Scaled content abuse is Google's spam policy against publishing many pages whose main purpose is to manipulate rankings rather than help readers. It does not target AI as such. The same pages are a problem whether a tool, a freelancer or a content farm wrote them, and AI articles that add real value are allowed.
The risk comes from volume with nothing behind it. Below you will find Google's exact wording, a yes/no test you can run on any page, examples of what is banned next to what is allowed, and what to do if your traffic drops. If you would rather have every article researched, sourced and reviewed before it goes live, you can start free with a crew that checks every fact and link.
What Google's scaled content policy actually says
Google's spam policies for web search define it in one sentence: many pages "generated for the primary purpose of manipulating search rankings and not helping users." Google announced the policy with its March 2024 core update and spam policies.
Google gives five examples:
- Using generative AI or similar tools to create many pages that add no value for users.
- Scraping feeds, search results or other content to create many pages, including rewriting through synonyms, translation or other automated changes, when users get little value.
- Stitching together content from different pages without adding value.
- Creating several sites to hide how much content is being mass produced.
- Creating many pages that make little or no sense to a reader but contain search keywords.
Two things stand out.
- The test is purpose and value, not the method. Every example ends with some version of "without adding value." Fifty human-written pages that copy each other break the policy. Fifty AI-assisted pages that each answer a real question with checked facts do not.
- There is no published number. The policy gives no limit on pages per month, word count or share of AI text. Anyone who quotes a "safe" number of posts per day is guessing.
Google's guidance on generative AI content adds two practical requests: "manually factcheck and review all AI-generated content for accuracy and trustworthiness before publishing," and consider telling readers how the content was created.
For the wider question of how Google treats AI writing in general, see does Google penalize AI content. This guide covers the narrower job: keeping a publishing workflow on the right side of this one rule.
Is AI-generated content scaled content abuse?
No, not by itself. Google's own guidance says the problem is generating "many pages without adding value for users." The tool is not the issue.
In practice, what breaks the rule is the publishing pattern around the tool:
- One prompt run over a list of keywords, published with nobody reading the result.
- Articles that restate the top results with no new fact, example or opinion.
- Statistics and sources that the model made up and nobody checked.
- Pages created only because a keyword exists, with no reader you could name.
A workflow where each page starts from a real search, is researched against real sources, is fact checked and adds something of its own is what Google calls appropriate use. Volume is not the trigger. Volume without value is.
Banned vs allowed: side by side
The line is easiest to see on real formats. Same idea, two ways of doing it:
| Format | Likely to break the policy | Allowed and useful |
|---|---|---|
| Location pages | 300 city pages built from one template, only the city name changes | One page per area you actually serve, with what differs there: the team that covers it, opening times, local regulations, real jobs done |
| Programmatic pages | Thousands of "best X in Y" pages with no data behind them | Pages generated from your own database, where each page shows information the reader cannot find elsewhere |
| Translation | Your whole blog machine translated into five languages and published as is | Translated pages for markets you serve, reviewed by someone who reads the language, with local examples |
| Blog articles | AI rewrites of the top three Google results for every keyword in a list | An article that answers the search, cites its sources and adds your experience, data or method |
| Glossary or "X vs Y" pages | Hundreds of near identical pages padded around a keyword | A few pages that each settle a real question people ask before buying |
| Multiple sites | The same content spread over several domains to hide its scale | One site that builds topical depth over time |
Programmatic SEO and translation are not banned. They become a problem when the output gives the reader nothing new compared with the source or the next page in the set.
The yes/no test for every page
Run these questions before you publish a page, or on a sample of each batch. They turn the policy wording into checks you can actually do.
- Is there a real search behind this page? You can show the query in Google's autocomplete, in "People also ask" or in Search Console. If you are not sure what people type around your topic, our free keyword generator gives you real search ideas to start from, so each page has a reader before you write it.
- Does the first paragraph answer that search? A reader gets the answer without scrolling.
- Did someone check every fact, number and quote against a source? Every statistic links to where it comes from.
- Does the page add something the current top results lack? A method, a checklist, an example, your own data or a clear verdict.
- Is it different enough from your other pages? If you swapped the keyword with a sibling page, the text would not still work.
- Would you send this page to a customer who asked the question?
- Do the links work and lead somewhere useful? Internal links point to related pages, outbound links to real sources.
- Is the author or the way the content was made clear? Google suggests this, and readers trust it.
How to read the result:
- A "no" on questions 1 to 3: do not publish. These are the gaps the policy describes.
