Google does not penalise content because it was written by an AI. It penalises content that is unhelpful, thin, or produced at scale without editorial oversight, regardless of the tool used to make it. The distinction matters enormously for how you use AI in your content process.
Google has been explicit on this point since at least 2023. Its public documentation states that what matters is whether content is helpful, reliable, and people-first, not how it was produced. A well-researched, specific, human-reviewed article that was drafted with AI assistance is treated exactly the same as one written entirely by a human. A thin, repetitive, auto-generated page that provides no real value is penalised, regardless of whether a human or a machine typed the words.
The policy Google applies here is the helpful content system, which runs as a sitewide signal. If a large proportion of your site's content is assessed as unhelpful, that assessment can suppress the entire site's rankings, not just the individual weak pages. This is why the tool used to produce content is largely irrelevant: what matters is the output, and whether a real reader would find it genuinely useful.
Three categories consistently attract action. The first is scaled content abuse: publishing large volumes of content specifically to manipulate rankings, with little or no editorial review. This is explicitly named in Google's spam policies and has been enforced aggressively since the March 2024 core update, which deindexed a number of sites operating content farms at scale. The second is content without added value: pages that simply restate what is already said on the top-ranking page, adding no new data, no distinct perspective, no original analysis. The third is misleading or inaccurate content, particularly in YMYL (Your Money or Your Life) topics, where Google holds publishers to a stricter standard.
AI is not named in any of these categories. But AI without oversight is the fastest way to produce all three. A language model instructed to produce 500 words on a topic will produce something adequate and generic by default. That is the scaled-abuse pattern. The problem is not the AI. It is the absence of a human making a genuine editorial judgement at the end of the process.
Quarrybank's approach to this is simple: every draft goes through a quality check before it can be published, and a human approves it. That gate is not bureaucratic friction. It is the mechanism that keeps AI assistance on the right side of Google's policies.
The quality check runs against a set of rules: does the first paragraph directly answer the question? Does the article contain at least one verifiable, specific claim? Is it free of padding and confident generalities? Does it link to relevant internal pages? A draft that fails those checks does not get published. That is not a high bar, but it is a real one, and it is the bar that distinguishes useful content from the scaled-abuse pattern.
The approval step is where the human editor reads the output and confirms it is genuinely useful, not just formally correct. That judgement cannot be automated. It is the reason AI assistance and editorial quality are not in conflict: the AI handles the first draft efficiently, the human decides whether it meets the standard.
If you are using AI to draft content and a human is reviewing and approving each piece before it goes live, you are operating exactly within Google's stated expectations. If you are publishing AI output without review, or using it to produce content at a volume that makes per-article review impossible, the policy risk is real and has already caught other sites.
The question is not whether to use AI in your content process. It is whether your process maintains genuine editorial quality at the point of publication. That is what Google rewards, and it is what builds durable rankings rather than a library of pages waiting to be caught in the next core update.
Related: Google's scaled content abuse policy · What is a content moat? · Meet Kenneth, the editor who builds it
Quarrybank drafts each article, runs it through an automated QC check, and requires human approval before anything goes live. That is how you use AI safely.
Request founding access