Terms and connections worth understanding once – before the first decision comes up.
What the common stage terms mean, why they do harm without a definition of your own, and how to settle a shared list in an hour that both sides can sign.
The distinction between provider and deployer, which marketing applications fall into which risk class, and the four real obligations.
What belongs in an AI policy, what expressly does not, and why one page achieves more than a twenty-page rulebook — with a complete outline to adopt.
Why most positioning statements never get repeated, which three parts a workable sentence has, and how to develop it over four rounds.
Why industry and size do not make an audience, which five characteristics actually separate, and how to get there in one afternoon.
How to read the intent behind a query off the results page, which four intents exist, and why the wrong intent never reaches the top.
Why language models produce plausible-sounding false details, which five kinds of detail are most affected, and which measures actually help day to day.
Who the obligation applies to, what the requirements actually demand, and which ten measures cover most of it.
The differences between the revised Swiss Act and the GDPR, and the six points a Swiss business website has to have settled.
What each number answers, how often to collect it and when it misleads — plus the three metrics small companies can drop with a clear conscience.
Search engine and answer engine optimisation side by side — the overlaps, the real differences, and one concrete list of measures for each.
Licence, setup, upkeep and the items that appear in no quote — with a worked calculation for three company sizes and the question of when it starts to pay.
A complete five-step process using free sources, a sound way to judge keywords without volume data, and a clear line for when paid tools start to pay off.
A concrete plan for founders and small firms: what to do in weeks 1 to 12, what is deliberately left out, and how to tell it is working.
Google's actual position on automatically produced content, why detection tools do not work — and the five properties that bad text really fails on.
The order of adoption decides whether the rest works: which building block comes first, and which four to leave out at the start.