- A "no" on 4 or 5: rewrite or merge with an existing page. This is where most thin AI content fails.
- A "no" on 6 to 8: fix before publishing. These are quality gaps more than policy breaches.
For a batch, read at least a few pages in full, not only the titles. Templates fail on the details.
How to check if your site was hit
A drop in traffic is not proof of a penalty. Rule out the simpler causes in this order.
1. Look for a manual action
Open the Manual actions report in Search Console. Google's help page on the Manual actions report states: "If a site has a manual action, some or all of that site will not be shown in Google search results." If the report is empty, you have no manual action.
2. Compare the drop with Google's update dates
If clicks fell sharply in the same days as a core or spam update, an algorithmic demotion is possible. That kind has no notice and no report. Agency Victorious describes two paths: an algorithmic demotion, which can lift on its own once the site improves, and a manual action, which needs a reconsideration request.
3. Find the pages that drag the site down
In Search Console's Performance report, export pages over the last 3 months. Flag:
- pages with no impressions at all after several weeks;
- groups of pages built from the same template;
- pages that compete for the same query (two or more URLs showing for it).
4. Rule out indexing problems
Sometimes the "drop" is pages that never got indexed. Our free SEO checker looks at robots.txt, sitemap and crawler access, and the guide to blog posts not indexed by Google covers the Search Console side.
How to recover from a scaled content problem
Work through the weak pages flagged above. Each page gets one of four outcomes.
| Page state | Action |
|---|---|
| Useful topic, thin page | Rewrite: answer first, sources, an example of your own, internal links |
| Several pages on the same question | Merge into the strongest one and redirect the others to it (301) |
| No real search, no value | Remove it, or add a noindex tag to keep it out of Search |
| Good page, never indexed | Fix the technical cause, then request indexing |
If you have a manual action, fix every affected page first. Then click "Request Review" in the report. The Manual actions report help page explains how the reconsideration request works: a good request explains the exact quality issue, describes the steps you have taken to fix it and documents the outcome. It adds that "most reconsideration reviews can take several days or weeks," and asks: "Please don't resubmit your request before you get a decision on any outstanding requests."
For an algorithmic demotion there is nothing to submit. Clean up the site and keep publishing pages that pass the test above.
A common mistake is deleting hundreds of pages at once without checking which ones still bring clicks. Export the data first and keep every page that earns impressions.
Publishing AI articles at a steady pace, safely
The sites that stay safe treat AI as a writer that needs an editor, not as a page factory.
- Start from searches, not from a keyword list. Each article targets a query real people type and that your site has no page for yet.
- Research before writing. Read the pages that rank and note what they miss.
- Cite and check. Every number links to its source, and nothing goes live with a made up statistic.
- Publish at a regular rhythm. A steady flow is easier to review than 500 pages dropped in one weekend.
- Link pages together. Internal links show how each article fits a topic, which helps readers and Google.
The same habits help with AI search. ChatGPT, Perplexity and Google's AI Overviews tend to quote short, sourced, direct answers, which is what a page that passes the test above already has. Nothing guarantees a citation, but a thin templated page gives these tools nothing to quote. Our LLM SEO page explains how posts are written with that in mind.
How AI SEO Crew handles this
AI SEO Crew is built around this policy. Scout finds the real Google searches for your site, Writer researches each one on the web and writes with sources, and Editor checks every fact and link and adds internal links before anything is published. Articles go out at a steady pace (up to 50 a month, which you can slow down), and in review mode you approve each one yourself.
Start free and see your SEO plan in a few minutes, no card needed.
Frequently asked questions
What is scaled content abuse according to Google?
It is Google's spam policy against creating many pages mainly to manipulate search rankings rather than to help users. Google's examples include mass AI pages with no added value, scraped or auto translated content, stitched content and keyword pages that make no sense to a reader (Google spam policies).
How many AI articles can I publish without a penalty?
Google publishes no limit on pages, words or AI share. What matters is whether each page answers a real search and adds value. A steady pace you can actually review is safer than a sudden flood of pages.
Is programmatic SEO considered scaled content abuse?
Not automatically. Programmatic pages built on unique data that each give the reader something different are fine. Thousands of template pages where only a keyword or a city name changes match Google's examples of abuse.
Can a site recover from a scaled content penalty?
Yes. Rewrite, merge or remove the weak pages. A manual action then needs a reconsideration request in Search Console, which Google says can take several days or weeks (Manual actions report help page). An algorithmic demotion has no request to file: the site improves as Google reassesses the cleaned up content.