Does Google penalise AI content? What the policy actually says

Google's position has two halves, and a summary that drops either one is wrong. In February 2023 it said it rewards high-quality content however it's produced, and it said that using AI primarily to manipulate search rankings violates its spam policies. The tool isn't the offence. The purpose is.

What do Google's spam policies say about AI-generated pages?

Google's spam policies define scaled content abuse as many pages generated for the primary purpose of manipulating search rankings rather than helping users, and name generative AI pages with no added value as an example. The test is purpose and value. It doesn't depend on whether a tool was used, or on how many pages exist. The glossary entry on scaled content abuse gives the short version.

Google's guide to generative AI features adds that the same policy covers attempts to manipulate generative AI responses in Search. Mass-producing pages to game an AI answer lands in the same place as mass-producing pages to game a ranking.

What gets hit?

Pages that exist for search engines rather than readers, at a scale where nobody could have checked them. Reading the definition plainly, these are the patterns it describes.

• Hundreds of near-identical pages with a city, product or keyword swapped in and nothing else different
• Pages generated to answer every keyword variant, none adding a fact the others lack
• Reworded copies of other sites' pages, produced in bulk
• Machine-translated pages published unreviewed in a second language to double the page count
• Third-party content hosted on a strong site mainly to borrow its ranking strength, which Google's site reputation policy addresses separately

Notice what the definition doesn't turn on: whether the author was a person or a model. It turns on purpose and value, so a single well-edited page drafted with AI help sits outside the pattern it describes.

How would you know if your pages have been hit?

Check the Manual actions report in Google Search Console first, because that is where Google tells you about a manual action against your site. If it's empty, a drop in traffic still has many possible causes, so look at which pages fell, when, and whether they share a pattern before blaming the tool that wrote them.

A group of near-identical pages that all fell together is a different finding from one page that slipped. Don't delete everything in a panic: improve or merge the pages that fit the patterns above, and keep the ones that answer a question nothing else on your site does.

Is AI-written content a risk for a UAE business?

Yes, but the bigger risk is publishing a wrong claim, not a Google penalty. A model with no source for a price, a licence rule, a delivery date or a medical statement can write one that sounds right, and once it's on your site it's your published claim, whoever or whatever drafted it. The glossary entry on hallucination explains why fluent and true aren't the same thing.

UAE rules on misleading content apply to what you publish. As of November 2026, Clyde & Co reports that Cabinet Decision No. 42 of 2025, in force from 29 May 2025, sets fines of AED 10,000 to AED 100,000 for publishing immoral, misleading or fake content.

Separately, the UAE government portal says suppliers who advertise misleading prices and false data on goods and services face imprisonment of up to two years and a fine not exceeding AED 2 million. This isn't legal advice, and whether a given page falls under either rule is a question for a lawyer or the authority.

Arabic needs particular care. A model's Arabic reads smoothly, which is why a wrong register or dialect slips past anyone who doesn't read Arabic well. The failure modes are set out in Arabic AI: what breaks.

How do we use AI on this site?

We use AI in our own workflows and say so, and that includes this blog: AI helps draft and check these posts. The rule for guides written this way is that a figure either carries a named source, listed at the bottom of the page, or is labelled as an example, and a sentence that can't meet that rule gets cut.

In a post like this one, outside facts are credited at the bottom, so open the source and compare. A mismatch is worth telling us about. The workflow we describe to clients, with a human editor who can reject anything, is in an AI content workflow without slop.

What tests should your own pages pass?

Five checks catch most of the trouble, and none needs a detection tool.

1. 01The swap test. Replace your business name and city with a competitor's. If the page still reads true, it says nothing that's yours.
2. 02The source test. For every number, name or rule on the page, can you point to where it came from? If you can't, find the source or cut the claim.
3. 03The owner test. Is there a named person at your company who can answer for the page if a customer or a regulator asks?
4. 04The expert test. Would the person who does this work sign off the page? A model can draft how your fit-out process runs, but the project manager has to confirm the steps are real.
5. 05The volume test. Publish no more pages in a week than a knowledgeable person can properly check in that week.

Don't add a 'reviewed by an expert' line unless the review happened. Google says E-E-A-T itself isn't a specific ranking factor, so a badge isn't a lever you can pull, although it does call trust the most important of its aspects. A real review is how a page earns that.

Where does AI belong in your content process?

Use it for first drafts and for checking, and keep a person on anything a customer or a regulator could hold you to.

If you're comparing content providers, including our content marketing team, ask each where it draws the line between model and person. The table above is a fair starting answer. Then pick your ten most-visited pages and run the swap test on each this week. If you can't tell yours from a competitor's, that's a quality problem long before it's a penalty problem.