The Retrieval Stack (v1): Structuring Content for AI Systems
A practical answer engine optimization guide: what AEO is, how it works, SEO vs AEO, and how retrieval structure affects AI answer visibility.
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 answer engine optimization guide: what AEO is, how it works, SEO vs AEO, and how retrieval structure affects AI answer visibility.
A practical view from Conversion Boost Copenhagen on AI for conversion rate optimization: reduce hallucinations with structured data, agent workflows, and safeguards.
How I use simple skill-based workflows in Umbraco: one orchestrator, clear stages, QA checks, and practical examples for SEO, content, ads, and testing.
A practical answer engine optimization guide for SEO/AEO/GEO teams: what AEO is, how it works, and how to audit retrievability with a repeatable framework.