Optimizing Websites for Google Search's Generative AI Features

Google emphasizes that even in a search environment where generative AI features like AI Overviews have been introduced, traditional SEO is ultimately what matters most. Terms like AEO (Answer Engine Optimization) or GEO (Generative Engine Optimization) are merely new labels—the essence still lies in improving the search experience.

How AI Search Works

• RAG (Retrieval-Augmented Generation): Generates responses by retrieving quality pages indexed through existing search systems.
• Query fan-out: Uses a method of gathering information by deriving related search queries.

Core SEO Strategies

• Non-commodity content: Create content with original perspectives and firsthand expert experience that AI cannot easily replicate.
• Maintain technical SEO: Strengthen the technical foundation, including crawl accessibility, semantic HTML, and mobile-friendliness.
• Prepare for an agent environment: Build a machine-friendly web structure so future browser agents can interact with it more easily.

Misconceptions to Avoid

• There's no need to force-create AI-exclusive files like llms.txt or special markup.
• Artificial content chunking or keyword stuffing is unnecessary thanks to AI's contextual understanding capabilities.
• Spammy activities aimed at increasing backlinks or mention counts are blocked by Google's policies.