Google has published what is arguably its clearest guidance yet on how websites can perform well in AI-driven search experiences like AI Overviews and the newer AI Mode, and the core message will feel very familiar to anyone who has spent time in SEO.
The company states plainly that the best practices for SEO remain relevant for AI features in Google Search and that there are no additional requirements to appear in AI Overviews or AI Mode, nor any special optimisations necessary.
That single line alone cuts against a significant amount of advice circulating in marketing circles right now.
The guidance, published on the Google Search Central Blog, tells site owners to focus on making content “unique, non-commodity” and to provide visitors with satisfying, original content, framing this as the core of what Google wants to surface across both its classic and AI search results.
Perhaps more striking for those who have been tracking the rise of so-called Generative Engine Optimisation (GEO) and Answer Engine Optimisation (AEO) as emerging disciplines
Google explicitly says publishers don’t need to create new machine-readable files, AI text files, or special markup to appear in these features.
That’s a direct shot at the wave of LLMS.txt hype and AI-specific content rewriting strategies that have been promoted heavily across the industry.
On the technical side, Google confirms that to be eligible for inclusion in AI Overviews or AI Mode, a page simply needs to be indexed and eligible to appear in standard Google Search with a snippet, with no additional technical requirements beyond that.
The document does touch on some newer territory.
Both AI Overviews and AI Mode may use a “query fan-out” technique, issuing multiple related searches across subtopics and data sources to develop a response, with advanced models identifying a wider and more diverse set of supporting web pages than classic search would.
Google frames this as an opportunity for more types of sites to gain visibility, not a reason to overhaul content strategy.
On the traffic question, Google notes that clicks from search results pages featuring AI Overviews tend to be higher quality, with users spending more time on the destination site, and suggests publishers look beyond raw click volume.
For seasoned SEOs, the document reads less like a disruption and more like a reaffirmation. The fundamentals Google has been preaching for years, original content, strong crawlability, people-first experiences, remain the foundation.
The AI layer on top of search does not appear, at least according to Google, to require a parallel and separate optimization playbook.
Whether that message lands will depend on how willing the industry is to hear it. The GEO and AEO consulting market has grown considerably on the assumption that AI search demands something fundamentally new. Google, for now, is saying it doesn’t.
