Your customers have a new first stop before they call you: an AI assistant. Instead of scrolling a page of blue links, they ask ChatGPT, Gemini, or Perplexity for a recommendation and act on the answer. If your business is not part of that answer, you are not in the running.
Generative Engine Optimization (GEO) is the practice of structuring your website, content, and online signals so AI systems understand, trust, cite, and recommend your business.
GEO vs traditional SEO
SEO is about ranking your pages in a list of results. GEO is about being included in a generated answer. The two overlap, but GEO puts extra weight on a few things:
- Clarity — content that states plainly what you do, who you serve, and where.
- Structure — schema markup and clean formatting that machines can parse.
- Consistency — the same facts about your business everywhere AI might look.
- Citations — being referenced by sources AI already trusts.
How AI decides who to recommend
AI assistants pull from their training data, live web results, and structured signals. When the facts about your business are clear and repeated across trustworthy sources, the model is far more likely to surface you confidently rather than guess.
Where to start
The first step is to see what AI already says about you. A quick AI visibility audit shows how assistants describe you today and where the gaps are. From there, a structured GEO program closes those gaps with schema, answer-ready content, and citation strategy.
GEO is early, which is exactly why it is an opportunity. The businesses that get structured now will be the ones AI recommends as buyers shift their research to assistants.
