Thin Content
Pages with little or no original value to users — for example, auto-generated text, scraped content, or copied affiliate descriptions.
Definition
Thin content refers to pages that offer minimal substantive value to a visitor, typically because their content is scraped, auto-generated at scale, copied from other sources without addition, or otherwise produced primarily to manipulate search rankings.
Google's spam policies group several related patterns under broader categories such as 'scaled content abuse' and 'thin affiliation'. Scaled content abuse covers pages 'generated for the primary purpose of manipulating search rankings and not helping users', including bulk AI-generated pages, scraped republished material, and large networks of low-value pages. Thin affiliation specifically describes affiliate pages that copy merchant descriptions verbatim without adding original review, testing, or comparison. Pages that fall into these patterns can be subject to actions affecting their appearance in Google Search.
Examples
Templated location pages
A national plumbing site publishes hundreds of near-identical city pages that only swap the suburb name in a single sentence, with no local detail, photos, or pricing — a pattern Google describes as scaled content abuse.
Affiliate pages
A product round-up site lists 30 kitchen appliances using each manufacturer's stock description and image, without first-hand testing, photography, or comparison — the configuration Google flags as thin affiliation.
Sources
Related terms
- Helpful ContentGoogle's term for content created primarily to benefit people, demonstrating originality, expertise, and a clear understanding of the intended audience.
- Duplicate ContentSubstantively identical or very similar content that appears at more than one URL, either within a single site or across different sites.
- Manual ActionA penalty applied by a Google reviewer when a site is found to violate the search spam policies, demoting or removing affected pages from results.
- E-E-A-TGoogle's framework for assessing content quality across four lenses: Experience, Expertise, Authoritativeness and Trust.
Where QueryCatch uses this
Last updated: 12/05/2026