Google does not penalise content for being written by AI. It penalises unhelpful content published at scale. The two get confused because AI makes it easy to produce a great deal of unhelpful content quickly, but the tool is not what triggers the action.
This matters practically, because a lot of businesses have either avoided AI writing entirely out of fear, or used it badly and been hurt, and both outcomes came from the same misunderstanding.
What Google actually acts on
The relevant policy is scaled content abuse: producing many pages primarily to manipulate rankings rather than to help anyone. The policy names the intent and the outcome, not the method. Hand-written spam has always been covered by it too.
The March 2024 core update and the spam policies published alongside it made this explicit. Sites that lost visibility were, overwhelmingly, publishing large volumes of near-identical pages with nothing on them a reader could not get elsewhere.
A useful test: if you deleted the page, would anyone notice? If the honest answer is no, it should not have been published, whatever wrote it.
Where AI is safe, and where it is not
| Task | Verdict | Why |
|---|---|---|
| First draft from your outline | Safe | You supplied the structure and the substance. The model supplied prose. |
| Rewriting for clarity | Safe | Editing work. No new claims are introduced. |
| Summarising your own research | Safe | The value is your research; the model compresses it. |
| Meta descriptions and headings | Safe | Mechanical work at scale with a human check. |
| Translation with native review | Safe | The review is the load-bearing part. |
| Whole articles from a keyword | Unsafe | The model has no access to anything only you know. The output is a synthesis of other pages. |
| Hundreds of location pages from a template | Unsafe | This is the textbook scaled-content case, and it is what gets sites hit. |
| Fabricated statistics or cases | Unsafe | Wrong before it is a ranking problem. |
The rule we work to
Every page has to contain at least one thing the model could not have produced. In practice that is one of four things.
- Your own data. Numbers from accounts you run, results you measured, prices you actually charge. This is the strongest kind, and the rarest online.
- Your judgement. A view on what to do, argued, including what you would not do. Models hedge; a real practitioner commits.
- Your cases. What happened when you tried it, including the parts that failed. Specifics defeat generic prose every time.
- Your constraints. Who this is not for, when it does not work, what it costs. Nobody writes this from a keyword brief.
A page containing none of those four is, by definition, a rearrangement of material already on the web. That is the page not worth publishing, and it is also the page that never gets cited in an AI answer.
A process that holds up
- Decide the page has a reason to exist. Not because a keyword tool showed volume. Because a real person asks the question and the existing answers are poor.
- Supply the substance yourself. Outline, data, examples, position. Twenty minutes of thinking before any generation.
- Let the model draft. This is the part it is good at, and it is a genuine time saving.
- Edit hard. Cut the hedging, add the numbers, remove anything you cannot stand behind. Expect to change a third of it.
- Name an author. A real person, with a bio, accountable for the claims. This helps with readers, with Google, and with assistants deciding whether to quote you.
Why this matters more for AI search
Assistants quote specific claims. Generic AI prose contains no specific claims, which is why so much of it ranks moderately and gets cited never. The discipline that keeps you safe with Google is the same discipline that gets you quoted, which is a convenient place for the incentives to land.
Questions we get asked
Does Google penalise AI-generated content?
No. Google has stated repeatedly that it rewards helpful content regardless of how it was produced. What it acts on is scaled content abuse: publishing at volume with no value to the reader, which AI makes easy but does not require.
Can Google detect AI writing?
Detection is unreliable and Google does not claim to rely on it. It measures behaviour and quality signals instead, which is a more robust proxy and harder to game.
How much AI is too much?
The wrong question. A page written entirely by AI and then genuinely improved by an expert can be excellent. A page written entirely by a human can be worthless. Ask what the page offers that nothing else does.
Should I disclose that content is AI-assisted?
Google does not require it. Disclose where the reader would reasonably want to know, such as medical, legal or financial material.
Is AI content safe for a local business site?
Yes, with the same caveat: it must contain things only you know. Your prices, your service area, your actual process, your real cases. AI can shape all of that; it cannot supply it.
What about AI content and AI search?
The same logic applies more sharply. Assistants quote specific claims. Generic AI prose contains none, so it is rarely cited even when it ranks.
