Google's Scaled Content Abuse Policy: What It Covers and How It Is Enforced

Google's spam rules do not ban AI-generated content. They target scaled content abuse: many pages produced mainly to manipulate search rankings rather than to help users. The policy applies to any site that publishes in volume, and the method of production gives no protection. Pages written by people, by AI or by automation can all breach it.

What the policy says

Google defines scaled content abuse as many pages generated for the primary purpose of manipulating search rankings and not helping users. Such pages typically involve large amounts of unoriginal content that provides little or no value, however that content was created. The definition rests on purpose and value, not on technique.

The policy therefore applies to AI-generated, human-written, scraped, translated, automated and hybrid content. A site cannot avoid it by switching from software to human writers if the output is still mass-produced and of little use to readers.

Origins of the policy

Google introduced the scaled content abuse policy in March 2024. It built on and replaced the earlier policy on spammy automatically generated content. The same update added new sections on expired domain abuse and site reputation abuse.^†

The previous version, dated January 2024, defined spammy automatically generated content as content generated programmatically without producing anything original or adding sufficient value.^† It listed six examples, all focused on text. The replacement removed the dependence on automation and made scale and value the test.

The five listed examples

Google's spam policy gives five examples of scaled content abuse. They describe patterns of behaviour, not particular tools:

• Using generative AI or similar tools to generate many pages without adding value for users.
• Scraping feeds, search results or other content to generate many pages of little value, including where the material is synonymised, translated or otherwise obscured.
• Stitching or combining content from different pages without adding value.
• Creating multiple sites to hide the scaled nature of the content, or creating many pages whose content makes little or no sense to a reader but contains search keywords.

The final item covers two separate examples in Google's list. An earlier case shows what the keyword-stuffed pattern can look like in practice. Press reporting in August 2023 described how the urgent care clinic Nao Medical had flooded the internet with nonsensical AI-generated posts.^† Those pages are no longer live.

Where AI use is acceptable

Google's guidance says that using generative AI tools to generate many pages without adding value for users may violate the policy. The same guidance accepts that generative AI can help with researching a topic and with adding structure to original content.

Google's February 2023 guidance stated that not all use of automation, including AI generation, is spam.^† It gave sports scores, weather forecasts and transcripts as examples of helpful automated content. The same reasoning applies to templates. Templated pages do not breach the policy in themselves. The risk arises when a template produces near-duplicate pages with little substance specific to each page.^†

Google also warns that generative models predict likely word sequences rather than retrieve facts, so their output may contain inaccuracies, often called hallucinations.^† It recommends manually fact-checking AI-generated content. That check should include metadata such as title elements, meta descriptions, structured data and image alt text.

No published thresholds

Google publishes no numeric threshold for scaled content abuse. It sets no minimum word count, no acceptable percentage of AI content and no safe number of pages. Publishers have to judge compliance by asking whether each page adds value, because no figure will settle the question.

How enforcement works

A breach can lead to one of two outcomes, and they differ in how much the site owner is told. The table compares them.

The algorithmic route is harder to diagnose. A site may lose traffic without any message explaining why.

Google's Search Quality Rater Guidelines also address the issue.^† Section 4.6.5 covers scaled content abuse, and section 4.6.6 covers main content created with little to no effort, originality or added value. Rater assessments do not directly influence ranking.

Separate rules for Merchant Center

Google Merchant Center has its own disclosure requirements for AI material. AI-generated images must carry IPTC DigitalSourceType TrainedAlgorithmicMedia metadata.^† AI-generated product titles and descriptions must be specified separately and labelled as AI-generated.

Recent volatility

Industry reporting described spam-related volatility around 24 and 25 March 2026, followed by broader core-update movement around 27 March.^† Some analyses linked the largest losses to repetitive AI pages, scraped rewrites and location templates that lacked original information. Those patterns match the examples in Google's policy closely.

Conclusion

The scaled content abuse policy judges the purpose and value of pages, not how they were produced. AI-assisted publishing is permitted when it adds something original and has been checked for accuracy. Mass output aimed at rankings is not.

Google publishes no thresholds, and algorithmic demotion arrives without notice. The practical test for any page is therefore whether it gives a reader something that other pages do not.

Frequently asked questions