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Does AI content hurt your Google rankings?

You have been told two contradictory things. One camp says AI content gets your site penalised. The other says it is free traffic and you would be mad not to publish 200 posts a month. Both are wrong, and the actual answer has been sitting in Google's own documentation since 2023.

What Google actually says about AI content

Google published its position in February 2023 and has not moved from it. The guidance is that its focus is on the quality of content, rather than how content is produced.

The important clause comes next. Using automation, including AI, to generate content primarily to manipulate search rankings is a violation of Google's spam policies. So the method is not the problem. The intent and the output are.

Read that carefully, because it settles the question. AI content does not hurt your Google rankings because it was written with AI. Low quality content hurts your rankings, and AI happens to make low quality content extremely cheap to produce at scale. Those are different problems and people keep conflating them.

Worth knowing: there is no detector sitting in Google's index flagging AI text and docking points. There cannot be a reliable one. What there is instead is a set of quality systems that have got much better at spotting content with nothing original in it.

What actually gets AI content demoted

In March 2024 Google updated its spam policies and introduced a category called scaled content abuse, replacing the older wording about automatically generated content. It covers producing large numbers of pages primarily to game search rankings, whether a human, a machine, or both did the work.

The same update folded the helpful content system into the core ranking algorithm. Assessing whether content is useful to people stopped being a separate periodic check and became part of how pages are ranked all the time.

In practice, the content that gets hit shares a few traits. It restates what is already on the first page without adding anything. It has no first hand experience in it. It covers a topic the site has no business covering. It exists to hold keywords rather than to answer a question.

I have seen sites publish 40 AI posts in a month and lose traffic on the ones they already had, because the new pages diluted the site and gave Google reason to reassess the whole thing.

Why experience is the part AI cannot fake

Google's Search Quality Rater Guidelines use the shorthand E-E-A-T: Experience, Expertise, Authoritativeness and Trustworthiness. The first E was added in December 2022, and it is the one that matters most here.

Experience means evidence that the author has actually done the thing. A model can write a competent 1,200 words about replacing a consumer unit. It cannot tell you about the 1960s wiring you keep finding in a particular estate in your town, what it costs to put right, and why the first quote a homeowner gets is usually wrong.

The useful question is not whether AI content hurts your Google rankings. It is whether your content contains anything only you could have written.

That is the material AI cannot generate and your competitors cannot copy. It is also the material that turns a reader into an enquiry, which is the point of the exercise.

Want help getting this right?

I use AI daily in my own content work and I am happy to show you where it helps and where it costs you rankings. Send me your site and I will tell you which of your pages are pulling their weight.

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How to use AI without damaging your site

I use AI daily in my own content work, and I am not going to pretend otherwise. What matters is where in the process it sits.

It is genuinely good at research summaries, outlines, first drafts, rewriting a clumsy paragraph, generating meta descriptions, and turning a long post into five social captions. It is bad at knowing what is true, at your specific pricing, at your local market, and at sounding like a person rather than a brochure.

A process that works:

  1. Decide the topic from real customer questions, not from a keyword tool alone
  2. Give the AI your own facts, prices, examples and opinions as input
  3. Use it for structure and first draft, never for final copy
  4. Check every statistic yourself against the original source
  5. Rewrite the opening and closing entirely in your own words
  6. Add something the reader cannot get anywhere else

If you cannot add that last item, the post probably should not exist.

Publishing volume is where most people go wrong

The temptation with AI is obvious. Content that used to cost £300 and take a week now takes twenty minutes, so why not publish daily?

Because a site with 15 genuinely useful pages outranks a site with 300 thin ones, and it does so consistently. Every page you publish is a claim about your site's quality. Publish 200 pages of filler and you have made 200 weak claims.

For a small business, one properly researched post a month that answers a real customer question will do more than four AI drafts a week. It is also far less work to maintain, and content needs maintaining. Prices change, regulations change, and stale pages drag on trust.

Quality over quantity is a tired phrase, so here is the practical version: publish nothing you would be embarrassed to send directly to a customer who asked you that question.

Should you tell readers you used AI?

Google does not require a disclosure and does not rank you differently for adding one. There is no penalty either way, so treat it as a brand decision rather than an SEO one.

My own view is that it matters less than people think, because readers judge the output. Nobody asks which word processor you used. What they notice is whether the article answered their question or wasted ten minutes.

Where it does matter is authorship. If a page carries a byline, the person named should have read it, agreed with it, and be able to defend every claim in it. Publishing under your own name something you have not checked is how businesses end up with wrong prices, outdated regulations and American advice on a UK website.

Keep one person responsible for signing off every page before it goes live. That single habit prevents most of the problems AI content gets blamed for.


What to do next

If you have already published a batch of AI content and traffic has dropped, do not delete everything in a panic. Go through it and sort each page into three piles: genuinely useful, fixable with your own knowledge added, and worthless. Improve the middle pile, remove the last one, and leave the first alone.

If you have not started, begin with the five questions customers ask you most often. Answer those properly, using AI to speed up the writing rather than to replace the thinking. If you want a second opinion on whether your existing content is helping or hurting, send me the URL and I will tell you honestly.

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