Google's AI Content Policy: What Is Actually Banned

Two beliefs are common and both are wrong. The first is that Google penalises AI-written content. The second is that Google does not care how content is produced. The actual policy is narrower than the first and stricter than the second.

Google’s position, published on Search Central, is that appropriate use of AI is not against its guidelines, and that using automation to generate content primarily to manipulate rankings is a spam policy violation. The relevant page is Google Search’s guidance on generative AI content, and it is short enough to read in full before forming an opinion about it.

The Policy Is About Purpose And Scale, Not Authorship

The named violation is scaled content abuse: generating many pages whose primary purpose is manipulating search rankings rather than helping people. The words doing the work are “many”, “primary purpose”, and “manipulating”.

A human typing 500 templated location pages triggers it. One AI-assisted article that reflects real expertise and gets edited by someone who knows the subject does not. The production method is not the test.

This distinction has held consistently since 2023, which is unusual for search policy, and it is why “will Google penalise this?” is almost always the wrong question. The right question is whether the page would be worth publishing if a person had typed every word.

What Changed In 2026

Google updated its spam policies to clarify that they apply to generative surfaces as well. Tactics aimed at getting a site or brand featured in AI Overviews or AI Mode are treated the same as tactics aimed at ordinary results.

Quality rater guidelines also now include assessment of whether content appears machine-generated, in the context of judging whether it demonstrates real effort and originality. Raters do not directly move rankings, but their guidelines are the clearest public statement of what the systems are trying to approximate.

The practical effect is that “AI detection” as a ranking mechanism remains unsupported, while “this page shows no evidence anyone knew anything” remains a strong negative signal that AI-assisted publishing happens to produce at scale.

The Failure Mode Is Emptiness, Not Robotics

Pages that get flattened share a texture: complete sentences, correct grammar, plausible structure, and no information that could only have come from someone who had done the thing.

Before:

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After:

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The second version can be wrong, which is the point. It commits to numbers, and a reader can check them. The first cannot be wrong because it says nothing, and that is precisely the property Google’s guidance is trying to describe.

We cover the surface-level version of this in small tells that make writing look AI generated, but the tells are a symptom. The disease is having nothing to say.

Where The Line Sits For Ordinary Teams

Safe: drafting with AI and editing with expertise. Rewriting your own material for tone or length. Generating outlines. Translating your documentation. Producing variants of copy you wrote.

Risky: publishing AI drafts with only a proofread. Generating one page per keyword from a template. Summarising other people’s articles into a “roundup” with nothing added.

Clearly over the line: programmatic generation of thousands of pages against a keyword list. Republishing scraped content with a paraphrase pass. Using someone else’s domain authority to host your generated content, which Google names separately as site reputation abuse.

The middle category is where most teams actually live, and it is worth being honest about which side of it you are on. There is a longer treatment in scaled content: where the line is.

A Context For The Editing Pass That Matters

The edit that moves a draft from risky to safe is adding what only you know, not smoothing the prose. But smoothing helps once the substance is in.

A Wrivio Context for this could say:

Rewrite this to remove hedging and filler. Delete sentences that state that something is important, varies, or depends on your needs without saying how. Convert vague comparators into the specific figures given in the original. Keep every number, product name, date, and source exactly as written. Do not add examples, statistics, or claims that are not in the original.

Press Ctrl+Shift+Space, paste a section, and look at what the diff deleted. If it deleted 40% of the paragraph and the paragraph still says everything it said before, that paragraph was the problem the policy is about.

What To Do If You Have Already Published A Lot Of It

Do not mass-delete on reflex. Audit first: which of those pages get impressions, which get engagement, and which have never been touched by a human who knew the subject. Then improve the ones with demand and remove the ones without. Content pruning is a defined process rather than a purge, and doing it badly costs more than the pages did.

Common Questions

Will Google penalise content written with AI?

Not for being AI-written. Google’s guidance states that appropriate use of AI is allowed and that the violation is using automation to produce content primarily to manipulate rankings, which it calls scaled content abuse.

Do I need to disclose that AI helped write a page?

Google does not require it for Search. Disclosure is a trust and, in some sectors, a regulatory question rather than a ranking one.

Can Google detect AI writing?

There is no evidence of a reliable AI-detection ranking signal, and consumer detectors are unreliable enough that acting on them is risky. What the systems appear to detect well is absence of original information.

Does the policy apply to AI Overviews and AI Mode?

Yes. Google clarified in 2026 that its spam policies cover generative Search features, so manipulation aimed at those surfaces is treated the same way.

Download Wrivio for Windows to run the filler-removal pass over a draft locally, so unpublished work never leaves your machine.