Google Updates Spam Policy to Target AI Manipulation

Google has officially updated its search spam policies to explicitly include attempts to manipulate generative AI responses, such as those found in AI Overviews and AI Mode [1]. The change, which was quietly implemented on Friday, marks a significant shift in how the company defines and polices deceptive practices within its search ecosystem [3].

The updated policy now defines spam as any technique used to deceive users or manipulate Google’s systems into featuring content prominently, specifically citing "attempting to manipulate generative AI responses in Google Search" as a violation [2]. Previously, the policy only referred to the manipulation of traditional search ranking systems [1]. By formalizing this language, Google is signaling that the same penalties—ranging from lower search rankings to complete removal from results—now apply to those who attempt to game its AI tools [2].

This update arrives as an entire industry of "generative engine optimization" (GEO) has emerged, with content creators and brands experimenting with tactics to ensure their sites are cited by AI search tools [2]. Some of these strategies include "recommendation poisoning," where sites inject instructions into LLMs to favor them as authoritative sources, or the creation of mass-produced pages that offer little value to users [2]. Google’s policy explicitly calls out the use of generative AI tools to create large volumes of content without adding value as a prohibited spam tactic [1].

The move follows a period of intense scrutiny regarding the reliability of Google’s AI-generated content. Earlier this year, the company was forced to pull certain AI Overview summaries after reports surfaced that they were providing inaccurate health information [1]. In another instance, a journalist successfully manipulated multiple AI search tools, including Google’s, to falsely claim he had won a specific sporting championship [1].

Google says it identifies these violations through a combination of automated systems and human review [1]. As the company continues to integrate AI more deeply into the search experience, the update serves as a warning to publishers that the rules of the road for traditional SEO now extend to the world of generative AI. It remains to be seen how effectively Google can distinguish between legitimate content optimization and the sophisticated new tactics designed to influence its AI models.