What is generative engine optimization (GEO)?

GEO is the discipline of shaping how AI engines generate answers about your brand. When an engine composes a response to a buyer's question and decides which brands to name and recommend, GEO is the deliberate work that influences that outcome in your favor — ethically, by making you genuinely more credible and better represented, not by tricking the engine.

The "generative" in GEO matters: it's about the synthesized, generated answer, not a ranked list. You're optimizing to be part of what the model produces, which is a different target than a blue link on a results page.

GEO is a set of reinforcing activities:

• Defining the buyer questions you want to win (your prompt set).
• Producing accurate, well-structured content that answers those questions and that engines can parse and quote.
• Earning credible citations from the sources AI trusts in your category.
• Correcting how AI frames you, and strengthening the recommendation when it mentions you.

GEO and AI visibility are two sides of one coin. AI visibility is the measurement — how does AI represent us today? GEO is the response — the strategy to change it. You measure to know where you stand, then apply GEO to improve, then measure again. Neither is much use without the other.

GEO emerged because being recommended in a generated answer needs work the older playbooks didn't cover: engineering which questions to compete on, earning entity-level authority, and influencing synthesis rather than ranking. It builds on SEO fundamentals but aims at a new objective.