Track your brand across ChatGPT, Gemini and Perplexity
Koalr runs the questions your buyers actually ask across seven AI engines, then shows which answers name your brand, which name a competitor instead, and which sources the engine used to decide. You get a visibility score per engine and the prompts behind it, refreshed on every scan.
One tracked prompt in Koalr, showing who was named and which pages the engines cited.
All seven engines your buyers ask, on one score. Many tools start at one to three.
The AI answer engines Koalr monitors for your brand
How it works
Three steps, run on a schedule.
Not on the day somebody remembers to check. That is the whole difference between a spot check and a measurement.
- 01
Ask what your buyers ask
Real buyer prompts in the wording a customer would use, across all seven engines: 25 on Starter, up to 50 per site. Edit the set or add your own.
- 02
Record who gets named
Every answer is parsed for brand mentions, the order they appear in, the sentiment attached, and the pages the engine cited.
- 03
Work the gaps
Prompts where a competitor is named and you are not become a ranked action list, pointing at the source that decides the answer.
The questions behind the product
What teams ask before they start measuring.
How do you track brand mentions in ChatGPT?
You run a fixed set of buyer questions through ChatGPT on a schedule and record which brands each answer names, instead of asking once and reading the reply. One check is a snapshot: ChatGPT's answers shift between sessions, accounts and locations, so the same question asked twice can return two different shortlists.
That is the whole job of a brand tracker. Koalr sends your tracked set of real buyer prompts, 25 on Starter and up to 50 per site above it, to ChatGPT and six other engines, records who was named, in what order, with what sentiment, and which pages the engine cited, then repeats it so you can tell a trend from noise.
Why doesn't ChatGPT mention my company?
Almost always because the engine cannot find enough evidence connecting your brand to the category, not because it has judged you and found you wanting. It assembles an answer from the sources it can retrieve. If those sources discuss your competitors and not you, the answer follows the sources.
That is a fixable problem, but only once you can see which prompts you are missing from and what the engine read instead. Guessing at it is the expensive part.
How do you see what AI says about your brand?
You ask it, in the words a buyer would use, and you keep asking. A single manual check tells you very little, because answers shift between sessions, accounts and locations. What you need is the same prompt set run repeatedly, on a schedule, with the results recorded so you can see a trend rather than a snapshot.
Doing that by hand across seven engines is a spreadsheet job that decays the week you stop. The method is worth understanding either way, and it is written up in our guide to choosing the questions worth watching.
Which competitors get named instead of you?
Koalr records every brand named in every answer, so the competitor view is a by-product of the monitoring rather than a separate exercise. For any prompt you can see who was named, in what order, and how the answer described them against how it described you.
The useful pattern is rarely uniform. A rival will own one engine and be invisible on another, usually because a single source that one engine trusts happens to name them. Finding that source is normally the shortest route to closing the gap.
What do you do once you know?
Start with the sources, not the score. Because most citations sit on pages you do not control, the fastest changes are usually off your own site: being present in the round-up, directory or thread an engine already reads for your category.
On your own site, the work is making existing pages quotable: a direct answer under every heading, real schema, and facts an engine can lift without rewriting. Our analysis of which pages AI engines cite covers how to find the off-site ones.
What a scan gives you back
Four numbers per prompt, each scored 0 to 100 and tracked run to run, plus the raw answers and the sources behind them.
| Metric | What it answers |
|---|---|
| Prompt Visibility Rate | How often you appear at all, across every prompt and engine tracked. |
| Share of Voice | How much of the answer space you hold against everyone else named. |
| Sentiment | Whether what the engine says about you is positive, neutral or negative. |
| Citation Rate | How often the engine attributes an answer to a page on your site. |
Two ways to do this
Checking by hand, or monitoring properly.
Manual checks are a legitimate way to start, and worth doing once so you know what the tool is automating. They stop being useful at about the point you need a trend.
Checking by hand
- One prompt, one engine, one moment in time.
- Answers shift between sessions and accounts, so two people get two answers and neither is wrong.
- No history, so you cannot tell progress from noise.
- Decays the week somebody stops updating the spreadsheet.
Monitoring with Koalr
- From 25 to 50 buyer prompts per site, across seven engines, on a schedule.
- Every mention, competitor and cited source recorded per run.
- Scores tracked over time, so movement is visible.
- Gaps arrive as a ranked list of what to fix first.
What the scoring is built on
No borrowed logos and no invented quotes. These are product facts and numbers from our own citation dataset.
- AI engines, on every plan
- 7AI engines, on every plan
- tracked prompts per site, from 25 on Starter
- 50tracked prompts per site, from 25 on Starter
- citations behind the scoring
- 267,963citations behind the scoring
- of them on pages brands do not own
- 84%of them on pages brands do not own
The engines disagree structurally rather than randomly, which is why watching one platform tells you about one platform. Koalr covers ChatGPT, Claude, Gemini, Perplexity, Microsoft Copilot, Google AI Overviews and Google AI Mode, all seven on every plan.
What it costs
Start with the free scan.
A scan of your own site is free and needs no onboarding call. Paid plans start at £79 ($99, €89) a month for Starter, £199 ($255, €229) for Growth and £349 ($449, €399) for Business, each with a 7-day free trial and all seven engines included. Full detail is on the pricing page.
Questions teams ask about monitoring.
Still wondering? Run your free scan.
Yes. Koalr is a brand tracker for ChatGPT and six other AI engines. It runs your tracked prompts on a schedule — from 25 per site on Starter to 50 on Business — records whether ChatGPT names your brand, which competitors it names instead, how it describes you, and which pages it cited, then tracks all of it over time. ChatGPT does not publish this data, so the only way to measure it is to ask the engine repeatedly and record the answers.
Free AI visibility scan
Find out what AI says about you.
Scan your site free and get your AI Visibility Score, plus your first ranked fix list, in minutes. No card, no demo call.
Enter your website and see your AI Visibility Score in minutes
One scan, 25 real prompts, 7 AI engines, under five minutes, zero setup.
