How to Track When AI Answers Mention Your Brand

Somebody asks ChatGPT which company to use for the thing you sell. You will never see that question, you will never see the answer, and if your brand was left out you will never know. That blind spot is what the AI visibility tool category exists to fill.

Before buying anything, it is worth being precise about what you are trying to detect, because "mentioned" turns out to mean three different things with three different fixes.

Mentioned, cited and recommended are not the same

These get used interchangeably in vendor marketing and they should not be.

Mentioned means your brand name appears in the answer text. It might appear as an also-ran in a list of nine, or as an aside. It proves the model has you somewhere in its representation of the category.

Cited means the engine linked a page as a source. Perplexity and Google AI Mode do this visibly, ChatGPT does it when it searches. A citation is the most actionable of the three, because a citation is a specific page you can identify and often influence.

Recommended means the answer put you forward as the choice, unprompted, when the question did not name you. This is the one that correlates with revenue and the one that is hardest to move.

The distinction matters commercially. A tool that reports a single visibility percentage is usually blending all three. You can watch that number rise because you got mentioned more often in list-style answers while your recommendation rate went nowhere, which feels like progress and is not.

Ask two kinds of question, always

There are two questions worth tracking and most teams only track the first.

The branded question is "what is BrandReel" or "is BrandReel any good". It tests whether the model knows you exist and what it believes about you. Getting this wrong is a reputation problem, and it is surprisingly common for models to confidently attach the wrong description, the wrong pricing, or a competitor's feature to a brand.

The unbranded question is "best tool for producing brand video without a crew". It tests whether you get recommended when the buyer has not heard of you. This is where the market share actually is, and it is the harder number.

Track both. Branded questions tell you whether your story is intact. Unbranded questions tell you whether you are in the running at all.

What the tools measure, and where they differ

Every tool in this category does the same core loop. It asks your questions to AI engines on a schedule, reads the answers, and records what it found. They differ on four things worth comparing directly.

Engine coverage. ChatGPT, Perplexity, and Google's AI Overviews and AI Mode carry most of the volume. Copilot, Gemini, Claude and Grok are real but secondary for most businesses. Watch for tools that advertise a big engine count and then sell half of them as add-ons.

Frequency. Daily checking costs more because every check is a paid model call. Match it to how often you actually publish. Daily tracking against a monthly publishing cadence mostly measures the model's own run-to-run variance.

Whether you can read the raw answers. This is the one people skip and regret. If a tool gives you a score without the verbatim text, you cannot tell a real change from noise, and you cannot see the sentence where a model says something wrong about you.

Prompt volume. Prompts are the pricing unit across the whole category. Compare on cost per prompt per month, not on plan names.

The realistic options

Otterly.AI is the cheapest credible entry, publishing $29 a month for 15 prompts across four engines, rising to $189 for 100 prompts. Google AI Mode, Gemini and Claude are add-ons on top, so price your actual engine list before comparing headline numbers.

Peec AI targets mid-market teams and agencies across six engines. It does not publish pricing, so treat numbers quoted in comparison posts as secondhand.

Profound is the enterprise choice on custom pricing, and the real differentiator is depth of source analysis across a large prompt set. If you have a budget line for this it is the serious option, and if you are checking whether the model knows you exist it is far more machinery than the question needs.

VerifiedDR covers three platforms, ChatGPT, Perplexity and Google AI Mode, and shows every answer verbatim along with which brands were named and in what tone. There is one free scan of up to four questions per account, then $39 a month carries 25 questions per scan, $99 carries 75, and $199 carries 200.

Two limitations worth stating plainly. Three engines is fewer than the pure-play trackers offer, so Copilot or Claude coverage rules it out. And the full refresh is weekly rather than daily. What it adds instead is that AI mentions sit next to Domain Rating, backlinks and keyword positions on one profile, which matters because the pages engines cite about you are usually pages that already rank.

Do the free version first

Before any of this, spend twenty minutes doing it by hand.

Write your ten real buyer questions, half branded and half not. Ask them in ChatGPT and Perplexity in a logged-out or temporary session, so your own history does not flatter the result. Paste the answers into a document with the date.

That gives you a baseline and usually the purchasing decision too. If you are named in most answers, you need monitoring, and the cheapest credible tracker wins. If you are absent everywhere, measurement is not your problem yet. Coverage is, and the useful tool is the one that also shows which sources the engines are citing instead of you.

What to do when you find you are missing

The mechanism behind AI recommendations is less exotic than the category's marketing suggests. Engines lean on sources they already trust, which in practice means pages that rank, publications with real authority, and places where a category is discussed in list form.

So the fix is mostly the unglamorous one. Get covered where the engines already look, make sure your own pages state plainly what you do and who it is for, and get the factual claims about your product somewhere a model can read them. Structured, specific, checkable copy travels into generated answers better than atmospheric brand writing does.

Frequently asked questions

Why do I get different answers every time I ask?

Because generation is sampled rather than deterministic, and because engines personalize on history and location. This is exactly why a single manual check is a weak signal and why tools sample repeatedly. Treat any single answer as one draw from a distribution.

Does being cited bring traffic?

Often less than you would expect. The answer frequently satisfies the question without a click, which is the structural shift worth planning for. Citation is closer to brand placement than to a search result, and it should be valued that way rather than judged purely on referral sessions.

Can I pay to appear in AI answers?

Not in the organic answer itself, though several platforms have been rolling out separate ad formats. Anyone selling guaranteed inclusion in the generated answer is selling something they cannot control.

How often should I check?

Monthly is enough for most brands, weekly if you publish weekly or operate in a fast-moving category. Daily is worth it mainly when you are actively running a campaign and want to see it land.

Where BrandReel fits

BrandReel is a video and image generation product, not a visibility tracker, so this is not a pitch for it. The connection is that the same shift changes what brand content is for.

When an engine summarizes your category, it draws on how your product is described in text across the web, and it hands the buyer a short list rather than ten links. That raises the value of being described precisely and lowers the value of volume for its own sake. If you produce brand content, it is worth knowing whether the machine that now sits between you and your buyer has any idea who you are.

Create a BrandReel account if you need the content side of that. For the measurement side, start with the manual twenty minutes above.