Can I just ask ChatGPT about my brand myself?

You can, and you should — once. What that will not give you is a rate, an interval, or a comparison over time, and those are the parts that turn an impression into something you can act on.

How often should I re-check?

Monthly is usually enough. Models do not change daily, and checking more often mostly measures the variance between runs.

Do you track mentions on social media too?

No. This is specifically about what AI assistants say when asked. Social listening is a different tool and there are good ones.

What about the answers being wrong?

They often are. We do not verify them — we record them. A confidently wrong answer about your company is exactly the thing worth knowing about.

Brand mentions, not rankings

Track how AI talks about you

A rank tracker tells you where your page sits in a list. It cannot tell you whether an assistant recommended you, named a competitor instead, or said something about you that stopped being true two years ago. Those need a different instrument.

See what AI says about you The formula

How brand mention tracking in AI works

Short answer. You ask the models the questions your buyers ask, repeat each question several times, and count how often your brand is named — then read what was said around the name. There is no index to query and no API that returns “your position”: the only way to know what an assistant says about you is to ask it, many times, and record the answers.

Three details separate a measurement from a screenshot:

Repetition. The same question asked twice can produce different brands. One run is an anecdote; the spread across runs is the data.
Non-branded questions. Asking “tell me about {your company}” always produces a mention and measures nothing. The questions that matter never contain your name.
Mode. A model answering from memory and the same model answering with web search give different results, and only one of them can be influenced this quarter.

What a mention rate is — and is not

Mention rate = answers that named the brand ÷ all runs × 100, with a Wilson 95% interval. The interval is not decoration: at twenty runs, a rate of 30% and a rate of 45% can be the same underlying reality. Without it you will celebrate noise and panic at noise in equal measure.

It is not a market share, not a quality score and not a forecast of revenue. It measures one thing: how often an assistant put your name in an answer to a question a buyer might ask.

What to do with what you find

Questions where a competitor is named

The most useful output. Each row is a specific question where the assistant recommended someone else — that is a page you have not written or a source you are not on.

Sources the model cites

When a model searches, it links. The domains it keeps linking to in your field are where you need to appear — often a directory or a comparison article, not your own blog.

Claims that are wrong

Models repeat old positioning confidently. If an assistant tells buyers you do something you stopped doing, that is a correction with a clear address.

Models where you are invisible

Coverage differs sharply between assistants. Being strong in one and absent in another is normal — and worth knowing before you spend on either.

Which assistants are worth tracking

Whichever ones your buyers open. For most English-language markets that means ChatGPT first, then whatever is embedded in the tools people already use. If any part of your audience is Russian-speaking, two more belong on the list and no Western tracker covers them — Alisa AI and GigaChat.

Find out what AI says about your brand

Free, no sign-up. Every raw answer is shown, with model, mode and confidence.

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Common questions

Can I just ask ChatGPT about my brand myself?: You can, and you should — once. What that will not give you is a rate, an interval, or a comparison over time, and those are the parts that turn an impression into something you can act on.
How often should I re-check?: Monthly is usually enough. Models do not change daily, and checking more often mostly measures the variance between runs.
Do you track mentions on social media too?: No. This is specifically about what AI assistants say when asked. Social listening is a different tool and there are good ones.
What about the answers being wrong?: They often are. We do not verify them — we record them. A confidently wrong answer about your company is exactly the thing worth knowing about.