Will Google Penalise AI Content? What the Policy Says

No, Google does not penalise content for being written by a model. Its published position since 8 February 2023 is that "Appropriate use of AI or automation is not against our guidelines", and that using AI "doesn't give content any special gains. It's just content." What Google does act on is scaled content abuse: many pages generated to manipulate rankings rather than help users, and the policy says that applies "no matter how it's created". The trigger is volume plus no value, not the tool. If you are rebuilding an expired domain with a model, that is the line to stay on the right side of, and it is a line about what you publish rather than how you typed it. Quoted from Google's guidance on AI-generated content and its spam policies, both read on 16 September 2026.

What is Google's position on AI-written content?

From the February 2023 post, under the heading "Rewarding high-quality content, however it is produced":

Our focus on the quality of content, rather than how content is produced, is a useful guide that has helped us deliver reliable, high quality results to users for years.

Google puts the argument by analogy in the same post:

For example, about 10 years ago, there were understandable concerns about a rise in mass-produced yet human-generated content. No one would have thought it reasonable for us to declare a ban on all human-generated content in response. Instead, it made more sense to improve our systems to reward quality content, as we did.

Then the limit. The same post says that using automation, AI included, to generate content with the primary purpose of manipulating search rankings violates the spam policies. The FAQ answers put it most directly:

Is AI content against Google Search's guidelines?

Appropriate use of AI or automation is not against our guidelines. This means that it is not used to generate content primarily to manipulate search rankings, which is against our spam policies.

Will AI content rank highly on Search?

Using AI doesn't give content any special gains. It's just content. If it is useful, helpful, original, and satisfies aspects of E-E-A-T, it might do well in Search. If it doesn't, it might not.

Google's closing advice to anyone considering it: "If you see AI as an essential way to help you produce content that is helpful and original, it might be useful to consider. If you see AI as an inexpensive, easy way to game search engine rankings, then no."

What is scaled content abuse?

The policy that actually has teeth here. In full:

Scaled content abuse is when many pages are generated for the primary purpose of manipulating search rankings and not helping users. This abusive practice is typically focused on creating large amounts of unoriginal content that provides little to no value to users, no matter how it's created. Examples of scaled content abuse include, but aren't limited to:

• Using generative AI tools or other 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 like synonymizing, translating, or other obfuscation techniques), where little value is provided to users
• Stitching or combining content from different web pages without adding value
• Creating multiple sites with the intent of hiding the scaled nature of the content
• Creating many pages where the content makes little or no sense to a reader but contains search keywords

Note what every example has in common. "Many pages", and "without adding value". A single genuinely useful page written with a model matches none of them. Two hundred near-identical pages match the first one whether a person or a model produced them.

This policy arrived on 5 March 2024 and replaced an older one about automatically generated content. Google explained the reason for the change in the announcement:

Our new policy is meant to help people focus more clearly on the idea that producing content at scale is abusive if done for the purpose of manipulating search rankings and that this applies whether automation or humans are involved.

The old policy could be argued with by claiming a human had been involved. The current one closes that.

What does this mean for rebuilding an expired domain?

The domain makes no difference to this policy and the model makes no difference either. What matters is the shape of what you publish.

The pattern that fails is the one the policy describes: a few hundred pages generated in a weekend, each targeting a keyword variant, on a domain chosen for its old links. That is volume plus no value plus a name bought for its reputation, which is scaled content abuse and expired domain abuse at the same time. Google's own announcement of the second one is direct about the intent: these domains "are generally not intended for visitors to find them in any other way but through search engines".

The pattern that passes is a real site on a subject the domain already served, where a model helped you write it. Google's advice is to evaluate the result rather than the method, using the "Who, How, and Why" framing on its helpful content page. Google also says there that where automation played a role, disclosure is reasonable: it encourages "adding accurate authorship information" and being clear about how content was produced.

Our practical guide to doing this is rebuilding an expired domain with AI help, which covers reading the old URL inventory and keeping the paths that had links. If your plan is a single page rather than a site, a landing page on an expired domain is the honest version of that.

Does Google detect AI content?

It says it detects spam, not AI. From the same February 2023 FAQ:

We have a variety of systems, including SpamBrain, that analyze patterns and signals to help us identify spam content, however it is produced.

Two things follow. Google has never claimed an AI-detection capability, so any tool promising to tell you what Google thinks of your text is guessing. And the phrase "however it is produced" cuts both ways: human-written thin content is in scope too.

Using the Revised directory for this

If the plan is a model-assisted rebuild, the domain choice is the part that decides whether the content policy or the abuse policy bites first.

1. Open the directory and filter Basics by your subject category. Category is known for 5,395 of the 12,137 live listings, which is the subset where you can match a domain to a topic you can genuinely write about.
2. Read the History era summaries. You want one subject held across years. A model can write about that subject; it cannot make an unrelated history relevant.
3. Check the Quality spam-screen band. 10,318 live listings sit in the low band, 1,819 in the moderate one, and 78 domains are blocked and never listed.
4. Before you register, run the name through the expired domain checker for its status and site history and the backlink checker for who links to it. Then plan pages that answer what those linking pages were about.
5. If AI visibility is the goal rather than Google rankings, the Agent Citability checker measures how deeply a domain is referenced by the sources answer engines lean on. It is published methodology rather than open methodology, ships as versioned releases, and a score can fall between releases when the pages holding the references change.

FAQ

Will Google penalise my site for using AI to write content? Not for using AI. Google says appropriate use of AI or automation is not against its guidelines, and that AI content gets no special treatment in either direction. It will act if you generate many low-value pages to manipulate rankings, whatever produced them.

Does Google rank AI content lower than human content? Google has never said it does. Its stated focus is "the quality of content, rather than how content is produced".

What is scaled content abuse? Generating many pages primarily to manipulate rankings rather than help users. The policy applies "no matter how it's created", so human-written mass content counts.

How many AI-written pages is too many? Google publishes no number and no threshold. The test in the policy text is volume combined with lack of value, judged together. One useful page is not scaled content abuse; hundreds of near-identical ones are.

Do I have to disclose that AI wrote my content? Google does not require a disclosure label. It does encourage accurate authorship information and being clear about how content was produced, particularly where a reader would reasonably expect to know.

Can Google tell if AI wrote my page? Google has never claimed it can. What it claims is spam detection, "however it is produced". Third-party AI detectors are not measuring anything Google publishes.