Skip to main content

What is LLM brand health?

Understand how LLM Brand Health shows the way AI assistants like ChatGPT talk about your brand, and how to read it next to your survey data.

🚩 LLM Brand Health is a paid add-on. Request access in your Tracksuit dashboard.

🧢 Coach T’s Recap

LLM Brand Health helps you understand which brands have the strongest salience in AI answers across your category, and which brand dimensions they show up against.

Every week, we ask ChatGPT and Google AI Mode questions about your category, grouped into brand dimensions, and record which brands each answer names and which sites it cites. You’ll see the results as AI visibility and share of voice in your insights on Track progress, in your brand diagnosis and in Ask AI.


What is LLM Brand Health?

  • More and more buyers ask an AI assistant for help when they’re choosing: “What’s a good low-sugar soft drink?” The answer names a handful of brands. LLM Brand Health measures how often yours is one of them.

  • Think of it as your brand’s salience in AI answers: how readily AI brings your brand up when a buyer need comes up. Being named links your brand to that need at the moment of choice. When a competitor is named instead, the link goes to them.

  • LLM Brand Health sits beside your brand tracking survey. Your survey tells you what people think about your brand. LLM Brand Health shows how AI answers talk about it. Read the two side by side, not as cause and effect.


What does LLM Brand Health measure?

Here’s what you get 👇

  • AI visibility: the share of AI answers that mention your brand. “28% of AI answers about our category mention us.”

  • Share of voice: your brand’s share of all the brand mentions in those answers, across the brands we track for your category.

  • Brand dimensions: both measures, cut by the attributes buyers weigh when choosing in your category, such as taste, value for money or trust.

  • AI platforms: results for ChatGPT and Google AI Mode, so you can see where you’re named more or less often.

  • Cited sites: the types of websites AI answers draw on, such as news sites, review sites, communities or retailers.

“Explanation of metrics: visibility vs. relative share” goes deeper on the 2 measures, and “Explanation of dimensions and methodology” explains how brand dimensions work.


How we collect the data

  1. We build brand dimensions for your category. These are the attributes buyers weigh when choosing, built from Tracksuit’s data.

  2. We write questions for each dimension. Each dimension has its own set of questions, designed around buyer needs where a good answer would name brands.

  3. We ask every question on each AI platform, every week. We use ChatGPT and Google AI Mode.

  4. We check each answer. We record which of your tracked brands it mentions and which sites it cites.


Where you’ll see it in the dashboard

  • Track progress: LLM Brand Health insight cards sit in their own section, labeled LLM Brand health. Each card has a headline, a short explanation and a chart. Click View evidence to see the data behind it, including how many questions were asked (Questions asked).

  • Brand diagnosis: AI visibility is one of the metrics in your diagnosis. It tells you whether AI answers mention you less often, about as often or more often than most of your competitors. When your survey and AI answers tell different stories, the diagnosis says so, for example “Bring your reputation into AI answers”.

  • Ask AI: click Chat about this on an LLM Brand Health card to dig in, or try “How can I show up more in AI answers?”

  • Your own AI assistant: the Tracksuit MCP can read LLM Brand Health too. See “What data can I access via the MCP?”.
    ​

💡 Tip

  • Start with your brand dimensions. Check whether AI answers link you with the attributes you go to market on.

  • Then look at which types of sites AI answers cite, in your insights or by asking Ask AI, to see what’s shaping those answers.


What can I use LLM Brand Health for?

  • Checking you’re part of the conversation: see whether AI answers name you when buyers ask about your category, and how that compares with your competitors.

  • Testing your positioning: see which brand dimensions AI answers link you with, and which they link with your competitors.

  • Spotting gaps between people and AI: “People know us well, but AI answers rarely mention us when buyers ask about value for money.”

  • Deciding where to act: the cited sites show which kinds of sources shape the answers, such as press and reviewers, communities or retailers, so you can see where brand-building activity like PR or reviews could count.

  • Reporting up: give your board or agency a clear, repeatable read on how your brand shows up in AI answers, week after week.


A few things to keep in mind

  • It counts mentions, not sentiment. Our questions are framed so we’d typically expect brand mentions to be positive, but every mention counts, whether the answer recommends your brand or warns against it.

  • Only your tracked brands are counted. We check answers for the brands in your category’s competitor set, so a brand you don’t track won’t appear.

  • It covers ChatGPT and Google AI Mode. Not currently other AI platforms.

  • Our questions aren’t actual customer queries. We design them to understand which brands have the strongest salience in AI answers across your category and its different brand dimensions. They aren’t a sample of what people are searching for or asking AI assistants.

  • It starts when it’s turned on. We can’t backfill history, so your data starts from your first full week.

  • It’s specific to one category and market. Don’t compare a brand’s AI visibility across categories or markets.

  • Weekly results move. AI answers vary from one run to the next, so look for a change that holds across several weeks and both platforms before calling it a trend.

  • You can’t read individual AI answers in the dashboard. You see the measures and the evidence behind each insight, not the full text of each answer.


Questions? For questions, ideas or feature requests, reach out to your Brand Champion at brandchampion@gotracksuit.com.


FAQs

  • Is LLM Brand Health included in my plan?

    LLM Brand Health is an add-on you pay for. See “How do I get access to LLM brand health?”

  • Which AI platforms do you track?

    ChatGPT and Google AI Mode.

  • How often does it update?

    Every week. New LLM Brand Health insights are written each week.

  • Does a mention mean AI recommended my brand?

    Not necessarily. We count every mention, positive or negative. AI visibility tells you AI answers connect your brand with your category or a dimension, not that they praise it.

  • Why can’t I see a brand that AI answers mention a lot?

    We only count the brands in your category’s competitor set. If you think a brand is missing, let your Brand Champion know.

  • Can I choose the questions you ask?

    Not currently. We build every category’s questions the same way, so results stay consistent.

  • How can I show up more in AI answers?

    AI answers build their picture of a brand mostly from what others write and say about it, alongside your own content. That makes it ordinary brand building: a real story for the press, genuine reviews, an active presence in communities and accurate listings with retailers. Ask AI can suggest where to start, based on the sites that AI answers in your category cite.

  • Is this the same as an SEO or AI search tool?

    No. Those tools focus on rankings and traffic. LLM Brand Health is a brand health measure: it shows how strongly AI answers link your brand to the things buyers care about, so you can read it next to your survey data.

Did this answer your question?