An ad placement inside the answer
In a list of results, ten entries compete for the same glance. In an AI conversation the user gets one coherent answer, and the ad sits inside or beside it. That changes what works: the message has to be a reasonable next step for someone whose question was just answered, not a standalone headline fighting for attention.
Measurement is the hard part
A conversation leaves fewer traces than a search. The journey can start with a question, continue as a brand search a few days later and end in direct traffic. So we set up UTM structure, server-side tracking and reporting that accounts for assisted effect and brand searches, rather than judging the channel on the last click.
Ads and AI visibility belong together
A company the assistant can already describe correctly has far more to gain from an ad. So we work on both halves: content structured so your products, prices and terms can be repeated accurately, and an ad that meets someone who has already seen you in the answer. That work pays off regardless of how the ad formats develop.
We test in a structured way rather than guess
The channel is too young for confident truths. We start with hypotheses about question areas, messaging and landing pages, set a measurement plan before the first krona is spent, and evaluate in rounds. What works gets scaled, what does not gets stopped — and we say so when the conclusion is that the money does more good in another channel.