Guide · AI brand monitoring
AI brand monitoring: how to track what AI says about your brand
AI brand monitoring is checking, on a schedule, what AI assistants and AI search engines say about your brand: whether they mention you, how they describe you, which competitors they name instead, and which sources they cite. It is the AI-answer counterpart of social listening and rank tracking.
Why monitor AI answers
People now ask ChatGPT, Gemini, Perplexity, Microsoft Copilot and Google's AI Overviews and AI Mode for recommendations and comparisons before they ever reach your site. The answer they read may name you, name a competitor instead, or describe you with an outdated price or a feature you dropped years ago.
None of that shows up in classic brand monitoring. Social listening covers what people post, rank tracking covers where links appear, and neither shows the text an AI writes in a private conversation. The only way to know is to ask the engines the same questions your buyers ask and read the answers.
What to monitor
- Mentions. Is your brand named in the answer at all, and for which questions.
- Position. Where you appear among the brands an answer lists. First in a list of five is a different outcome from fifth.
- Share of voice. How often you are mentioned compared with the competitors you care about, over the same set of questions.
- Description and sentiment. Whether the answer describes you accurately and positively, neutrally or negatively.
- Citations. Which pages the engine cites, and whether any of them are yours.
- Accuracy. Prices, plans, features, locations and leadership facts that the answer states about you.
The AI visibility guide defines these metrics in more detail.
How to set up AI brand monitoring
- Write the prompts. List the questions your buyers ask, in full sentences: category questions, comparisons, alternatives and problems your product solves. Keep most of them unbranded, because those are the questions where you can win or lose a recommendation.
- Choose engines and countries. Cover the engines your audience uses, and run prompts in each country you sell in, because answers differ by location.
- Name your competitors. Share of voice only means something against a fixed list of brands.
- Run on a schedule. AI answers vary between runs and change as engines update. Daily or weekly checks over weeks give you a trend; one screenshot does not.
- Read the sources. Note which domains are cited across prompts. They show where your reputation is being formed.
What to do when an AI gets your brand wrong
There is no form for correcting an AI answer directly. Answers are built from what the model learned in training and from the pages it finds when it searches, so the fix is to change those pages.
- Fix your own pages first. Make the correct facts easy to find and quote on your homepage, pricing and product pages, and remove outdated versions.
- Find the source of the error. Check the citations on the wrong answer. An old review, a stale directory listing or an outdated comparison is often the cause.
- Correct the outside sources. Update your profiles and listings, and ask publishers to correct factual errors about you.
- Re-check over time. Search-based answers can change soon after a source is updated; what the model learned in training changes only with new models.
The AI search optimization guide covers how to improve your visibility once you know where you stand.
Manual checks or a tool
A handful of prompts in one engine can be checked by hand in a spreadsheet. It stops scaling quickly: dozens of prompts across six engines and several countries, run repeatedly, is hundreds of answers a week to read, each with its own list of brands and sources. A tracking tool runs the prompts on a schedule, parses mentions and citations, and keeps the history so you can see trends instead of snapshots.
Measure it with AnswerTrack
AnswerTrack asks ChatGPT, Google AI Overview, Google AI Mode, Gemini, Perplexity and Microsoft Copilot the questions your buyers ask, automatically once a day, in the country you choose for each prompt. Every answer is stored with the sources it cited, and each one is checked for your brand name and domain.
You get mentions, position in the answer, share of voice against the competitors you track, citations and sentiment, per engine and over time. Prompts are grouped into topics, the gaps become a ranked list of actions, and an on-demand AI readiness audit checks your own site's robots.txt, sitemap and llms.txt.
Plans from $19/mo. 7-day trial.
FAQ
What is AI brand monitoring?
AI brand monitoring is regularly checking what AI assistants and AI search engines such as ChatGPT, Gemini, Perplexity, Microsoft Copilot and Google's AI Overviews say about your brand: whether you are mentioned, how you are described, which competitors are named and which sources are cited.
How is AI brand monitoring different from social listening?
Social listening tracks what people post publicly. AI brand monitoring tracks what AI engines write in their answers, which are generated for each user and never published, so they can only be seen by asking the engines the same questions on a schedule.
Which AI engines should I monitor?
The ones your buyers use. For most brands that means ChatGPT, Google AI Overviews and AI Mode, Gemini, Perplexity and Microsoft Copilot, checked in each country you sell in.
How often should I check AI answers about my brand?
Often enough to see a trend. AI answers vary from one run to the next, so daily or weekly checks of the same prompts over several weeks are more reliable than occasional spot checks.
Can I correct what ChatGPT or Gemini says about my company?
Not directly. Fix the facts on your own pages, find the outdated sources the answer cites and get them corrected, then keep checking the same prompts to see when the answer changes.
What does an AI brand monitoring tool track?
Typically mentions, position in the answer, share of voice against competitors, sentiment and the sources cited, per engine and over time. AnswerTrack checks all of these every day, across up to six AI engines.