Core

What is Generative Engine Optimization?

The full name of GEO: optimizing for engines that generate answers rather than list links.

Definition

Generative Engine Optimization is the full name of GEO. The term was popularised by a 2024 KDD paper that tested which content changes raised a source’s visibility in generative search in a benchmark setting, with citations, statistics and quotations among the most effective. The paper’s results are a direction, not a guarantee for live platforms, which change weekly.

As a discipline it covers the whole cycle: understanding what buyers ask AI, measuring how the brand appears, finding the gaps and their causes, creating and distributing the information engines need, correcting what they get wrong, and measuring the change. Platforms that stop at measurement are monitoring tools; GEO as a practice ends in an action.

Why it matters

The name matters because it fixes the goal: not a position on a page, but presence in a generated answer, with the brand’s own facts as the evidence.

How it is measured

On a fixed prompt set over time: visibility, citation share, narrative alignment, claim accuracy and competitor gap, each with a sample size and run date.

Measure Generative Engine Optimization for your brand Perplexity ChatGPT Claude Gemini Microsoft Copilot DeepSeek Google AI Overviews

A first reading from one website address, with the questions behind the number.