Your competitors execute with the same AI. The difference is the layer above it.

Ivanooo practises and teaches 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.

Execution stopped separating brands

Execution is free. Growth isn't. Sameness is the price of free execution. AI made marketing execution, the making and shipping of pages, posts and ads, close to free.

Your competitors write, design and publish with the same models you do. Output got cheap for every brand at once, so more of it moves nothing. That is why execution is not where one brand beats another. What still separates one brand from another is everything the models do not supply: what the system knows about you, what it is aimed at, what makes the work yours, what gets tested, and what gets checked before it ships. A producing system makes more every month and knows nothing new; a compounding system carries what worked into what it does next.

The six steps of the Growth Engineering Loop

In the order they run. Each step is graded on its own, and each opens into its own page.

  1. Context: One living record of the business that every agent reads before it writes, decides or spends: the goal and the number, buyers' questions, provable claims with proof, competitors, every decision and what happened. Powered by: The Growth Graph.
  2. Direction: A person's direction on the machine's work, macro and micro: the position it works from, and the moves they make on what it produces, piece by piece, towards the growth goal. Powered by: The position, read back before it counts, and the person's marks on the work.
  3. Distinctiveness: You don't sound like everyone else: what is yours, measured against the machine's average and your category's, and placed where AI reads. Powered by: The distinctiveness measures.
  4. Experiments: Choose the few moves worth making, prove them, keep what wins. Powered by: Candidates, simulation that may only remove, market tests with a stop condition.
  5. Execution: The work done across every channel, on whichever models are best; deliberately the least special part; measured by the level. Powered by: Agents.
  6. Evaluation: Every other step says what should be true. Evaluation proves whether it was. Powered by: Checks that can fail, verdicts on a set date.

Run apart, they are six tools. Run in order, they are one loop.

Context holds what is true about the business. Direction makes the calls that matter. Distinctiveness keeps the work yours. Experiments choose the few moves worth making. Execution does the work. Evaluation stops wrong or average work before it ships, and reads what moved after.

The results go back into Context for the next run. That is why the order matters: each step reads what the step before it wrote down. Start with Context.

The map and the five levels

Two readings, taken separately and read together. The map reads whether your marketing finds what moves your buyers, and whether its moves are your own. The five levels ask how much of your marketing runs without a person stepping in, safely. The map is not a ranking of who publishes most, because execution is free. See the map and the five levels.

The guides

The practice applied to each marketing topic, with the comparisons for each. Each article sits in one guide. All guides.

  • SEO & AI search: How buyers find you when an answer engine writes the shortlist: search, AI answers, and what gets a page chosen. 25 articles.
  • Content: Writing that sounds like you when everyone writes with the same models. 10 articles.
  • Distinctiveness: Why brands converge on the machine default, and how to stay tell-apart-able. 17 articles.
  • Analytics: Measuring whether AI answers name you, and proving what moved. 12 articles.
  • PR & placement: Most of an AI answer is sourced off your site. Getting onto those sources. 6 articles.

Every marketer is now a growth engineer

AI made the production side of marketing cheap. What is scarce now is the person who can direct the machine, keep the work tell-apart-able, and prove it worked. That is not a new job title. It is the job. Read the full argument, score your stack, or join the Growth Engineering programme.

Instruments

The Agentic Compounding Index: does a platform compound, or does it just produce? The method and the dates behind each instrument are on Research.