# Eitan Gorodetsky

> AI-native marketing operator. Builds and runs a multi-pillar marketing operation — agency work, owned ventures, and products — largely solo, on the AI layer, and writes about what it actually takes. 15+ years across iGaming, tech, and digital (€100M+ budgets, 20+ regulated markets, teams to 120).

## Core pages
- [Home](https://eitangorodetsky.com/): What an AI-native marketing operation is, and how Eitan runs one.
- [About](https://eitangorodetsky.com/about): Background — Israel → Malta → Australia; 15 years across iGaming, tech, and digital; now building in the open.
- [Services / Work With Me](https://eitangorodetsky.com/work-with-me): independent operator working for himself; takes on a small number of margin audits, advisory engagements, and speaking.
- [Career](https://eitangorodetsky.com/career): Full professional history (888 Holdings, Catena Media, Betsson Group, Speed Media Group, TonyBet).
- [Contact](https://eitangorodetsky.com/contact): Get in touch.

## Writing (essays)
- [Writing index](https://eitangorodetsky.com/writing): Essays on building and operating an AI-native marketing business.
- [What an AI-native marketing operation actually looks like](https://eitangorodetsky.com/writing/ai-native-marketing-operation): The difference between *using* AI and *running on* it; the four architectural layers (memory, integration, codified workflows, gated autonomy) and the AI-native maturity ladder.
- [Where Gen-AI actually moves marketing ROI — and where it's theatre](https://eitangorodetsky.com/writing/where-ai-moves-roi): The compounding test for separating AI leverage from AI theatre.
- [AI governance that speeds you up — govern the blast radius, not the intelligence](https://eitangorodetsky.com/writing/ai-governance-blast-radius): Governance as an accelerator; control what AI can touch, not what it can think.
- [What AI actually cites — a 3,050-answer audit](https://eitangorodetsky.com/writing/what-ai-actually-cites): Original analysis of 3,050 AI answers — two thirds cite a source, the engines (ChatGPT, Claude, Google AI Overviews) disagree on which, and citable surfaces invert by category.
- [AI SEO strategy in 2026 is not what most people think it is](https://eitangorodetsky.com/writing/ai-seo-strategy-2026): The fundamental shift from ranking systems to citation systems — what AI search actually selects for, and what to do about it.
- [Answer engine optimisation is a strategy, not a tactic](https://eitangorodetsky.com/writing/answer-engine-optimisation-explained): AEO/GEO is an authority problem, not a formatting problem — the three elements of citability and the GEO stack that actually works.
- [llms.txt is not robots.txt for AI — it's something more interesting](https://eitangorodetsky.com/writing/llms-txt-what-it-is-and-why-it-matters): What llms.txt actually does (intent signal, not a restriction), how to write one, and where it fits in the broader GEO stack.
- [Architecture over headcount](https://eitangorodetsky.com/writing/architecture-over-headcount): Why the AI-native operator builds systems, not teams — and what that looks like in practice.
- [Five engines, one question — they don't agree](https://eitangorodetsky.com/writing/five-engines-dont-agree): Testing the same prompt across ChatGPT, Claude, Gemini, Perplexity, and Grok — what the divergence reveals about AI citation strategy.
- [Open build memory](https://eitangorodetsky.com/writing/open-build-memory): Building in the open as a compounding asset — why publishing your methods creates more value than protecting them.
- [Most AI content tools are production lines, not intelligence systems](https://eitangorodetsky.com/writing/ai-content-systems-vs-production-lines): The architectural difference between AI-as-faster-typist and a real intelligence system: isolated Generate, Grade, Improve, Verify, and Deploy agents with model routing economics.

## Thinking
- [Thinking](https://eitangorodetsky.com/thinking): Frameworks and methodology.
- [Operations Intelligence Architecture](https://eitangorodetsky.com/thinking/oia)
- [SCU](https://eitangorodetsky.com/thinking/scu)
- [Building with AI](https://eitangorodetsky.com/thinking/ai): An operator's view of building with AI.

## Inner World
- [Inner World](https://eitangorodetsky.com/inner-world): The practices behind the operator — freediving, Kabbalah, bodywork, sound.

## Frameworks
- [The AI-native maturity ladder](https://eitangorodetsky.com/writing/ai-native-marketing-operation): Tools → Assistants → Colleagues → Operating system.
- [The compounding test](https://eitangorodetsky.com/writing/where-ai-moves-roi): Does it touch the real system, remember across time, and run repeatedly + improve?
- [Govern the blast radius, not the intelligence](https://eitangorodetsky.com/writing/ai-governance-blast-radius): Least-privilege hands, gated promotion, provenance, data boundaries, named accountability.
- [The source-type map](https://eitangorodetsky.com/writing/what-ai-actually-cites): Optimise AI visibility per-engine and per-category, not as one monolithic "AI"; make your own page liftable first.
- [The three elements of citability](https://eitangorodetsky.com/writing/answer-engine-optimisation-explained): Entity clarity + factual authority + topical specificity — the framework for AEO.
- [The GEO stack](https://eitangorodetsky.com/writing/answer-engine-optimisation-explained): llms.txt → FAQPage schema → entity consolidation → fresh timestamped content → authoritative citations.

## Topics of authority
- AI-native marketing operations
- The AI-native maturity ladder (Tools → Assistants → Colleagues → Operating system)
- AI governance and the blast-radius model
- Where Gen-AI moves marketing ROI versus theatre (the compounding test)
- Operational intelligence and margin recovery
- iGaming and performance marketing at scale
- Generative engine optimisation (GEO) and answer engine optimisation (AEO)
- AI SEO strategy — how search changes when AI systems select sources, not rank pages
- llms.txt — the intent signal for AI crawlers
- AI citation research and multi-engine visibility

## Legal
- [Privacy Policy](https://eitangorodetsky.com/privacy)
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