What is Growth Engineering?

Engineering the context, direction, distinctiveness, experiments and evaluation above AI marketing execution, so a brand's output is distinct and aimed at a growth goal.

When every team executes with the same AI models, execution stops separating one brand from another. Growth Engineering is the work above execution: deciding what the system knows about the business, what it is aimed at, what makes the output yours, what gets tested before money is spent, and what gets checked before anything ships.

It runs as six steps, the Growth Engineering Loop: Context, Direction, Distinctiveness, Experiments, Execution and Evaluation. Each is graded on its own, all six answer to one growth target, and the results go back into Context for the next run.