Category
Playbooks
Step-by-step builds you can run in your own org. Buildable workflows with the constraints and failure conditions named.
How to build a marketing agent for production: put the controls in the code that performs the write
Our view: a marketing agent is ready for production only when the controls it depends on are enforced by ordinary code at the point where the write happens, checked at the moment of the write, on every path that can change what a customer sees. When the controls live in the prompt, in a policy document, or in a reviewer's memory, that is where they fail.
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Our September 17 baseline: Google cited us on 0 of 20 questions
Google AI Overviews cited marketingagent.com on zero of twenty questions in our September 17, 2026 study. This is a snapshot of that context and question set, not an estimate of what every buyer sees.
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How to use AI in marketing: start with the jobs where a mistake is cheap to catch
Our view: the first jobs to give a marketing agent are the ones where a wrong answer stays inside your team and a person can catch it faster than they could have done the work. That rules out most of the jobs current AI budgets favor.
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Visitor identification sells you the name. The reason for the visit is not for sale.
Identity resolution reads a silence the buyer chose. Our read: it can tell you which account was in the room, and the reason for the visit still has to come from the visitor, which is why the working instrument is a question the visitor answers.
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How to measure GEO: an answer-share tracker you can rerun
AI visibility scores are arriving faster than the methods behind them. We argue for a tracker you can rerun, and we run it on ourselves first: a fixed question set, a fixed logged-out protocol, an answer-share score anyone can audit. The pilot run already caught something.
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Answer engine optimization is mostly answer hygiene
The pitch says AI search demands a new priesthood. The one controlled study and Google's own documentation say most of the work is editorial hygiene: direct answers, cited sources, real numbers, extractable sentences. Here is the checklist, the cadence to measure it, and the two parts that are genuinely new.
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- How to build a marketing agent that survives production
- Answer engine optimization is mostly answer hygiene
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