readings compared in equal windows. None of that tells you why the share is what it is, and no calculator can. It tells you whether the share is moving, which is the question worth tracking.
Six things that are true of this tool, each one backed by a line in the code that runs it.
Type two numbers and the share appears. There is no account, no form to fill in first and nothing held back behind an email address.
The calculation runs in your browser. Pressing Calculate sends nothing: your counts never leave the page, and there is no form behind it that could keep them.
The card prints the division with your numbers in it, the other brands' share of the same total and the result one answer either way. Same numbers in, same result out.
Your mentions over all brand mentions, one mention per brand per answer: the ratio Verand's AI-visibility dashboard computes for customers. The dashboard rounds to a whole percent; this shows one decimal.
A share from 20 mentions and a share from 2,000 look alike as percentages. The card says what one mention is worth at your sample size, so a one-answer swing is not read as a trend.
There is no server behind the calculation, so there is nothing to meter. Use it as often as you like, and it keeps working with the connection off once the page has loaded.
The formula, what to count, how much to count, and what to do with the number.
Run a fixed set of prompts through the AI assistants you care about, note which brands each answer names, and count each brand once per answer. Divide your mentions by the total mentions of every brand, yours included, and multiply by 100. Three mentions out of ten is 30%. This calculator does the division and shows the formula with your numbers, the other brands' share and how far one answer moves the result.
An answer naming a brand in its text, counted once per answer however many times the name appears. Count common variants the same way, such as an abbreviation or the name without "LLC". A link to your site among the answer's sources is a citation, not a mention, and belongs in a separate count. This is the rule Verand's AI-visibility tracking uses: a brand named in an answer is one mention, and a cited domain is recorded separately.
There is no official number. What matters is the size of the total: with 20 mentions, each one is 5 points of share; with 200, half a point. The same prompt can also return a different shortlist on a second run, so treat a small sample as directional. More prompts, more assistants and repeated runs all grow the total. The calculator's "one more, one fewer" line shows whether a change is bigger than a single answer.
There is no standard, and the tiers some pages publish (above a given percentage means category leader) carry no source. Two comparisons are honest. The first is an equal split: with five brands in your total, 20% each is the even share, so above it you hold more than your part. The second is your own trend on the same prompts, assistants and brands. A rising share in a crowded category can matter more than a high one in a thin category.
A mention is your brand named in the words of the answer. A citation is your website among the sources the answer links to. An assistant can do either without the other: name your firm while citing a directory, or cite your article while recommending a competitor. Share of voice, as this calculator works it out, is built on mentions. A citation share is the same division over cited sources, and it is worth tracking beside it rather than instead of it.
Carefully, if at all. A published share is a factual claim, and claims need support: the FTC expects a reasonable basis for objective advertising claims, and the SEC's Marketing Rule bars registered investment advisers from material statements of fact they cannot substantiate on request. A lead in AI answers resting on prompts you wrote yourself is hard to support. Keep the number internal, or publish it with its method (prompts, assistants, dates, brands counted) and have your advertising reviewed first. A share of voice tool gives you the figure, not permission to advertise it. This is not legal advice.
A calculator needs you to run the prompts and do the counting. Verand runs a fixed set of prompts on up to six AI assistants, depending on plan: ChatGPT, Gemini, Google AI Overviews, Google AI Mode, Perplexity and Claude. It counts which brands every answer names and reports your share of voice with the citations, position and sentiment behind it, next to your Google rankings. It writes articles from your own expertise, and gates every draft so a claim your regulator would not allow never publishes.
Content built to rank in
Google and get cited by
ChatGPT
Perplexity
Gemini
Claude, with every claim checked before it goes live.