What is scaled content abuse? Examples and how to avoid it

Scaled content abuse, explained

Google announced the policy on March 5, 2024. It builds on the older rule against automatically generated content and rests on the same principle: the primary purpose is manipulating rankings. What changed is the scope. Pages made at scale mainly to rank, with little value for readers, violate it "no matter how it's created", whether automation, people or both did the work.

Google lists five examples. Using generative AI or similar tools to generate many pages without adding value. Scraping feeds, search results or other content into many pages, including by synonymizing or translating. Stitching together content from different pages without adding value. Creating multiple sites to hide the scale. And creating many pages whose content makes little or no sense to a reader but contains search keywords.

Scale alone isn't the violation. Programmatic pages built from real, unique data, and AI-assisted articles that are researched, sourced and reviewed, aren't what the policy targets. But Google's AI guide applies it to newer tactics too: writing separate pages for every query variation or fan-out query to manipulate rankings or AI responses is scaled content abuse too, and more pages don't make a site better.

Affected pages "may rank lower in results or not appear in results at all", through automated systems and, as needed, human review that can end in a manual action. Search Console's "Major spam problems" action names scaled content abuse as an example, and an action can cover part of a site or all of it.

Google's rater guidelines tell raters to give the "Lowest" rating to pages and sites made at scale with no original content or added value, however they were created. Google's instruction for your own site is short: "If you're hosting such content on your site, exclude it from Search."

In our experience the first sign is indexing, not a penalty: batches of near-identical pages stall as "Crawled – currently not indexed". On our own product, Versely, about 2,500 posts in one month left many crawled but not indexed. We call it a throttle; Google doesn't use that word. We now publish about 20 a day, with duplicate and similarity checks first. What has worked for us has three parts: a minimum-quality rule per page type (pages below it get noindexed), checks that stop near-duplicates, and a pace that grows only while the Page indexing report stays healthy.

Why it matters for founders

AI makes it trivial to publish thousands of pages. This policy is why an unchecked content engine can hurt a site more than it helps.

Example

A site generates 5,000 "best X for Y" pages with an LLM, each a reworded version of the same list. That fits Google's first example almost word for word. A site that builds 300 pages from its own benchmark data, each with different results, does not fit it.

Common mistakes

• Assuming human-written pages can't fall under the policy. Google says it applies however pages are created.
• Publishing an entire content plan in one week.
• No duplicate or similarity checks between AI drafts.
• Spreading thin content across several domains to hide the scale. Google lists that as an example.
• Leaving low-value pages indexable instead of excluding them from Search, as Google instructs.