Method

10 You use your own LLM model 9 Agentic systems with governed decisions 8 Your colleagues use our system well 7 We operate our system for you 6 We load your company into AOS Cloud 5 You know which of your decisions worked 4 You know where your company and its data disagree 3 You know which way you may go, and why 2 You see what the market does, not what it says 1 You know how far each number can be trusted with LLMs with you

Spend twenty-five years inside one company and you learn that company very well. We spent them across hundreds of them, which means we can usually tell you which of your problems is yours alone and which one almost everybody has. The second kind is the one with a known answer.

What we actually study

Not campaigns. The ten levels above are the method: how deep the work goes, and in what order it has to go there. What we study is the structure of marketing and sales decisions — who decides, on what basis, what they had in front of them, and whether it held. From practice and not from books, across hundreds of clients and thousands of separate jobs.

Few teams in Hungary have been doing search optimisation and search advertising this long.

What twenty-five years buys, and what it does not

It buys the pattern: which of your problems is yours alone, and which one almost everybody has — and the second kind usually has a known answer. It does not buy an answer about your account before we have looked at it. What makes a campaign, a page or a setting good is settled inside the account, not before it.

So we do not sell being right in the first meeting. Sell that, and you get a different problem: people stop telling you what is wrong and start asking you to confirm what they already suspect. We would rather you told us.

What is here

  • AI readiness — the ten levels in full, and where you actually are on them.
  • How we work — what a finding is, what it is not, and what we refuse to say.
  • Use cases — the system stopping, refusing, and naming its own limits. In English only.