The Retrieval Stack (v1): Structuring Content for AI Systems
A practical framework for understanding how AEO/GEO and AI retrieval actually work: from SEO foundations to fragment retrieval, synthesis, and structural content design.
I build B2B lead generation systems across inbound, outbound, paid media, and AI workflows, with one goal: more qualified pipeline.
For 10+ years, I’ve worked in B2B marketing where strategy and execution have to meet in the same week, not different slide decks.
My work spans paid acquisition, SEO, outbound, CRO, automation, and AI-assisted workflows. The through-line is simple: turn activity into qualified pipeline and clearer decisions.
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.
I’m especially interested in how automation and AI change day-to-day demand generation work in practice. This site is where I share what I’m building, testing, and learning.
A practical framework for understanding how AEO/GEO and AI retrieval actually work: from SEO foundations to fragment retrieval, synthesis, and structural content design.
A practical retrievability audit model for SEO, AEO, and GEO teams: how to review structural clarity, fragment integrity, assembly readiness, and attribution signals.
Learn how to send Umbraco content to Airtable with webhooks and Zapier, keep it synced, and build an AI-ready content library you can search, query, and improve.
UTM tracking sounds simple, but inconsistent source/medium/campaign naming quietly breaks attribution. A practical guide to cleaner campaign tracking.