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How to Track Your Brand Mentions in ChatGPT (Step-by-Step)

March 2, 20262 min read

How to Track Your Brand Mentions in ChatGPT (Step-by-Step)

Why this is harder than it sounds

The most common request from marketers in 2026 is "how do I track our brand in ChatGPT?" The honest answer: there's no Search Console for AI. ChatGPT doesn't publish a list of which prompts mentioned your brand. You have to build the visibility yourself, and it's more manual than most people want it to be.

Step 1: Define your prompt set

Build a stable set of 50-100 prompts that cover the questions your customers actually ask. Start with four buckets: branded prompts, category prompts, use case prompts, and comparison prompts. Aim for 10-15 per bucket. Don't change the set frequently, you need a stable population to measure trends against.

Step 2: Run the prompts consistently

Run every prompt at the same cadence: daily, every other day, or weekly. Use the same model version each time, results vary across versions. Capture the full response text, not just whether your brand appeared. You'll want to re-read these later.

Step 3: Score each response

  1. Was your brand mentioned at all?
  2. If yes, in what position?
  3. Was the mention positive, neutral, or negative?
  4. Which competitors were also mentioned?
  5. Did the response cite any URLs?

Step 4: Calculate the metrics that matter

  • Citation rate, % of prompts where your brand was mentioned
  • Average position, when mentioned, where in the list
  • Sentiment score, average positivity of mentions
  • Share of voice, your mentions vs competitor mentions

Step 5: Track trends, not snapshots

AI citations are volatile. We're talking 40-60% of cited sources changing month-to-month. You need at least 4-6 weeks of consistent data before trends become meaningful, don't draw conclusions from a single week's run.

Step 6: Connect findings to action

If your citation rate is low, study the responses where you weren't mentioned and look at who was. If sentiment is dropping, find the responses with negative framing and check what sources the AI is pulling from. Measurement without action is just reporting. The teams that close the loop between data and content changes are the ones whose AI visibility actually improves.