What is scaled content abuse?

If your store publishes pages in bulk (one per city, one per color and size combination, hundreds of descriptions written in one go by a model), this is the Google policy to read before you hit "publish." It does not punish a big catalog: a catalog with thousands of products has thousands of legitimate product pages. It punishes manufacturing pages to rank, not to answer anyone. Google's name for it is scaled content abuse, and that is the name you will see in audits and in Google's own documentation.

What it prohibits, exactly

Google defines scaled content abuse as generating many pages with the primary purpose of manipulating Search rankings rather than helping users. It gives five examples:⁠^{[1]Google Search Central. Spam policies for Google web search}

• Using generative AI tools, or 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 such as swapping in synonyms, translating or other ways of disguising it, when they add little value.
• Stitching or combining content from different web pages without adding value.
• Creating multiple sites to hide the fact that the content is made at scale.
• Creating many pages whose content makes little or no sense to a reader but contains search keywords.

The word that decides everything is purpose. None of the five examples bans a technique: each one pairs a quantity ("many pages") with a lack of value for the reader.

The policy has had this name since March 5, 2024. Before that, Google went after the use of automation to generate low-quality or unoriginal content at scale; since that day, the focus is producing content at scale to boost rankings, whether automation, humans or a combination of the two are involved.⁠^{[2]Google, The Keyword blog (Elizabeth Tucker, March 5, 2024). New ways we're tackling spammy, low-quality content on Search} With this and other measures announced at the same time, Google expected to reduce low-quality, unoriginal content in its results by 40%; it later added to the announcement that, as of April 19, 2024, the reduction was 45%.⁠^{[2]Google, The Keyword blog (Elizabeth Tucker, March 5, 2024). New ways we're tackling spammy, low-quality content on Search}

Where AI fits

Google does not ban generative AI: it says it can be especially useful for researching a topic and for adding structure to original content. What it warns is that using it to generate many pages without adding value for users may break this policy.⁠^{[3]Google Search Central. Google Search's guidance on using generative AI content on your website} The same guidance asks you to check the accuracy of everything generated by hand before publishing, because models can make up facts (known as AI hallucination), and it extends that review to metadata: the <title> element, the meta description, the structured data and the alt text of images.⁠^{[3]Google Search Central. Google Search's guidance on using generative AI content on your website}

For stores, the guidance points to the Google Merchant Center policies on AI-generated content: generated images must carry the IPTC DigitalSourceType metadata with the value TrainedAlgorithmicMedia, and generated product data, such as the title and description, must be submitted separately and marked as AI-generated.⁠^{[3]Google Search Central. Google Search's guidance on using generative AI content on your website}

Where AI search fits

Google's guide to its AI search features applies the policy to a new temptation. Creating separate content for every possible variant of a search, for example for the related queries the model launches with query fan-out, breaks this policy if it is done mainly to manipulate rankings or generative AI answers in Search. It adds that it does not work in the long run either, because having many pages does not make a site higher quality or more relevant.⁠^{[4]Google Search Central. Optimizing your website for generative AI features on Google Search}

How it is detected and what happens

Google detects violations with automated systems and, when needed, with human review, which can end in a manual action. A site that breaks its spam policies can rank lower in the results or not appear in them at all.⁠^{[1]Google Search Central. Spam policies for Google web search}

The manual action is the visible part. Google applies one when a human reviewer decides that some pages on the site do not comply with its spam policies, notifies you in the manual actions report in Search Console and in its message center, and it can affect part of the site or all of it.⁠^{[5]Search Console Help. Manual actions report} Scaled content abuse is named explicitly under the action for pure spam, alongside cloaking; thin affiliate pages, scraped content and doorway pages have their own action, the one for thin content with little or no added value.⁠^{[5]Search Console Help. Manual actions report} Because detection is also automatic, an empty report does not prove everything is fine.⁠^{[1]Google Search Central. Spam policies for Google web search} To ask for a review, Google wants the request to explain the exact problem, the steps you took to fix it and the result.⁠^{[5]Search Console Help. Manual actions report}

In a store

Fictional example. A shoe store with a few hundred models weighs five ways to get more pages. The table crosses them with the policy's examples. Matching an example is not an automatic conviction, because what decides is purpose, and only the store knows that.

The last four rows have something in common: the page exists for the query, not for the customer. The way out is not to stop growing but to make every new page carry something the one next to it does not: a product fact, a measurement, a photo, an answer the store knows and the rest do not.

How to check

1. Open the manual actions report in Search Console. If there is one, the description says which pattern of pages it affects, whether part of the site or all of it.⁠^{[5]Search Console Help. Manual actions report}
2. List the pages that come from a template (by city, by filter, by question) and write down, for each type, what each page carries that the one next to it does not. If the answer is "the keyword," you are in Google's last example.⁠^{[1]Google Search Central. Spam policies for Google web search}
3. Read a sample of what AI generated before publishing it, metadata included: the title, the meta description, the structured data and the alt text.⁠^{[3]Google Search Central. Google Search's guidance on using generative AI content on your website}
4. If you use supplier descriptions, compare one with the same listing on another store. If only a few synonyms differ, the page adds little.⁠^{[1]Google Search Central. Spam policies for Google web search}
5. If you send your catalog to Merchant Center, check that titles and descriptions generated with AI are submitted separately and marked as such.⁠^{[3]Google Search Central. Google Search's guidance on using generative AI content on your website}

Related concept: duplicate content

Duplicate content gets confused with this policy because both involve many similar pages. Duplicate content is the same content on several URLs: each region's version, the mobile and desktop versions, the http and https versions, or the ones generated by a category's filters and sorting. Google says that some duplicate content on a site is normal and does not violate its spam policies, and it resolves it by choosing a representative address, the canonical URL.⁠^{[6]Google Search Central. What is URL canonicalization} Scaled content abuse, by contrast, is many pages manufactured with the purpose of ranking.⁠^{[1]Google Search Central. Spam policies for Google web search} The first gets sorted out with a tag; the second is fixed with what each page carries.

To go further, the catalog enrichment entry explains how to give each listing the data that sets it apart, and the AI search reading path puts the rest of the terms in order.