Key Takeaways
- Count across a fixed set of questions, never one. Share of voice in AI answers only means something over many buyer questions asked the same way each time. One answer is an anecdote.
- Know which number you are looking at. The share of answers that name you and your share of all the names are different numbers, and they can tell very different stories.
- Count every business named, not only your rivals. The bottom of the fraction is every name across every answer. Leave out the small names and your share looks bigger than it is.
- Track where you are named, not just whether. Named first and given a full sentence is not the same as named sixth in a list. Note position alongside the count.
- Rerun the same questions to see movement. Share of voice is useful as a before and after. Change the questions between runs and the comparison stops meaning anything.
Share of voice in AI answers is the slice of all the recommendations in a set of answers that goes to you. It is borrowed from advertising, where it meant your share of all the ads in a market.
So what is AI share of voice, and how do you count it? Ask a fixed list of buyer questions, count every business each answer names, and divide your names by all the names. If ChatGPT names businesses 80 times across 25 answers and 4 of those are you, your share of voice is 5%.
Below is what the term means, three ways to count it, a worked example, why position matters, and how to count it well. The worked example and its numbers are made up.
What share of voice in AI answers means
Share of voice in AI answers means your part of every business mention across a set of AI answers to buyer questions. It answers one question: when assistants recommend someone in my niche, how much of that attention is mine?
It is a different question from "does ChatGPT know me?" A business can be well described when asked about by name and still get a small share of voice, because buyers rarely ask by name. They ask who is good, and share of voice measures what happens then.
It also differs from search rankings. The authors of the Princeton GEO study put it directly: in search, a site's visibility "is determined by its average ranking over a range of queries." An AI answer has no ranked list of ten links. It mixes several sources into one reply, so visibility has to be counted inside the answer instead.
Three ways to count it
There are three common counts, and each answers a slightly different question. Mention rate asks how often you appear at all. Share of mentions asks how much of the crowd you are. A weighted share asks how prominent you are when you do appear.
| Count | What you divide | Example | Good for | What it misses |
|---|---|---|---|---|
| Mention rate | Answers that name you, over answers asked | 4 of 25, or 16% | A quick read on whether you show up | How crowded the answers are |
| Share of mentions | Times you are named, over times any business is named | 4 of 80, or 5% | Comparing yourself to the whole field | Where in the answer you sit |
| Weighted share | Your mentions, weighted by words or position | Depends on the weighting chosen | Telling a lead mention from a passing one | Simplicity; two people can weight it differently |
| Named-first rate | Answers where you are named first, over answers asked | 1 of 25, or 4% | Seeing who the assistant leads with | Everyone named after first place |
Mention rates do not add up to 100%, because one answer can name several businesses. Shares of mentions always do. That one difference is the source of most confusion when two people compare numbers.
A worked example: one check, two answers
Here is one made-up check of 25 ChatGPT answers for a niche. The answers name businesses 80 times in total. You are named in 4 of the answers, once each, so your mention rate is 16% and your share of mentions is 5%.
25 answers, one cell each: the 4 that name you are lit
80 names across those answers, one cell each, grouped by business
- You Answers that name them: 4 of 25 (16%) Share of all 80 names: 4 of 80 (5%)
- Rival A Answers that name them: 18 of 25 (72%) Share of all 80 names: 22 of 80 (27.5%)
- Rival B Answers that name them: 12 of 25 (48%) Share of all 80 names: 14 of 80 (17.5%)
- Rival C Answers that name them: 9 of 25 (36%) Share of all 80 names: 10 of 80 (12.5%)
- Everyone else Answers that name them: Not counted per business Share of all 80 names: 30 of 80 (37.5%)
Named in 16% of answers, but only 5% of all the names. The same four mentions, counted two ways.
Every number in the example is illustrative. The point it makes is real: 16% sounds like a foothold, and 5% sounds like a rounding error, and both describe the same four mentions. Rival A's 72% and 27.5% describe the same answers too.
