AI-native marketing operator
EITAN
GORODETSKY
I run an AI-native marketing operation — and I write about what it actually takes to build one.
15 years inside iGaming, tech and digital — €100M+ budgets, 20+ markets, teams of 120. Now building in the open.
Annual Budgets
Largest Team
Regulated Markets
Organic Growth
What I Do
Three things I do well.
Build
Build
AI-native systems that run the business: persistent memory, live integration, codified workflows, and gated autonomy.
Operate
Operate
A multi-pillar operation — agency work, owned ventures, products — run largely solo, on the AI layer.
Find
Find
The hidden costs and quiet inefficiencies the dashboards miss. Still the through-line.
Latest Writing
Essays on running an AI-native operation.
Most AI content tools are production lines, not intelligence systems
Frameworks & teardowns · The three-layer AI search model
AI SEO strategy in 2026 is not what most people think it is
Most marketers are optimising for AI search the same way they optimised for Google in 2005 — chasing rankings, stuffing keywords, measuring positions. But AI search doesn't rank pages. It selects sources to cite. That's a different game entirely.
Frameworks & teardowns · The citability stack
Answer Engine Optimisation Is a Strategy, Not a Tactic
Most AEO guides hand you a checklist: add FAQ schema, write in plain language, use question-format H2s. That's not wrong — it's just not the point. Getting cited by AI is an authority problem dressed up as a formatting problem.
Experience across
I'm building an AI-native operation in the open — and writing about what it takes. New essays, roughly monthly.
Read the writing →