Google’s Policy on AI-Generated Content

Google Search Central’s guidance says generative AI can help research a topic or add structure to original content. It also warns that using generative AI or similar tools to create many pages without adding value for users may violate the spam policy on scaled content abuse. Google’s spam policy defines that abuse by the purpose and value of the content, regardless of whether a person, automation, or AI produced it. The policy does not establish an automatic ranking penalty triggered solely by AI authorship. This distinction matters because “AI-written” describes a production method, while the spam policy addresses behavior intended to manipulate search results. A small number of AI-assisted pages can still be inaccurate, thin, or misleading. A human-written content farm can also be unhelpful and scaled. Conversely, an AI tool used for outlining or data analysis can support a useful page when the publisher adds first-hand experience, original research, expertise, and careful review. Quality depends on what readers receive. Publishers should make a concrete review process: confirm facts against reliable sources, check dates and product claims, remove invented specifics, add context that is unavailable in generic summaries, and ensure the page answers the reader’s actual question. Avoid producing near-duplicate pages for every keyword variation or stitching content from other sites without adding value. If the content concerns health, law, finance, or safety, factual review should come from qualified people and current primary sources. Google’s guidance also says disclosure about AI assistance may be useful when readers would reasonably ask how content was created, but it is not a universal requirement for every page. Disclosure does not make incorrect information acceptable, and the absence of a disclosure is not itself proof of spam under this guidance. Search policies can change, so publishers should check the live Search Central documentation and applicable platform rules before making decisions.