What is generative engine optimization (GEO)?
Generative engine optimization is the practice of making a person or business the answer AI assistants give, rather than one of the links a search engine lists. It covers the structure, content, and consistency signals that determine whom ChatGPT, Perplexity, Gemini, and Google AI Overviews name when asked for a recommendation.
Classic SEO competes for position on a results page a human will scan. GEO competes for a different surface: the single answer an assistant composes. The two overlap heavily in their inputs, and good GEO work usually improves classic rankings too, but the target is different. A results page has ten winners. An answer usually has one, sometimes three.
In practice GEO means writing content that answers questions directly enough to be quoted, marking up every page with structured data so a machine can extract the facts, keeping the subject’s identity consistent everywhere it appears, and maintaining the profile and review signals assistants lean on for local questions. See our full explainer for the mechanics.
Why it matters for real estate specifically
Choosing an agent is exactly the kind of high-stakes, low-information decision people now hand to assistants. The question "who is a good realtor near me" has moved from a search box, where an agent could buy their way onto the page, to a chat window, where they cannot. The agents who adapt to that shift early hold an advantage that compounds, because the signals GEO builds accrue over time.
For the terms used in this field, see the glossary. For whether the work is paying off, the test is simple and measurable: ask the assistants and count. That count, run against a fixed question set each cycle, is exactly what our monthly report shows.