Scaled content abuse: what it means for affiliate sites

Scaled content abuse is Google’s name for making many pages mainly to rank, not to help readers. Google added it to its spam policies on 5 March 2024, together with expired domain abuse and site reputation abuse. For affiliate teams this matters more than for anyone: the classic way to scale offer traffic, many similar sites with many similar pages, is exactly what the policy describes. Scale itself is not banned. Pages that add nothing are.

What the policy says

Google’s spam policies define scaled content abuse as “when many pages are generated for the primary purpose of manipulating search rankings and not helping users”. The examples on the page, read on 4 November 2026:

• using generative AI or similar tools to create many pages that add no value for users;
• scraping feeds or search results to make many pages, including by swapping synonyms or translating;
• stitching content from different pages together without adding value;
• creating multiple sites to hide how scaled the content is;
• creating many pages that make little sense to readers but contain search keywords.

The March 2024 announcement put it plainly: the policy is about the purpose and the value of the pages, however they are made, by people, by automation or both.

The neighbours of the policy

Three other policies on the same page catch affiliate networks:

• Expired domain abuse. Buying an expired domain and reusing it mainly to rank low-value content on its old reputation.
• Doorway abuse. Sites or pages made to rank for similar searches that lead the visitor to an intermediate page instead of something useful.
• Thin affiliation. Pages with affiliate links where the descriptions and reviews are copied from the merchant without anything added.

Cloaking, showing search engines different content than people, is its own violation.

What a farm looks like from outside

You do not need to read anyone’s code to see a farm. The signs are on the page:

• the same template, fonts and blocks on every site;
• the same articles on several domains, lightly reworded;
• several sites ranking for the same search and pointing at the same offer;
• articles that repeat the top 10 with nothing new;
• authors who do not exist;
• different content for bots and for people.

Each of these is cheap at scale, and each tells a reviewer, or an algorithm, that the network is one operation built to rank.

How to scale without looking like a farm

The answer is to make each part of the scale defensible on its own:

1. Different sites. Each site with its own layout, type, palette and shape, built for its own audience and language.
2. One search, one article. Assign each group of searches to one article across the whole portfolio. See keyword cannibalization across several sites.
3. New value before publishing. Check each article against the current top 10 for what it adds, and do not publish one that only rephrases it.
4. No copied merchant text. Say what the offer’s landing does not: comparisons, trade-offs, who it is not for.
5. Real authors or an honest editorial line. Never invented people.
6. One page for everyone. No cloaking, and offer links marked as paid. See rel=“sponsored” for affiliate links.

How Grove applies it

In DarkCore Grove these rules are part of the workflow rather than a checklist. Each site gets its own design, and Grove warns when two sites of the portfolio look too alike. A keyword cluster belongs to one article in the whole portfolio. Every article passes seven Gates before it can go out, and four of them block publishing: claims, new value against the top 10, cannibalization and similarity. Articles are signed by real authors or the Editorial team, offer links carry rel="sponsored", and bots see the same page as people.