Answer engine optimization: the same work, a clearer name

Answer engine optimization (AEO) and generative engine optimization (GEO) are two names for the same concept: optimizing content so that AI systems can easily extract and attribute a direct answer from it. Both describe the work of making content answerable to AI assistants, featured snippets, and generative systems. The underlying checklist of requirements remains the same regardless of the label used.

To achieve AEO or GEO success, start by gathering real customer questions from support tickets, reviews, and sales conversations. Identify which pages on your site already answer these questions in text form. Then, focus on making that content more extractable by removing images, ensuring each section answers a single question, and placing key buying details in plain text.

AEO specifically targets AI answer surfaces like AI Overviews and featured snippets, whereas GEO focuses on generative systems like ChatGPT and Perplexity. In practice, the two are highly overlapping, and many professionals use the terms interchangeably. However, the work remains largely the same: provide clear, self-contained answers to specific questions, backed by credible sources.

The key differences between AEO and SEO lie in their goals. SEO aims to rank for a position in a list of search results, while AEO aims to be the sentence that answers a specific question. Additionally, a user can be mentioned in an AEO result without visiting the source, which differs from SEO where clicks are required to measure impact. To measure AEO results, track how often your brand is mentioned per model before and after making optimizations, using a fixed question set as your baseline.