Scaled content abuse: what Google actually prohibits

The term entered Google's spam policies on 5 March 2024, alongside expired domain abuse and site reputation abuse. It builds on the older policy against automatically generated content, which had fallen short: it described the method of production while the problem sat somewhere else.

The line does not run along the question “did a machine write this?”. It runs along purpose. Many pages created primarily to manipulate rankings rather than to help searchers fall inside it, no matter how they were created. Google was explicit when it widened the policy: it applies whether the content comes from automation, from human effort, or from a mix of the two.

Read the rule backwards and you get it wrong in both directions. A thousand hand written product pages with no information of their own, traced from one another, fit the definition. A well researched article in which a language model helped structure or draft the text, with review and a contribution of your own, does not fit merely because the tool was used.

It should be kept apart from thin content, which describes how poor one individual page is. Here the defining trait is volume combined with intent.

The spam policies name five concrete patterns. Using generative AI tools or other similar tools to produce many pages without adding value. Scraping feeds, search results or other content to generate pages in series, including automated transformations such as synonymising, translating or otherwise obfuscating. Stitching together fragments from different pages without adding anything. Setting up multiple sites to hide the fact that the content is produced on a conveyor belt. And publishing pages that barely make sense to a reader yet contain the search terms.

The instruction closing that list is short and usually skipped over: if a site hosts content of that kind, it must exclude it from Search. Stopping production is not enough.

There are two routes of enforcement. The automated one, in which the ranking systems demote such content with no notice at all; the drop shows up in the data and in no report. And the manual one, in which a human reviewer establishes the violation. In that case a message arrives in the Search Console account, and the manual actions report names the type of problem and the affected URL pattern, which can be one directory or the entire site. The most severe notice on that list mentions scaled content abuse among the aggressive techniques.

Getting out of a manual action requires fixing all affected pages, not a portion of them, and then requesting a review with examples of what was removed and what was published instead. Fixing a portion does not return a portion of the visibility.

The decision hanging on this policy is how much automated production makes sense and under what controls. A catalogue of twelve thousand items, a directory of towns or a comparison section can be generated over a weekend. The operational question is not whether using the generator is allowed, but what each page contributes that the template does not already contribute.

For anyone commissioning content the purchasing criterion changes too. A supplier offering a hundred texts a month at a price that does not even cover the research is selling volume, and volume without a contribution of its own is precisely the pattern described. The risk is not carried by the supplier, it is carried by the domain.

And the way you audit changes. Instead of asking about the tool, you review a sample: what information does this page hold that is not on the other four hundred from the same mould? If the answer is the name of the town and little else, the problem belongs to the spam policy, not to style.

• Define, for every generated template, which piece of your own data justifies it: real stock levels, verified prices, measurements you took, documented experience of use.
• Review and edit every AI-assisted text to editorial standards before publishing it, and make one named person accountable for each piece.
• Publish in small batches and measure real usefulness before scaling, instead of uploading thousands of URLs at once.
• Audit a random sample of what has been published at regular intervals, and compare pages from the same mould against each other.
• Remove serial content that contributes nothing from Search, rather than leaving it indexed in the hope that nobody notices.
• Give readers context on how the content was created whenever automation played a significant part.

• Reading the policy as a ban on AI and giving up, out of fear, tools that save real work.
• Reading it as a licence and publishing en masse while quality is measured by word count.
• Shipping the machine translation of an entire catalogue unreviewed and presenting it as a local version.
• Stopping serial production while leaving everything already published indexed.
• Fixing only the example pages named in a notice and requesting the review with the rest untouched.