How to Track Your Brand on ChatGPT, Perplexity, and Claude
A practical guide to monitoring how AI assistants talk about your brand—and what to do when you're missing or misrepresented.
Why track your brand across AI platforms?
When customers ask ChatGPT "What's a good [your category]?" or Perplexity "Compare [your product] vs competitors," the answer shapes their perception. If your brand isn't mentioned, or is described inaccurately, you lose trust and potential sales. Tracking gives you a clear picture so you can fix gaps and build a stronger AI presence.
What to track
Focus on three things:
- Mention rate: Does your brand appear when relevant questions are asked?
- Sentiment and accuracy: When you are mentioned, is the description correct and positive?
- Competitor context: Who else is mentioned alongside you, and how are you compared?
Run the same set of questions regularly (e.g. weekly or monthly) so you can see trends and the impact of your content and PR efforts.
How to run the checks
Manual checks work for a few queries: open ChatGPT, Perplexity, or Claude and ask questions your ideal customer would ask. Note whether you appear and how. This is time-consuming and hard to do consistently.
Automated AI brand tracking runs many queries across multiple AI platforms and records results over time. You get scores, competitor comparisons, and alerts when visibility drops or a competitor gains ground. That makes it easier to prioritize what to fix—e.g. updating your website copy, earning more backlinks, or creating comparison content.
What to do with the results
- Low or zero visibility: Improve how your brand is described on your site and in press; aim for clear, factual language that matches how people ask questions.
- Wrong or outdated info: Publish corrections and reach out to high-authority sites that might be feeding the model with old data.
- Competitors outranking you: Invest in GEO-friendly content and signals (reviews, comparisons, expert citations) so AI systems have more reason to recommend you.
Tracking is the first step. Use the data to decide where to invest time and budget, then track again to see if visibility improves.