Your customers are asking AI, not Google.
A growing share of research now happens inside ChatGPT, Claude, Gemini, and Google's AI Overviews. If those tools do not know you, you are invisible to that audience.
Get Found · Generative Engine Optimization
Search is splitting in two. Alongside the ten blue links, AI assistants now answer questions directly, and they decide which sources to trust and cite. Generative Engine Optimization is the structured-data and entity work that gets you cited.
When this makes sense
A growing share of research now happens inside ChatGPT, Claude, Gemini, and Google's AI Overviews. If those tools do not know you, you are invisible to that audience.
Ask an assistant about your brand and the answer is thin, outdated, or inaccurate. That is an entity problem, and it is fixable.
Valid structured data is table stakes. Being recognized as a connected entity in the Knowledge Graph is what actually drives citations, and it is the part most sites never address.
GEO is where SEO was twenty years ago. The brands that build entity authority now will be the defaults AI reaches for later.
What gets done
How engagements work
I test how AI assistants describe you today, inventory your entity graph and structured data, and check Knowledge Graph recognition. You get a clear picture of where you stand.
I implement the structured data, entity wiring, and authority links that make you legible to AI, at the template level so it scales across the whole site.
We re-test against the assistants and validators, baseline what changed, and document the roadmap for compounding entity authority over time.
Selected work
Details anonymized; specifics available under NDA.
Common questions
GEO is the practice of making your brand and content legible to AI systems, ChatGPT, Perplexity, Google’s AI Overviews and the rest, so they recognize, trust, and cite you when answering questions. Where SEO optimizes for the ten blue links, GEO optimizes for the answer the assistant gives directly.
They overlap but aren’t the same. SEO is about ranking in search results; GEO is about being the source an AI assistant cites in its answer. GEO leans heavily on entity definition, structured data, and corroboration across the web, making sure AI systems understand who you are as a connected entity, not just which pages contain which keywords.
No, and anyone who guarantees it is selling something. AI systems decide what to cite, and the landscape shifts constantly. What GEO does is maximize the odds, with clean structured data, a coherent entity graph, authority signals, and content AI can extract, and measure how assistants describe you before and after so the improvement is visible.
That’s the argument for doing it now. GEO is roughly where SEO was twenty years ago: the brands that build entity authority early become the defaults AI reaches for later. The structured-data and entity work also strengthens traditional SEO, so it’s rarely wasted even as AI search evolves.
We baseline how AI assistants describe your brand and products today, check Knowledge Graph and Knowledge Panel recognition, then re-test after the work to show what changed: accuracy, completeness, and whether you’re being cited. It’s outcome-focused, not just a note that schema was added.
Recent thinking
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Read the articleGEO is a fixed-scope engagement: assessment, implementation, and a roadmap for compounding entity authority. Let us talk.
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