AI news story

Google says GEO and AEO are a myth and traditional SEO is all you need for AI search

Google says the SEO industry's favorite new buzzwords, "generative engine optimization" and "answer engine optimization," are just regular SEO by another name. In new documentation, the company dismantles common tactics like LLMS.txt files and conten

  • Generative
  • Source: The Decoder
  • Published: 2026-05-16
  • Signal score: 5
  • 11 sources

Editor's take

Google has clarified that "generative engine optimization" (GEO) and "answer engine optimization" (AEO) are not distinct disciplines from traditional search engine optimization (SEO), asserting that established SEO principles remain paramount for success in its AI-powered search environment. This statement directly addresses industry speculation and vendor offerings that have emerged around optimizing content for generative AI features like AI Overviews.

The significance lies in Google's attempt to consolidate the SEO landscape and prevent fragmentation. By emphasizing existing SEO best practices, Google aims to maintain control over search quality and user experience, pushing back against tactics that could be perceived as gaming its new AI capabilities. This affects SEO professionals by reinforcing the need to adapt current strategies rather than adopting entirely new ones, and it impacts content creators who must continue focusing on comprehensive, authoritative content.

Moving forward, it will be crucial to observe how Google's AI search algorithms evolve and whether its stance on GEO/AEO remains firm. The efficacy of traditional SEO tactics in consistently ranking for AI-generated answers, particularly in competitive niches, warrants continued scrutiny. Furthermore, the development and adoption of any new, legitimate optimization techniques that emerge specifically for AI-driven search will be a key indicator of how this landscape ultimately shapes out.

Signal score: 5

This event was corroborated by 11 independent sources. The signal score weighs cross-source corroboration, recency, source weight and topic salience. How we rank stories.

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