Scaled Content Abuse: where Google draws the line on AI content

Last updated 22 October 2026 · 4 min read · by Marco Schulz

Scaled Content Abuse is a spam policy that Google introduced in March 2024. It applies to many pages that are mainly created to influence rankings and offer readers little or no value, regardless of whether humans, machines or both created them. According to Google, using AI itself is not a violation. What matters is the usefulness and originality of each individual page, not the production method.

Scaled Content Abuse is the name of a spam policy that Google introduced in March 2024 alongside two other rules. It's the one place in Google's documentation where AI content can actually pose a risk. Anyone running a company blog with AI should therefore know exactly what the policy says, and above all, what it doesn't say.

What the policy says

Google describes Scaled Content Abuse roughly as follows: it occurs when many pages are created whose main purpose is to influence rankings and which don't help users. A typical sign is a large volume of unoriginal content with little or no value, regardless of how it was produced: through automation, by humans, or a combination of both.

Three points from this are important for small businesses:

  1. The method doesn't matter. The policy replaced the earlier rule on "automatically generated content". Google no longer wants to judge whether a machine wrote something, but whether the result is useful.
  2. It's about volume without value. The word "scaled" refers to scale: many pages, no benefit. A single weak post doesn't fall under this.
  3. The purpose counts. Pages built primarily for search engines, not for readers.

What Google gives as examples

Among others, the documentation lists these cases (paraphrased):

  • Using generative AI tools to create many pages without offering users any added value.
  • Scraping content from feeds, search results or other sources and presenting it as your own pages.
  • Combining or lightly altering content from various pages without adding value.
  • Running multiple websites to disguise the extent of the scaling.
  • Creating many pages whose content makes little or no sense to readers.

None of these examples describe a company blog that answers a customer question once a week. All of them describe websites that produce volume instead of answers.

The distinction: allowed or not

ApproachContext
One post per week on a genuine customer question, with details from the business, checked and approvedNo violation. Google judges AI content by the same criteria as other content.
The same post in twenty variants for twenty place names, with only the place swappedRisk. Volume without individual value per page.
A hundred glossary pages, each with three sentences from a dictionaryRisk. Not original, no added value.
Posts that rephrase competitors' textsRisk. Combined or lightly altered content.
Twenty posts on twenty different questions from Search Console, each with its own exampleNo violation, even if all of them were created with AI.

The table shows that the line isn't drawn at the tool. It runs between "every page answers something of its own" and "every page is a copy with a different label". What Google means by helpful content is described in detail on the Helpful content page.

Five check questions for your own blog

  1. Does every post address its own question? If two posts serve the same search intent, one is superfluous. Merge them.
  2. Does every post contain at least one detail that could only come from your own business? A price, a project, a regional note, an experience. Without this, the post is interchangeable.
  3. Would you read the post to a customer over the phone? If that would feel uncomfortable, it's written for Google, not for people.
  4. Does the volume come from questions or from variants? Twelve posts from twelve customer questions are fine. Twelve posts from one question and twelve place names are a pattern Google explicitly describes.
  5. Has anyone read the post before publishing it? Not because Google requires it, but because unread posts are the first ones to offer no value.

Anyone who answers yes to all five questions is operating within what Google explicitly allows. How approval fits into an automated workflow is shown in Automating your blog.

What Google explicitly allows

As early as February 2023, Google stated that using AI or automation itself does not violate its guidelines, as long as the content isn't primarily intended to manipulate rankings. Automation is cited there as a legitimate tool, for example for sports results or weather reports. The 2024 policy doesn't change this, it only clarifies where the line lies. For a shorter answer to the question of whether AI text is penalised, see Is AI text penalised by Google?.

What to do with this

For a carefully run company blog, the policy isn't a threat, it's a benchmark. It forces you to limit each post to one question, fill it with details from your business, and read it before publishing. If you do that, you don't need to worry about scaled content abuse. If you go for quantity instead, you risk not just a demotion, but above all a website where nobody finds anything.

Frequently asked questions

From how many posts per week does a blog count as scaled content abuse?

Google doesn't give a number. The policy focuses on purpose and usefulness, not quantity. A blog with seven useful posts a week isn't a violation, and a blog with one useless post a week isn't spam either, but it's no win.

How do I know if Google has demoted my website for scaled content abuse?

With a manual action, a notice appears in Google Search Console under "Manual actions". Algorithmic demotions aren't reported, they show up as a drop in impressions and clicks. Without a notice, you can't be sure whether the drop is related to this policy.

Is an automated company blog with one post a week at risk?

Not if every post answers a specific customer question and includes details from your business. At risk are websites that generate hundreds of interchangeable pages for every location variant or synonym. The benchmark is whether a reader finds something on each page that they can't find elsewhere.

Does the policy also apply to texts that a human writes in bulk?

Yes. Google has explicitly worded the policy so that the production method doesn't matter. This replaced the earlier rule on automatically generated content. A team of writers producing a hundred uniform pages falls under it just as much as a machine does.

Sources

Marco Schulz · Founder of BlogPilot, Kreuzlingen · has been writing about visibility in Google and AI search since 2023

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