Google’s AI Optimization Guide: AEO & GEO Are Still SEO, Says Google
Google has formally clarified that Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) should not be viewed as separate disciplines from Search Engine Optimization (SEO). In its new AI Search optimization guide, the company states that optimizing for AI-powered search experiences—including AI Overviews and AI Mode—is fundamentally an extension of traditional SEO, with the same ranking and quality systems determining visibility.
The guidance explains that Google’s AI search features rely on its existing Search infrastructure, using technologies such as retrieval-augmented generation (RAG) and query fan-out to retrieve relevant web pages before generating AI responses. As a result, websites that already follow Google’s long-standing SEO best practices are well positioned for AI-powered search without requiring an entirely new optimization strategy.
One of the guide’s strongest messages is aimed at debunking common AI SEO myths. Google says website owners do not need to create llms.txt files, rewrite content specifically for AI, break articles into artificial “chunks,” or add special AI-focused schema markup simply to appear in AI-generated search experiences. According to Google, these tactics are unnecessary for visibility in Google Search’s generative AI features.
Instead, Google recommends focusing on what has always mattered: publishing original, helpful, people-first content that demonstrates expertise and offers unique value. The company encourages publishers to create content based on first-hand experience, maintain technically accessible websites, ensure efficient crawling and indexing, and build strong topical authority over time.
The guide also introduces recommendations for businesses preparing for AI-driven user experiences. Google advises maintaining accurate Merchant Center product data, keeping Business Profiles up to date, and ensuring websites are accessible to emerging AI agents that may perform tasks such as comparing products, making reservations, or completing transactions on behalf of users.
Google has further urged marketers to evaluate AI optimization advice carefully, noting that many third-party services make unsupported claims about how Google’s AI systems operate. The company recommends treating its official Search documentation as the primary reference for SEO, AEO, and GEO practices while viewing external guidance as opinion unless it is supported by official documentation or credible evidence.
The publication of the AI optimization guide is widely viewed as Google’s clearest statement yet on the future of search. While AI-powered search is changing how users discover information, Google’s message remains consistent: success in AI search is built on the same foundations as traditional SEO. High-quality content, technical excellence, user experience, and trust remain the core principles for earning visibility in both conventional search results and AI-generated answers.
