Thin content: definition and risks

Thin content is a page that gives a visitor nothing they could not get faster elsewhere. Common forms:

• Hundreds of near-identical pages that swap one keyword (a city name, a product variant).
• Articles generated in bulk with no original facts, data or experience.
• Pages that summarise other sites without adding anything.

The test is value, not format. A short page that states a price clearly is not thin. A 3,000-word page that says nothing is. If you use generators to produce pages, our guide to AI SEO content generators covers where that goes wrong.

Search engines decide which pages to keep in their index. Thin pages become a risk when there are many of them. 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 first example given is using generative AI tools "to generate many pages without adding value for users."

Google's guidance on AI content is equally clear that the tool is not the issue: "Appropriate use of AI or automation is not against our guidelines." The violation is volume without value.

Enforcement can be silent. In OtterlyAI's 2026 experiment, two new domains each published roughly 1,000 AI-generated posts. Google removed one after about 14 days and the other after about 90. Otterly reports zero manual actions in Search Console on either site, so nothing warned the owners.

Google states that a page must be "indexed and eligible to be shown in Google Search with a snippet" to appear as a supporting link in AI Overviews or AI Mode. Deindexing removes that eligibility. In Otterly's test, Google's AI surfaces almost never cited the sites once Google dropped them.

Other engines use other indexes. Bing never deindexed either site, and Microsoft Copilot, which grounds on Bing, kept citing them. That does not make thin content a strategy: Google is still the largest channel, and a capybara topic with little competition says little about commercial categories.

What to do:

1. Audit for pages that exist only to target a keyword variant. Merge, improve or remove them.
2. Check index status in Google Search Console and Bing Webmaster Tools separately. One being healthy says nothing about the other.
3. Put specific facts (prices, numbers, one-line definitions) on pages engines can fetch. Those are sentences an engine can quote.

Rewriting thin pages purely to suit AI is a different tactic with weak evidence, as covered in whether rewriting content for AI can hurt visibility.

"Thin means short"

Google's AI optimization guide says there is no ideal page length. Length is not the measure.

"AI-written content is thin by definition"

Google says appropriate use of AI is fine. The problem is many pages with no added value, however they were made.

"An expert author box protects it"

In Otterly's test, the site with a fictional wildlife biologist author box was removed first, after about 14 days. One site per arm cannot prove author boxes hurt, but it is no evidence they help. Google also says E-E-A-T isn't a specific ranking factor.

"Better access will rescue thin pages"

Access fixes remove blocks; they do not add value. Our comparison of content rewrites vs access fixes explains what each can and cannot do.

• Cloaking: showing crawlers different content from users. Illegitimate, and sometimes used to dress up thin pages.
• Hidden text: content visible to machines but not people. Another illegitimate shortcut.
• Client-side rendering: a page can look full to users but appear empty to AI crawlers that don't run JavaScript. That is an access problem, not thin content, though the crawler sees similar emptiness.