Google’s AI Search Guide Labels AEO and GEO as ‘Still SEO’
▼ Summary
– Google published new documentation stating that optimizing for generative AI Search features, including AI Overviews and AI Mode, is still standard SEO.
– The guide explicitly says tactics like llms.txt, content chunking, rewriting for AI, and seeking inauthentic mentions are unnecessary for Google Search.
– Google advises focusing on “non-commodity content” that provides unique insight, as well as standard technical SEO practices like indexing and snippet eligibility.
– For local and ecommerce visibility in AI responses, Google recommends using Merchant Center feeds and Google Business Profiles.
– The documentation includes initial guidance on agentic experiences, referencing the Universal Commerce Protocol (UCP) as an emerging standard.
Google has released a new documentation page aimed at helping websites optimize for its generative AI search features, including AI Overviews and AI Mode. Titled “Optimizing your website for generative AI features on Google Search,” the guide expands on earlier documentation from 2025 and shifts focus toward actionable optimization advice while directly naming tactics site owners can safely ignore.
Two sections stand out. Google explicitly calls out popular optimization strategies it says are unnecessary, and it reframes the AEO (answer engine optimization) and GEO (generative engine optimization) conversation as simply part of standard SEO.
Google opens by reaffirming that foundational SEO best practices remain critical for generative AI search. Its AI features are “rooted in our core Search ranking and quality systems” and rely on retrieval-augmented generation (RAG) and query fan-out to pull content from the Search index. On the terminology debate, Google is blunt. It defines AEO and GEO, then states: “From Google Search’s perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO.” This aligns with comments Google employees like Gary Illyes and Cherry Prommawin have made at conferences, and it now appears in official documentation as a definitive reference.
The “Mythbusting generative AI search” section lists tactics Google says are unnecessary for its search engine. The guide is more explicit than previous documentation, specifically naming llms.txt, chunking, inauthentic mentions, and AEO/GEO. Google says site owners don’t need to create special machine-readable files, AI text files, or markup to appear in generative AI search. It also states there’s no need to break content into small pieces for AI systems, as Google’s systems “are able to understand the nuance of multiple topics on a page and show the relevant piece to users.” Danny Sullivan echoed this in January 2026, noting he’d spoken with Google engineers who advised against chunking.
On rewriting content, Google says AI systems can handle synonyms and general meanings, so site owners don’t need to capture every long-tail keyword variation or write in a specific style for generative AI search. Seeking inauthentic mentions isn’t helpful, as core ranking systems focus on quality and other systems block spam. Structured data isn’t required for generative AI search, and there’s no special schema.org markup to add,though Google recommends continuing to use it for rich results eligibility. These recommendations run counter to advice in some AI search optimization guides, which often promote chunking and structured data.
For what to focus on, Google emphasizes non-commodity content. It contrasts generic “7 Tips for First-Time Homebuyers” with a unique alternative like “Why We Waived the Inspection & Saved Money: A Look Inside the Sewer Line.” The key is whether content offers unique insight beyond common knowledge. Technically, pages must be indexed and eligible for snippets to appear in generative AI features. Google recommends following crawling best practices, using semantic HTML, adhering to JavaScript SEO best practices, providing good page experience, and reducing duplicate content. For local and ecommerce optimization, Google suggests Merchant Center feeds and Google Business Profiles, and mentions Business Agent,a conversational experience for customer-brand interactions on Search.
A new section on agentic experiences describes AI agents as “autonomous systems that can perform tasks on behalf of people, such as booking a reservation or comparing product specifications.” Google notes that browser agents may access websites by analyzing screenshots, inspecting the DOM, and interpreting the accessibility tree. The guide links to web.dev’s agent-friendly website best practices and references the Universal Commerce Protocol (UCP) as an emerging protocol that “will allow Search agents to do more.” Google announced UCP earlier this year, co-developed with Shopify and endorsed by more than 20 companies.
This guide provides Google’s clearest guidance yet on what to prioritize for generative AI features. It consolidates positions previously scattered across conferences, podcasts, and blog posts into a single reference. The mythbusting section carries the most weight, telling site owners to skip tactics promoted by the growing AEO/GEO industry. While this doesn’t settle the debate for non-Google AI platforms like ChatGPT or Perplexity, it establishes Google’s official stance. The agentic experiences section is early-stage and framed as optional for businesses where agent access is relevant.
Google’s closing note reassures that site owners don’t need to implement everything in the document to succeed. “Plenty of content thrives in Google Search (including generative AI experiences) without any overt SEO at all.” The agentic experiences guidance is labeled as something to explore “if this is something that’s relevant to your business and you have extra time,” suggesting Google sees agent optimization as forward-looking rather than urgent.
(Source: Search Engine Journal)
