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Does Google penalise content written by AI?

August 15, 20268 min readby Tevorian

We get this question in nearly every conversation, and it is a fair one. We sell a program that produces text. If Google punished such text, our product would be worthless. So here is the honest answer, including the part that does not suit us.

The short answer

No. Google does not penalise text for having been written by an AI. Google penalises content with no value that was mass-produced for search engines. That is a meaningful difference, and it decides whether your website grows or collapses.

Hold on to this distinction: the tool is not the problem, the intent is. A hand-written text with no value is just as worthless as a machine-written one. And a machine-written text with real research can beat what most business owners type at eleven at night.

What Google actually says

Google has stated its position publicly several times. The core of it: content is judged on quality, not on how it was produced. What gets penalised is content made primarily to rank rather than to help people.

Google targets three specific patterns:

  • Scaled content abuse. Hundreds of pages saying the same thing in different words.
  • Site reputation abuse. An established website suddenly publishing on topics it has nothing to do with.
  • Rewritten content. Summaries of other people's pages with no contribution of your own.

All three are faster to produce with AI than by hand. That is why they coincide. But they are caused by the intent, not by the tool.

Why websites collapsed anyway

Since 2024 a great many websites that were performing well have lost most of their visibility. Almost all of them had done the same thing: published a large number of pages in a short time, none containing anything that did not already exist.

The typical sequence: a tool turns a list of a hundred keywords into a hundred articles. Each one is grammatically perfect, nicely structured and completely interchangeable. Four months later the whole domain drops, including the older pages that were good.

That is the part tool vendors rarely mention: the damage does not stay with the weak pages. It hits the entire site.

Related Buying backlinks: why it can wreck your websiteWhat actually happens, and what works instead.

How to tell the difference

Ask four questions of any text. You need no software for this.

QuestionBad signGood sign
Is there a number you can verify?"depending on scope""$1,500 to $3,000 a month"
Does it ever advise against something?everything is always worthwhile"for a bakery this is not worth it"
Is there a concrete example?"depending on the industry""a joiner with a $4,000 average job"
Do you learn anything new?only confirms what you knewa figure, a method, a limit

If a text answers all four with the bad sign, it is worthless, regardless of who wrote it.

How to check an AI text before publishing

  1. Verify every number. Language models invent figures that sound plausible. Prices, deadlines, legal requirements: check them yourself. A wrong deadline on your website is your problem, not the tool's.
  2. Open every source. If a text cites a study, click it. Invented citations are the single most common failure.
  3. Be able to name the value. Say in one sentence what this text does better than the ten that already exist. If nothing comes to mind, do not publish it.
Related Does my business website really need a blog?Why it is not about news, it is about answers.

We built exactly those three checks into Tevorian, because we know they get skipped in daily practice. A topic must fit your business or no text is written. There must be verifiable sources or the topic is shelved. And the added value must be stated before the first sentence.

Then there is volume: two to eight articles a month, not a hundred in a week. Publishing fifty pages in seven days looks like a text factory to Google even if the text were good. Why consistency beats speed is covered in our guide on timing.

Conclusion

The question is not whether a machine helped write it. The question is whether something useful to a human ended up on the page, and whether somebody stands behind it.

If you are unsure whether a provider takes this seriously, ask one question: "what happens when your system finds no usable sources for a topic?" If the answer is "it writes anyway", you know enough. More warning signs in our guide on bought links.

This page is itself the example

Tevorian picked this topic from real search data, checked it against what we sell, researched it and published it. That is exactly what it does on your website. We check whether your site is suitable, free of charge.

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