Brand mentions in AI: how to track yours and win share of voice

In AI search, you do not win a rank on a page. You win a mention inside an answer. When someone asks ChatGPT or Gemini for the best plumber, best lawyer, or best agency near them, the assistant names a short list of businesses. Being on that list is a brand mention, and brand mentions are the real score of AI visibility. This page shows you how to track yours.

This is a focused piece on one thing: counting your mentions and measuring your share of them. For the full method of measuring AI visibility across every engine and metric, that lives on our pillar guide, how to measure AI visibility. Here we go deep on mentions and share of voice alone.

What are brand mentions in AI?

A brand mention in AI is any time an AI assistant names your business in its answer. It can be a plain name-drop in a sentence, a spot on a numbered list of options, or a cited link back to your site. All three count. The mention is the win, because the person asking the AI sees your name at the exact moment they are choosing who to hire.

This is different from a search ranking. A ranking is your position in a list of blue links that a person may or may not scroll to. A brand mention is your name placed directly inside the answer the person actually reads. In AI search, the answer often is the whole experience, so the mention is what gets you found.

How do I track brand mentions in AI search?

You track brand mentions by running a fixed set of buyer questions through the AI engines on a schedule and counting how many times each one names you. The tool is a simple spreadsheet. The method is a monthly prompt panel, which is just a saved list of questions you ask the same way every time.

Here is the panel in plain terms. Pick 10 to 20 questions a real customer would type to find a business like yours. Think "best [your service] in [your city]", "who should I hire for [problem]", and "top [your category] companies". Save that list. Once a month, paste each question into ChatGPT, Claude, Gemini, and Perplexity, and write down every brand each answer names, including yours. That count is your data.

Two rules keep the numbers honest. First, keep the questions the same each month so you compare like for like. Second, count a named mention only, not a vague match. If the AI says your exact business name, that is one mention. This counting method is the same discipline our pillar guide uses for the wider measurement work in how to measure AI visibility.

How do I check what my brand is known for in AI?

To check what your brand is known for in AI, ask each engine a plain identity question: "what is [your brand] known for?" and "who is [your brand]?". Run that question in ChatGPT, Claude, Gemini, and Perplexity. Then read each answer for two things. Is the answer correct, and is it positive.

This is a brand-accuracy check, and it is the fastest signal of a mention gap. If the AI describes your business wrong, mixes you up with another company, or gives a thin "I could not find much" answer, that means the sources AI reads do not carry enough clear, consistent mentions of your brand. A wrong answer about your brand is a missing-mention problem. The fix is to earn more accurate mentions in the places AI trusts, which is the work covered in how to get cited by AI.

What is AI share of voice?

AI share of voice is your named-mention count as a share of all the brand mentions in a set of AI answers, measured against three competitors. If you and three competitors get named 20 times in total across your monthly panel, and 5 of those are you, your AI share of voice is 25 percent. It turns a pile of mentions into one number you can track and compare.

Why AI share of voice matters more than a raw count: a raw count can rise while you still lose ground, if your competitors are named even more often. AI share of voice fixes that by measuring you against a fixed set of three competitors. It answers the real question an owner has, which is not "am I mentioned" but "am I the one AI picks over the others". Watch the share, not just the tally.

One honest note on that table. Those numbers come from Ahrefs, which sells SEO tools, and they are correlations, not proof that mentions cause visibility. Ahrefs says so itself. But the pattern is strong and it points the same way as everything we see in the field, so it is worth acting on.

Should I track sentiment or just mention count?

Track both, but do not stop at the count. A mention count tells you how often AI names your brand. Sentiment tells you whether that mention helps or hurts. A business named as "the one to avoid" is mentioned just as often as the winner, and the raw tally hides that. So for every mention you log, mark it positive, neutral, or negative.

The number to grow is your count of positive mentions, not raw hits. When you compute your AI share of voice, weight it toward positive mentions so the score reflects mentions that actually win customers. If a competitor is named more warmly than you across the panel, that gap is your work. Sentiment can also shift month to month as the engines re-read the web, which is one more reason to run the panel on a fixed schedule instead of checking once.

How do I track brand mentions in Gemini?

You track brand mentions in Gemini the same way you do anywhere else. Open Gemini, paste your saved buyer questions one at a time, and count how often it names your business versus your competitors. Gemini is just one column in your monthly panel, sitting next to ChatGPT and Perplexity.

One thing helps with Gemini specifically. It often leans on Google's own index and its AI Overviews, so the questions you use to check Google AI Overviews make a good starting set for Gemini too. If a competitor keeps showing up in Gemini and you do not, that is a strong hint about where your earned mentions and content are thin. To fix it, see how to get cited by AI.

Why do brand mentions matter so much?

Brand mentions matter because they are the single strongest signal tied to AI visibility that anyone has measured. This is the claim, and the data behind it is unusually clear for this young field.

Why it matters. If mentions are what AI visibility is built on, then chasing them is the highest-leverage work you can do. Most owners pour time into links and rankings out of old SEO habit. The data says that is not where the biggest lever is.

The proof. Ahrefs studied 75,000 brands and found that branded web mentions were the strongest correlate with AI-Overview visibility, at a Spearman score of r=0.664. That is about 3 times stronger than backlinks, which came in at r=0.218. Their own domain rating score landed weaker too, at r=0.326. The honest caveat: Ahrefs sells SEO tools, so read it with that in mind, and correlation is not proof of cause, which the study's author states plainly. Even with those flags, the message is hard to miss. Earned mentions of your brand, in the places AI reads, track more closely to AI visibility than any link metric. For the evidence view of the same idea, see how to get cited by LLMs, by the evidence.

How do I track my brand mentions in AI, step by step?

Here is the whole method in five steps. It is free and it takes about an hour a month once your question list is set.

1. List your buyer questions and competitors. Write down 10 to 20 questions a customer would ask AI to find a business like yours. List your top three competitors so you have something to measure against.
2. Run them monthly across the engines. Paste each question into ChatGPT, Claude, Gemini, and Perplexity. Do it on the same day each month so you are always comparing like for like.
3. Count the named mentions and their sentiment. For every answer, tally how many times the AI names you and each competitor, and mark whether each mention is positive, neutral, or negative. A named mention is the unit you are tracking.
4. Compute your share of voice. Divide your mentions by all brand mentions in the whole set. That percentage is your AI share of voice. Weight it toward positive mentions to reflect the ones that win customers.
5. Watch the trend. Repeat monthly and track whether your share is rising or falling. The trend over time matters far more than any single month.

If you would rather not run this by hand, our free AI-Visibility Audit does the first pass for you. It checks how the AI engines see your business and where your mentions stand against your competitors, in plain terms.

What tools track AI brand mentions?

The most reliable tool is the free manual method above, because you see the exact wording of every answer and you own the data. A spreadsheet and a monthly hour beat most software for a single local business, and it costs nothing.

Paid trackers do exist, and they split into a few categories. Some are all-in-one AI-visibility platforms that watch mentions across many engines. Some are prompt monitors that re-run a question set for you and alert you on changes. Some are share-of-voice dashboards aimed at bigger brands with many competitors. They save time at scale, but they cannot see more than a careful manual run for one business. One caution: many tool lists you find online are written by people paid to promote the tool, so read them with that in mind. We have a full, honest roundup of AI share-of-voice tools coming, so for now, start with the free method and add software only when the manual run gets too big to handle.

Common questions about tracking brand mentions in AI