Google’s New AI Search Guide Calls AEO And GEO ‘Still SEO’: Google Reaffirms SEO Fundamentals for the AI Search Era
Google has officially clarified one of the biggest debates in digital marketing by stating that Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) are not separate disciplines from Search Engine Optimization (SEO). In its new AI Search optimization guide, the company explains that optimizing for AI-powered search experiences—including AI Overviews and AI Mode—is fundamentally the same as optimizing for Google Search, making traditional SEO the foundation for AI visibility.
The guidance marks Google’s most comprehensive documentation to date on optimizing websites for generative AI search. According to Google, AI-generated responses are powered by its existing Search ranking and quality systems, combined with technologies such as retrieval-augmented generation (RAG) and query fan-out. This means that websites appearing in AI responses are generally selected using the same quality signals that determine traditional search rankings.
A key highlight of the guide is Google’s effort to debunk several popular AI SEO myths. The company states that website owners do not need to create llms.txt files, rewrite content specifically for AI systems, split pages into small “AI-friendly” content chunks, or implement special schema markup solely for generative AI search. Google says these practices are unnecessary for improving visibility in its AI-powered search experiences.
Instead, Google urges publishers to focus on creating original, non-commodity content that provides unique expertise, first-hand experience, and valuable insights beyond information already widely available online. The company emphasizes that technically sound websites, strong page experience, semantic HTML, crawlability, and high-quality content remain the most important factors for success in both traditional and AI-driven search.
The guide also highlights the growing role of local business information and e-commerce data in AI search. Google recommends maintaining accurate Merchant Center product feeds and Google Business Profiles to improve visibility in AI-generated shopping recommendations and local search responses. Businesses are also encouraged to prepare for emerging AI agents capable of completing tasks such as comparing products or making reservations directly from search interfaces.
Industry experts view Google’s announcement as an attempt to bring clarity to a rapidly evolving market where many agencies have promoted AEO and GEO as entirely new optimization services. While AI search introduces new user behaviors and measurement metrics, Google maintains that the core principles of helpful, trustworthy, and technically optimized content remain unchanged. The guidance reinforces that successful AI visibility begins with strong SEO rather than AI-specific shortcuts.
As AI-powered search continues to evolve, digital marketers are expected to expand their SEO strategies by tracking AI citations, conversational search visibility, and brand mentions across answer engines. However, Google’s latest guidance makes its position clear: the path to AI search success is not a replacement for SEO, but an extension of it built on the same long-established principles of quality, relevance, and user value.
