Google clarifies AI search optimization for websites, debunks myths

Image credit: Search Engine Journal

Google published new documentation clarifying how websites can optimize for generative artificial intelligence features within its Search platform, emphasizing that answer engine optimization (AEO) and generative engine optimization (GEO) remain integral to traditional SEO.

The guide, titled ‘Optimizing your website for generative AI features on Google Search,’ expands upon previous AI feature documentation from 2025 and aims to dispel several popular misconceptions surrounding AI search optimization.

According to the document, Google Search considers AEO and GEO as ‘still SEO,’ reinforcing the idea that fundamental web optimization principles continue to apply even with the rise of AI-driven search experiences.

The company explicitly debunked various optimization tactics as unnecessary for generative AI search, including the use of llms.txt files, content chunking, rewriting content specifically for AI, seeking inauthentic mentions and implementing special structured data.

Gary Illyes, a Search Advocate at Google, previously indicated that many AI SEO tactics were misguided, a sentiment echoed in the new official guidance.

Instead, Google recommended that webmasters focus on foundational SEO best practices, including producing ‘non-commodity content,’ ensuring technical eligibility for indexing and snippets, and optimizing for local and e-commerce visibility.

The guidance also introduced initial recommendations for ‘agentic experiences,’ where AI agents perform tasks on behalf of users, linking to web.dev’s guide and referencing the Universal Commerce Protocol (UCP), a standard supported by companies like Shopify.

Danny Sullivan, Google’s Public Liaison for Search, and Vidhya Srinivasan, vice president of Engineering, have consistently highlighted the importance of high-quality content and user experience as central to search rankings, a principle extended to AI-powered results.

The document serves as a direct response to growing industry speculation and the emergence of various AI SEO strategies following the introduction of generative AI features in search engines like Google, ChatGPT and Perplexity.

Cherry Prommawin, a Google Search Relations team member, noted that the new documentation provides a unified resource for understanding Google’s approach to AI and web content.

Source: Search Engine Journal