Can I set up a Google Alert for ChatGPT mentions?

No. Chatbots generate answers on the fly rather than publishing pages, so there’s nothing for an alert to crawl. You track mentions by repeatedly asking the assistants your buyers’ questions and recording whether you appear.

How many times should I repeat each question?

Several times per question, in fresh sessions, a handful at minimum. Answers vary run to run because the models have randomness built in, so a single result can be misleading either way. What matters is the average.

Which AI chatbots are worth tracking for brand mentions?

At least ChatGPT, Perplexity and Gemini, plus Google AI Overviews if your buyers use Google’s AI answers. Each draws on a different index, so tracking only one leaves most of the picture blind.

Do I need a paid tool to track AI mentions?

Not to start, a manual test in the browser is free and enough for a first read. A paid tracker becomes worthwhile when you want a consistent trend across several engines over time without repeating the whole process by hand.

How to track your brand mentions in AI chatbots

To track your brand mentions in AI chatbots, ask each assistant the buyer questions your customers actually ask, record whether your name shows up, and repeat over time across ChatGPT, Perplexity and Gemini. You can start by hand in minutes; once you want a trend across engines, a dedicated tracker does it for you.

Brand monitoring used to mean watching Google, social media and the press. There’s a new surface now: the AI chatbots people ask for recommendations. When someone asks ChatGPT “who’s the best for [your category]?”, your brand is either in that answer or it isn’t, and unlike a social mention, no alert fires to tell you.

Key takeaways

Tracking AI mentions means measuring how often assistants name you in answers to real buyer questions, not just whether you exist online.
The manual method is free: ask each chatbot your customers’ questions in fresh sessions and log whether you appear.
Track all the major engines. Mentions in ChatGPT tell you little about Perplexity or Gemini, each sees the web differently.
One check proves nothing. Answers vary run to run, so what matters is your average share of answers over time.
Record more than presence: your position, who outranks you, and which sources the assistant cites for them.

What does tracking brand mentions in AI chatbots actually mean?

It’s not the same as a Google Alert. A chatbot doesn’t publish a page you can scrape for your name, it generates a fresh answer each time someone asks. So “tracking mentions” here means repeatedly asking the assistants the questions your buyers ask, and recording whether, where and in what context your brand comes up.

The useful metric isn’t a single yes/no. It’s a share: out of, say, twenty runs of a buyer question, how many name you, and is that number moving up or down over weeks. That’s the signal that tells you whether your work is landing.

How do I track AI mentions manually?

You can do a solid first pass yourself, for free. Open each chatbot with web search on and ask as a customer who doesn’t know you yet, not “do you know brand X?” (the model will politely agree), but the open question a buyer would type:

Category, “Which companies do you recommend for [service]? Name specific ones.”
Buying intent, “I need [product] for [type of customer]. What do you recommend and why?”
Comparison, “Compare [your brand] with [competitor]. Which is better when [scenario]?”

For each run, note whether you appear, in what position, and which sources the assistant cites. Repeat each question several times in fresh sessions, because answers shift run to run. Do this across ChatGPT, Perplexity and Gemini with the same question set so the results are comparable.

Which chatbots should I track, and why all of them?

Track every major assistant your buyers use, because there’s no single “AI visibility”. Each chatbot is fed by a different index and weighs sources differently, so being named in one says little about the others, same site, same content, different result.

From my own experience

The first time I did this by hand I nearly drew the wrong conclusion from a single good run. When I asked the same question again an hour later, half the names had changed, including whether mine showed up at all. That run-to-run swing is the whole reason a one-off check is worthless here: only the share across many runs, watched over weeks, actually tells you anything.

Piotr Czerwiński · Founder, CiteLyzer & HiddenJobs

How often should I track, and what should I record?

Check at least monthly, or every two weeks if you’re actively working on visibility. The manual approach answers “am I here today?” but not “is this better than last month?”, and the second question is the one that tells you whether your effort is working. To answer it you need to log results consistently over time:

Your share of answers per engine, the percentage of runs that name you, tracked week over week.
Who outranks you, the competitors named more often, and the sources (articles, rankings, reviews) the assistants cite for them.
Your biggest gaps, the buyer questions where you’re most often absent.

Doing this by hand works to start, but repeating a full question set across three or four engines, several times each, week after week, quickly becomes a job in itself. That’s the point where a dedicated tracker earns its place: CiteLyzer runs the questions for you and turns them into one view of where you’re mentioned across ChatGPT, Perplexity, Gemini and Google AI Overviews, and how that share moves over time.