When buyers ask AI, are you
visible?

Software buyers now ask ChatGPT for a shortlist before they ever open Google.

We measure whether the answer names your product, then go and change it. With numbers you can check.

Get your free AI visibility scan
Stuttgart, Germany, where TopStuttgart is based
Frozen question sets
Every question asked many times
Before and after, same instrument
Why this matters

Doesanyofthisactuallymatter?

The shortlist moved

Buyers used to compare ten results and pick. Now they ask an assistant for a shortlist and compare two or three. Everything outside that answer is not in the running.

You cannot see it happening

Rank trackers do not read AI answers, and the same question asked twice returns different products. Without repeated, structured measurement there is nothing to look at.

It is winner-take-most

An answer names a handful of products, not a page of them. Being fourth in an AI answer is the same as being absent from it.

Free check

Does AI name your product?

Buyers ask ChatGPT which software to use before they ask you. Enter your domain and see which products come back.

The free scan

Everyquestion.Everyrun.

We ask your category's real buying questions many times over and put every single answer on one screen. No score out of a hundred, no dashboard gauge. You find the gap yourself.

Were you named?
named not named
“best project management software for agencies”
“which tool should I use to track client work”
“alternatives to Asana for small teams”
“project management tool with time tracking”
“best software for managing client projects”

Layout example, not a measurement. Your report carries your own category's questions and the answers actually returned, plus who was named instead of you and how often.

How it works

Measure,work,measureagain

01

We agree the questions

Together we write the exact wording of the questions your buyers actually type. That list is then frozen, because a set that moves during the engagement cannot show you whether anything changed.

02

We take a baseline

Every question, many times over, across ChatGPT, Perplexity, Gemini and Claude. You get the reading with its interval before any work starts, so there is a real before-picture rather than a remembered one.

03

We do the work

We change what the engines actually read: the sources they cite, the pages they retrieve, the facts they can verify about you. Not a checklist score.

04

We measure again

Same questions, same engines, same number of runs, same time of week. You see the movement and how much of it could still be noise.

What you get

Betheanswer.Everywhere.

Your buyers ask an assistant before they ask a search box. Both of these make sure the answer has your name in it, and prove whether it worked.

Core

AI Visibility

One/ category

One product, one category, one language.

Get named when buyers ask an AI which product to use

A frozen set of the real questions your buyers ask
Repeated runs across ChatGPT, Perplexity, Gemini and Claude
A baseline reading with its confidence interval, before any work starts
The source and content work the engines actually read
Re-measurement on the same questions, same engines, same time slot
Cancel any month
4 AI engines measured
Baseline before any work
Book a call
At scale

Full Coverage

All/ your markets

Multi-product or multi-market companies.

Several markets, categories or languages at once

Everything in AI Visibility, across your whole category question set
Multiple markets, regions or languages measured separately
Source and content production rather than recommendations
Weekly measurement instead of monthly
Cancel any month
Multi-market & language
No hidden costs
Book a call

Scope decides the fee, so we quote it on the call rather than on this page. Monthly, and you can stop at the end of any month. Every engagement starts with a paid baseline, because without a before-picture nothing afterwards is checkable.

The method

Measured,notclaimed.

The question set is frozen before we start

We agree the exact wording of every buying question up front and never change it. A set that moves during the engagement cannot show you whether anything improved.

Every question is asked many times

AI answers are non-deterministic. Ask once and you have an anecdote. We repeat each question across runs and report the spread, not a single lucky answer.

Numbers come with an interval

A visibility figure without a range is a guess with a decimal point. Ours says how much of the movement could be noise, so you can tell a real change from a good day.

Before and after use the same instrument

Same questions, same engines, same number of runs, same time slot. If the measurement changes, the comparison is worthless, so it does not change.

We are a small firm in Stuttgart, Germany, working remotely with companies abroad. The measurement is the product, so we would rather show you how it works than ask you to trust a dashboard.

FAQs

Questionspeopleactuallyask

When somebody asks ChatGPT, Perplexity, Gemini or Claude which product to use for a job, the assistant answers with a handful of named products. AI visibility is whether yours is one of them, and how often. It is not the same thing as ranking on Google: the pages an answer engine retrieves and cites for a question are frequently not the pages that rank first for it.
SEO optimises for a ranked list of links that a person then chooses from. Answer engines skip the list and hand over a recommendation. That changes what the work is: instead of one page competing for one keyword, you are trying to be a fact the model can verify from several independent sources it already trusts. There is overlap in the plumbing, but the target is different.
Nobody can promise that, and we will not pretend otherwise. AI answers are non-deterministic, so the same question asked twice can name different products, and no agency controls what a model says. What we commit to is the measurement: an agreed question set, a real baseline before any work starts, and the same instrument used again afterwards so you can see what moved and what did not.
We agree the exact wording of the questions your buyers ask, then freeze that list. Each question is asked many times across several engines, because a single answer is an anecdote. We record how often your product is named, how often it is cited as a source, and which competitors take the slots instead. Every figure is reported with an interval, so you can tell a real change from a good day.
It depends on how many markets, languages and categories you want measured, so we quote it on the call instead of putting a number on this page. It is a monthly engagement with a one-off setup that covers the baseline measurement. You can stop at the end of any month.
Expect to be looking at a real second reading somewhere around the eight to twelve week mark, and treat anything sooner than that as noise. The engines re-crawl and re-rank their sources on their own schedule, and the run-to-run spread in AI answers is wide enough that a short window cannot separate a change from randomness.
Not a published one yet, and we would rather say that than dress up an anecdote. This is a young category and most of the numbers being marketed in it come from a single run of a single prompt, which is not evidence. What we can show you on the call is the method, a live scan of your own category, and exactly how the before and after are compared.
An hour to agree the question set, access to publish or suggest changes on your own site, and somebody who can confirm facts about the product. After that it runs on our side and you get the readings.
A small firm in Stuttgart, Germany, founded by Mikail Toprak, working remotely with companies abroad. Small enough that the person who runs your measurement is the person you talk to.
Monthly, cancellable at the end of any month, with no minimum term. We suggest giving it at least three months because a result cannot be measured reliably before then, but that is a recommendation about measurement and not a commitment you sign.

Find out where you stand

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