What is scaled content abuse?
Scaled content abuse is publishing large numbers of pages mainly to rank in search, not to help the people who read them. Google defines it as "when many pages are generated for the primary purpose of manipulating search rankings and not helping users", adding that it "is typically focused on creating large amounts of unoriginal content that provides little to no value to users, no matter how it's created" [1].
A typical example: a site generates 5,000 "best plumber in [city]" pages from one template, swapping only the city name, with no local information, no real businesses checked and nothing a reader could not get from the first page. The number of pages is not the problem. The problem is that each page exists to catch a search, not to answer it.
What are examples of scaled content abuse?
Google's spam policies list these examples of scaled content abuse [1]:
- "Using generative AI tools or other similar tools to generate many pages without adding value for users."
- "Scraping feeds, search results, or other content to generate many pages (including through automated transformations like synonymizing, translating, or other obfuscation techniques), where little value is provided to users."
- "Stitching or combining content from different web pages without adding value."
- "Creating multiple sites with the intent of hiding the scaled nature of the content."
- "Creating many pages where the content makes little or no sense to a reader but contains search keywords."
In May 2026, Google added a newer example aimed at AI search. Its guide to generative AI features says that creating separate content "for every possible variation of how people might search (for example, by focusing on other queries that people have asked, or fan-out queries)" primarily to manipulate rankings or AI responses "violates Google's scaled content abuse spam policy" [5].
Is AI-generated content scaled content abuse?
No. AI-generated content is not scaled content abuse by itself. Google's policy applies "no matter how it's created" [1], which cuts both ways: AI content is not automatically spam, and human-written content is not automatically safe.
Google's guidance on generative AI content says that "using generative AI tools or other similar tools to generate many pages without adding value for users may violate Google's spam policy on scaled content abuse" [3]. The words doing the work are "without adding value". The same guidance tells publishers to "focus on accuracy, quality, and relevance, especially when automatically generating the content" [3].
A common misreading is that the policy is an "AI content penalty". It is not. Hand-written article spinning, scraped pages and low-paid content mills fall under the same policy as AI output if they produce the same result.
Is a glossary like this one scaled content?
A glossary like this one is exactly the kind of content the scaled content abuse policy asks about, and Search Insider is not exempt from the question. This glossary publishes many term pages on SEO and AI search topics at once, written to a shared template and aimed at search terms. Scale and a template are not violations, but they are the shape the policy looks at.
What separates a useful reference page from scaled content abuse is whether each page would still be worth publishing if search engines did not exist. Using Google's own wording as the test [1] [4], the differences are:
| Useful reference page | Scaled content abuse |
|---|---|
| Each page answers a distinct term people actually look up | Pages exist for every keyword variation, with near-identical answers |
| Facts traced to primary sources, with dated history | Content "stitching or combining" other pages "without adding value" [1] |
| Says plainly where no evidence or figure exists | Confident filler that fills a word count |
| Adds something other pages lack: a distinction, a correction, a check | Mainly summarizes "what others have to say without adding much value" [4] |
| Reviewed and corrected when the facts change | Published once and never touched |
| Reader leaves with the answer | "Does your content leave readers feeling like they need to search again" [4] |
Search Insider holds this glossary to the left-hand column: one page per distinct term, primary sources listed on every entry, no invented figures, and a review date on each page. Readers can judge whether it succeeds. If a page in this glossary only restates what is on every other page, it fails the same test this entry describes.
How did Google's scaled content abuse policy start?
Google added scaled content abuse to its spam policies on March 5, 2024, as one of three new policies alongside expired domain abuse and site reputation abuse [2]. The practices it covers are much older: scraper sites and article spinning were common spam tactics long before the policy had its name [6].
Before 2024: scraping and spinning
Wikipedia's spamdexing article describes scraper sites, "created using various programs designed to 'scrape' search-engine results pages or other sources of content and create 'content' for a website", and article spinning, which "involves rewriting existing articles" to avoid duplicate content penalties [6]. Both are now named in Google's examples as scraping and "synonymizing" [1].
2022: the helpful content system
Google announced its helpful content system in 2022 to help people see "original, helpful content written by people, for people" rather than "content made primarily to gain search engine traffic" [7].
March 2024: a named policy, and helpful content joins core ranking
On March 5, 2024, Google's documentation added scaled content abuse as a spam policy [2]. The same month, Google says the helpful content system "became part of our core ranking systems" [7].
May 2026: the policy reaches AI search
On May 15, 2026, Google published guidance on optimizing for its generative AI features, which applies the scaled content abuse policy to content created "primarily to manipulate rankings or generative AI responses in Google Search", including content built around fan-out queries [2] [5].
What is the difference between scaled content abuse and programmatic SEO?
Programmatic SEO is a method, while scaled content abuse is a misuse of it. Programmatic SEO generates many pages from structured data, such as one page per city, product or route. It is scaled content abuse when the pages are made "for the primary purpose of manipulating search rankings and not helping users" [1].
A travel site with a page for every flight route, each showing real schedules, prices and airport details, is using programmatic SEO to give each searcher something specific. The same template with only the city names swapped and no real data behind it matches Google's examples of scaled content abuse [1].
How does Google detect and enforce scaled content abuse?
Google enforces scaled content abuse through automated systems and, as needed, human review that can result in a manual action [1]. Sites that violate its spam policies "may rank lower in results or not appear in results at all" [1]. Google names SpamBrain as one of its spam detection systems [7], and says recovery after a spam update can take months while its systems learn that a site now complies [8].
Google has not published thresholds: there is no page count, publishing rate or similarity score that marks the line. Claims that a fixed number of pages per day triggers the policy have no published basis.
How do you avoid scaled content abuse?
To avoid scaled content abuse, make sure every page you publish has a reason to exist beyond catching a search. Google's helpful content guidance offers warning questions worth asking of any large publishing plan [4]:
- "Are you producing lots of content on many different topics in hopes that some of it might perform well in search results?"
- "Are you using extensive automation to produce content on many topics?"
- "Are you mainly summarizing what others have to say without adding much value?"
Then apply three practical checks. Merge pages that answer the same question in different words. Remove or improve pages that add nothing a reader could not find on the page that already ranks. And do not write separate pages for every phrasing of a query, since Google says there's "no requirement to break your content into tiny pieces" for AI to understand it [5].