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AI brand visibility: what three assistants say about your brand when nobody is watching

Brandscope is a free AI brand visibility check: it puts the same five buyer questions to ChatGPT, Claude and Gemini and lays their answers beside your own page — what they get right, what your page contradicts, and what nobody can check.

A free allowance per visitor, no account needed.

How to check your AI brand visibility

  1. Enter your brand or website

    A website is better than a bare name: with the site the answers are checked against your own page; with only a name they are reported unchecked. Add a category only when the name is a common word.

  2. Run the scan

    Brandscope asks ChatGPT, Claude and Gemini the same five buyer questions, reads your page, and lays the answers side by side. No account, no sign-up.

  3. Read the verdicts

    Open a question's tab, click a verdict to see your page's words beside the assistant's, and switch on differences to mark the words your page never uses.

  4. Fix the page, then read again

    Change the wording where your page is unclear or out of date. The five questions never change, so a second reading later is comparable with the first.

What to do next

Read the differences, check the quotes against your page, and change the page where it is unclear or out of date. Clear, consistent wording on your own page is the part of your AI brand visibility you can change. Then see what the same assistants claim about your reviews in Reviewscope.

Why this matters

Buyers ask assistants before they visit your site. The answer shapes what they believe about your brand — and can include details your page never states. AI brand visibility is whether that answer names you, and whether it gets you right.

Why a brand needs this measured at all

A buyer used to arrive at your site with a question. Now they arrive at an assistant, ask it what you are and how you compare, and reach you — if they reach you — already holding an answer somebody else wrote. That answer is assembled from whatever the model absorbed about you, which may be a press release from two years ago, a competitor's comparison page, or nothing at all.

None of it is visible from your side. Your analytics show the visit that followed, never the sentence that decided it. A brand can rank first for its own name and still be described to every buyer as something cheaper, smaller or older than it is, and nothing in the marketing stack reports that.

This makes the sentence visible. Five questions a buyer actually asks, three assistants, and the answers laid beside what your own page says — so the difference between the two is a thing you can read rather than a thing you suspect. That is what an AI brand visibility check should hand you: the words, not a score.

Who it is for

  • Marketing and brand teams — to see what assistants tell buyers about the company before a buyer repeats it on a sales call.
  • SEO and content teams — to find the wording on your own page that assistants miss or contradict, and fix it where it lives.
  • Founders of young companies — to learn whether assistants know the company at all. A zero is a starting point, not a failure.
  • Anyone before a launch, a rebrand or a pricing change — one reading before and one after, on the same five questions.

Each reading is one scan somebody asked for: a spot check of AI brand visibility on demand, not continuous AI brand monitoring.

How to read the result

Two numbers and three verdicts, and each one answers a different question about your AI brand visibility.

Knows you
How many of the fifteen answers named the brand as something the assistant knows. An answer that repeats your name while saying it has never heard of you does not count — that distinction is the whole reading, and getting it wrong is the easiest way to publish a comforting number.
Positioning match
How much of your own homepage language the assistant's description shares. Low is not automatically bad: a short, specific description can share few words with a long one. It is a prompt to read the two sentences side by side, not a grade.
The verdicts
Matches means your page says the same thing. Contradicted means your page says otherwise, and only a pricing claim can earn it — numbers are the one claim a machine can check. Unverified means we could not check it, which is not the same as false and is never presented as one.

What this is not

  • Not our opinion of the brand. Every line is a model's output, dated, beside the question that produced it.
  • Not a ranking, and not an AI brand visibility score. The assistants are not ordered best to worst; they are three readers who disagree.
  • Not a claim about anything your page does not state. What we cannot check, we call unchecked.
  • Asked in English. What an assistant knows about a company is mostly in English, and asking in another language measures the translation as well as the brand.

Questions people ask

Is the AI brand visibility check free?
Yes. Every visitor gets a few free scans in a rolling time window, with no account; the line under the field says how many are left. A brand somebody already scanned this week is answered from that stored reading and uses none of them, and neither does the example.
Which models are asked?
One model from each of three vendors — OpenAI, Anthropic and Google — kept the same between runs so two readings a month apart are comparable. The version is not shown, because which model we run is our operating decision and a version number on a public page is out of date a month later.
Why five questions and not fifty?
Because the same five every time is what makes a second reading mean something. A generated set would make every run a different measurement wearing the same name, and the difference between March and April would be the questions rather than the brand.
Is a score of zero a failure of the tool?
No, it is the reading, and usually the most useful one. Three assistants were asked and none could say what the company is. That is a fact about how the brand is represented, and it is actionable in a way a high score is not.
Why is a wrong answer not called a hallucination?
Because we can only check what your own page states. A pricing claim your site contradicts is marked contradicted and says so. A complaint nobody can verify is unverified. Calling an unchecked claim false would be making a claim about your business that we cannot support.
Do you store the result?
The reading is kept so the same brand asked about again this week is answered from it rather than paid for again, and so a trend exists later. It holds a hashed IP and a public company name, never a person.

Asked out loud

spoken, not typed

The same worry about AI brand visibility, in the words people use speaking to an assistant rather than typing into a box. Each one carries the situation it came from, because the situation is what makes it a different question.

Hey, what does ChatGPT actually say about my company?

Ask it yourself and you get one answer, from one assistant, on one phrasing. This runs five fixed questions past three of them and lays the answers beside what your own page says — so the difference between the two is something you can read rather than something you suspect.

before a board meeting
Is the AI making up our pricing?

Sometimes, and this is the one thing that can be checked mechanically: your page states numbers, the assistant states numbers, and if the two sets do not overlap the answer says contradicted and shows what your page says. Where your site is silent, it says unverified instead of guessing.

after a customer quoted the wrong figure
Why does it describe us as smaller than we are?

Usually because the material it absorbed is older or thinner than your current positioning — an old release, a comparison page written by a competitor. The positioning column shows how much of your own homepage language the assistant shares, and the two sentences sit side by side so you can see which words it is missing.

when the description feels wrong
Nobody has heard of us. Is that even worth measuring?

That is the most useful reading this produces. Three assistants asked and none could say what the company is means the work is getting known at all, not correcting a detail — and it is a starting number you can measure against later.

early-stage brand

The words on this page

AI visibility
Whether an assistant names a brand when asked a question the brand should own. Asked of one brand by name, it is AI brand visibility — what this page measures.
Hallucination
A confident statement a model produces with nothing behind it. Checkable only where a source exists to check it against.
GEO
Generative engine optimisation: the work of being described correctly by the systems that answer instead of listing.

On this topic

What do models believe about our brand?

Term
EntityKnowledge GraphHallucination in AI SearchCitationE-E-A-T
Read
Brands in AI answers, October 2026: being cited is not being chosen
Check
Reviewscope

Every day Competitor comparison, answer by answer. How the product works

Other free AI search tools

  1. 1. Answers appear one by one
    Each assistant's card arrives in turn.
  2. 2. Click a verdict to open the evidence
    Your page's words beside the assistant's.
  3. 3. Differences light up together
    Words your page does not use are marked in every answer at once.