That is why a share of voice figure is meaningless without its denominator. When you baseline your competitors in AI answers, write down which count you used, and use the same one next time.
Why position and length matter
Position and length matter because a buyer reads the top of an answer more closely than the bottom. Being the business the answer leads with, described in a full sentence, is worth more than a name at the end of a list.
The Princeton GEO researchers built two measures around this. Their "Word Count" measure is the share of the answer's words in sentences that cite a source. Their position-adjusted version reduces the weight of a source "by an exponentially decaying function of the citation position," so a source cited early counts for more. They measured cited websites rather than named businesses, but the logic carries over.
You do not need their formula to use the idea. Note, for each answer, whether you were named first, named in a full sentence, or named in passing. Over 25 answers that turns a single share into a picture of how you are named. What a strong result looks like over a larger set is covered in what good looks like in a 125-question result.
How to count it well, and what it will not tell you
Count it well by fixing everything except the answers: the same questions, the same assistants, the same setup, the same counting rule. Then the number can move only because the answers moved.
- Write the questions buyers ask. In their words, for your niche, and keep the list.
- Ask each one the same way. A fresh, signed-out or unpersonalized session, so your own history stays out.
- Record every business named. Not only your known rivals; the small names belong in the bottom of the fraction.
- Note position. First, in a full sentence, or in passing.
- Rerun the identical list. Compare like with like, and read the change, not the single number.
Count more than one assistant if you can. Google says its AI Overviews and AI Mode may use a technique of "issuing multiple related searches across subtopics and data sources" to build a response, so one assistant's answer already draws on many searches, and a different assistant draws on different ones.
One honest limit. Share of voice tells you how much of the attention you hold, not why. A low share can mean your pages are thin, or that a niche is crowded with long-established names, and the number alone cannot say which. That is the job of reading the answers themselves, which is covered in how to read an AI visibility report.
The free check asks ChatGPT 25 real buyer questions from your niche at $0 and emails a plain-English readout: your score, who got named in your place, and the one fix to start with. It runs as soon as you ask for it, and the report lands within the hour between 7am and 5pm Central, or by 10am the next morning outside those hours.
Questions we hear the most
What is share of voice in AI answers?
It is the part of all the business recommendations in a set of AI answers that goes to you. You ask a fixed list of buyer questions, count every business each answer names, and work out what share of those names are yours.
How do you calculate AI share of voice?
Divide the number of times you are named by the number of times any business is named, across the same set of answers. If 25 answers name businesses 80 times and 4 of those are you, your share of voice is 5%.
Is share of voice the same as how often AI mentions me?
No. How often you are mentioned is usually counted per answer: named in 4 of 25 answers is 16%. Share of voice divides by every name in those answers, so the same four mentions can be 5%.
How many questions do you need to measure AI share of voice?
Enough that one odd answer cannot swing the result, asked the same way each time. A few dozen real buyer questions is a sensible floor, and the same list must be reused for every later run.
Does it matter where in the answer I am named?
Yes. Researchers behind the Princeton GEO study proposed weighting a source by how many words of the answer it accounts for, and giving more weight to sources cited earlier, because readers are more likely to read the top.
What is a good AI share of voice for a coach or consultant?
There is no universal benchmark, because it depends on how many businesses get named in your niche. The useful comparison is against the rivals named for the same questions, and against your own number on the last run.
Does the AnswerHalo free check show my share of voice?
It shows the pieces you need: the free check asks ChatGPT 25 real buyer questions from your niche at $0 and emails your score and who got named in your place, plus the one fix to start with.
How does the AnswerHalo audit measure competitors?
The full audit is $500 once and runs 125 checks across ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews, landing by this time tomorrow. Ongoing watching is $399 a month, or $300 a month added with the audit.
Your buyers are already asking. Find out what AI tells them.
The free check asks ChatGPT 25 real buyer questions about your niche and sends you the report within the hour, at $0. If it shows you are already getting named everywhere, we will say so in plain words.
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