How to Structure Content for AI Retrieval: The Retrieval Stack
A practical AEO/GEO guide to structuring content for AI retrieval, with a five-layer Retrieval Stack for making pages easier to retrieve, assemble, and cite.
I’m a hands-on digital marketing operator. I share practical notes on lead generation, SEO/AEO, paid, automation, and AI workflows, plus the tools and experiments I keep refining in real work.
I’ve worked in digital marketing across different industries, where strategy and execution have to meet in the same week, not in different slide decks.
I work across paid acquisition, SEO, outbound, CRO, automation, and AI-assisted workflows. Most of my work sits at the messy intersection of systems, experiments, and day-to-day execution.
Today, I head up Lead Generation at Umbraco, an open-source CMS and SaaS company, where I work across inbound and outbound in a cross-functional Growth setup.
This site is my working notebook: what I’m testing, what I’m learning, and what actually holds up when execution pressure is real.
Start with Profile for career context, Writing for ideas and breakdowns, or Tools for practical utilities.
A practical AEO/GEO guide to structuring content for AI retrieval, with a five-layer Retrieval Stack for making pages easier to retrieve, assemble, and cite.
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