Better marketing decisions
start with better evidence.
Avantrix is a founder-led AI Market Intelligence business. We investigate how AI systems present, compare and recommend companies in defined buyer situations.
Make the recommendation layer inspectable.
Traditional analytics explain the channels a business can observe. They rarely show what an AI assistant said while a buyer was exploring options, checking facts or building a shortlist.
Avantrix studies those answers under defined conditions. The starting point is a business question, not a score. We design the buyer scenarios, examine recommendations and competing claims, inspect important evidence and translate the findings into a decision-ready brief.
Technology can help organize the work. Study design, factual review, interpretation and commercial judgment still require human attention. That is why we make the evidence and its limits part of the deliverable.
The strongest result is the one that helps you make a better decision. Sometimes that means correcting a gap. Sometimes it means knowing there is no good reason to spend more.
Founder, Avantrix
Curiosity in the question.
Discipline in the answer.
We aim to make the research useful to the decision-maker and inspectable by the people who need to act on it.
Bound the investigation.
Be clear about the question, buyer conditions and what was actually tested.
Separate evidence from explanation.
Show observations first. Make assumptions, uncertainty and limits visible.
Recommend only what is supported.
A specific next move is more useful than a dramatic score or a generic list of fixes.
What is your team
trying to figure out?
Tell us the campaign, product, service or market decision you’re facing. We’ll help define whether AI recommendation research can provide useful evidence.