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What is scaled content abuse, and does Google penalise AI content in 2026?

15 October 2026 · By John Carlsson
Scaled content abuse is Google's spam policy against producing many pages mainly to manipulate search rankings rather than help people. Google does not penalise content simply because AI wrote it. It targets low-value content at scale whether it comes from automation, humans or both, and its guidance says AI content must still be fact-checked and add value.

What Google means by scaled content abuse

Google's spam policies define scaled content abuse as generating many pages for the primary purpose of manipulating search rankings and not helping users. The policy lists examples such as:

Google announced the scaled content abuse policy on 5 March 2024, alongside the March 2024 core update, as a stronger version of its older policy on automatically generated content. Google's announcement said the focus was on producing content at scale to boost rankings, whether automation, humans or a combination are involved. The same post said the update was expected to cut low-quality, unoriginal content in results, and a later update reported 45% less of it once the rollout finished on 19 April 2024.

Does Google penalise AI content in 2026?

Not for being AI content. Google's guidance on using generative AI content says AI can be useful for researching a topic and adding structure to original content, as long as the result meets Google Search Essentials and the spam policies. What it warns against is using AI tools to generate many pages without adding value for users, which may break the scaled content abuse policy.

So the question Google asks is about value and purpose, not the tool. A small number of well-checked pages written with AI help is treated differently from thousands of thin pages produced to catch search traffic.

What changed in 2026

Google's documentation updates page records three relevant changes this year:

Google notes that quality raters' ratings do not directly influence ranking. The rater guidelines show what Google considers low quality, which is useful when you review your own pages.

How to use AI without breaking the policy

  1. Fact-check everything. Google's guidance says generative models do not retrieve facts and can produce errors, so review all AI output before publishing.
  2. Check the parts people do not see on the page. Titles, meta descriptions, structured data and image alt text can all appear in Search, so review them too. Validate structured data.
  3. Add something of your own: experience, original data, worked examples or a clear answer that is not already everywhere else.
  4. Do not publish pages simply because a keyword tool lists a phrase. If a page would not help a visitor who landed on it, do not create it.
  5. Consider telling readers how the content was made. Google says this kind of context can help people.
  6. If you already have large numbers of thin generated pages, the spam policy suggests excluding that content from Search.

Our Google Spam Policy Audit checks a site against Google's spam policies one by one, so you can see which pages need attention.

Sources

Frequently asked questions

Do I have to label AI-generated content on my website?

Google's generative AI guidance does not make labelling a ranking requirement for ordinary web pages, but it recommends giving readers context on how content was created, such as explaining how automation was used. Google Merchant Center is stricter: AI-generated product images need IPTC metadata marking them as made by a trained algorithm, and AI-generated product titles and descriptions must be labelled.

Can a scaled content abuse problem lead to a manual action?

Yes. Google's spam policies say it detects violations through automated systems and, where needed, human review that can result in a manual action. Sites that break the policies may rank lower or not appear at all. If you receive one, it shows in the Manual actions report in Search Console, where you fix every affected page and then request a review.

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