Dragen / What we do / AI visibility
Your customer stopped searching. They asked a model.
"Who does X in Poland?" increasingly goes to an assistant rather than a search engine, and comes back as one sentence naming three companies. If yours is not among them there is no click to count either - because nobody ever saw a list of results.
Why this is a different discipline
In a search engine you compete for a position in a list and win by holding attention. In a model's answer there is no list. There is one sentence and a few names. There is also no click to tell you that you were left out - the loss is invisible from your analytics.
Models quote what is unambiguous, specific and attributable: a page that answers one question, gives checkable detail, and does not hide its content behind a script.
What we do
Measurement
A set of questions a buyer actually asks, put to several models, repeatedly. The result is not one number but a picture: where you appear, in what context, beside whom, and what the model says about you when it has no good source.
Content that can be quoted
A page about one subject rather than about everything. Answers to specific questions, specific numbers and dates, structured data in the markup. It is the same work as technical documentation, except the reader is a model.
Technical reachability
Content in HTML rather than assembled by script after load. Stable URLs, a sensible heading structure, an llms.txt. Dull, cheap things whose absence can exclude an entire site.
Honestly, the limits
Nobody controls what a model says, including us. What can be influenced is whether a good source exists and how readable it is. The rest is patience and repeated measurement.
Questions
What people ask first.
How is this different from SEO?
Can it be measured?
How long does it take?
Tell us which process eats your day.
We answer within one working day - including when the answer is that software is the wrong tool for it.