GEO: your company as the answer AI gives.
Generative engine optimization makes sure your company gets named when people ask ChatGPT, Gemini, Claude or Perplexity about products and providers. The answer an AI gives decides who gets considered at all. First I measure how visible you are in AI answers today. Then I make your content citable for the search of tomorrow.
What is generative engine optimization?
GEO means shaping content, technology and trust signals so that AI systems understand a website, cite it and put it forward as a recommendation. You will also see the terms LLMO and AEO used for much the same thing. The goal behind all three is identical: showing up in AI-generated answers, not only in the traditional list of results. Gartner expects search volume through classic search engines to fall by a quarter by 2026, with that traffic moving into AI chats and AI Overviews.
How does an AI “read” your website?
AI systems break a page into units of meaning and ask one question of each: is this clear, is it evidenced, can it be traced to a source? What gets cited tends to be short and specific. Paragraphs with facts and figures, clear authorship, structured data, a consistent company entity and pages that load fast and can be crawled. Vague marketing copy simply drops out, because the model cannot do anything with it. That is where I start, turning what you already have into citable answers.
The GEO audit: where do you stand today?
It starts with measurement. I put the questions your customers ask to ChatGPT, Gemini, Claude and Perplexity, and I record what comes back: whether your company appears at all, how it is described, which competitors get named, which sources the model leans on. Out of that comes your own AI visibility report with concrete measures, ranked by what will move the needle first. I am glad to run this audit as a way into a conversation.
Structured data, llms.txt & citable content
The work happens on three levels. Technically, that means Schema.org markup, clean sitemaps, an llms.txt file and fast static pages. Editorially, it means question-and-answer structures, facts you can back up, and consistent details about company, location and services on every single page. And then there is reputation: mentions in directories, specialist articles and reviews, which is where a model gets its sense of whether you can be trusted. Everything documented, everything traceable.
SEO + AEO + GEO: how they work together
Google says it plainly in its 2026 documentation: optimising for generative AI search is still SEO. Which means there is no AI visibility without a clean SEO foundation, because what Google cannot crawl, no model can cite. AEO prepares content as direct answers. GEO adds citability and the brand signals the language models look for. I work across all three and run them as one system rather than three separate budgets. SEO services · Article: SEO, AEO and GEO explained