Will Google penalise you for using AI to write your content?
I get asked this constantly, usually by someone who has had a go at using AI for a blog post and is now slightly worried they have done something wrong.
The short answer: no. Google does not penalise content for having been written with AI, and it is not trying to detect whether you used it.
The longer answer is more interesting, because there is a real thing to be careful about, and it is not the one people worry about.
Google is not looking for AI. It is looking for patterns.
Google’s position has been consistent and public for years. It judges content on quality and usefulness, not on how it was produced. Its own guidance says appropriate use of automation is not against the rules.
What it does object to is scaled content abuse: producing large volumes of pages primarily to rank, rather than to be useful to anybody.
The distinction matters because it is about behaviour, not tooling. You could commit scaled content abuse with a room full of underpaid writers, and people did for years. AI just made it cheaper and faster, which is why it has become the flashpoint.
So Google is not sitting there running your blog post through a detector. It is looking for the fingerprints of manipulation at scale: hundreds of near-identical pages, templates with the town name swapped out, thin content published faster than any human could have reviewed it.
What actually got penalised
This is where I can be more concrete than most articles on the subject, because there is now a decent evidence trail.
Google ran a spam update in March 2026 that specifically went after this. The sites that got hit shared a recognisable profile: publishing somewhere between fifty and five hundred AI-generated articles per day, across keyword clusters, with no human editorial review, thin factual depth, and no first-hand experience anywhere in them. Often identifiable by identical structure and near-duplicate information across hundreds of pages.
Also caught: template pages that swap out location or product names into an identical structure, spinning up thousands of pages with almost nothing unique in them.
The most important finding from that update, and the one worth remembering: volume alone was not the problem. Lack of editorial value was.
So how much is too much?
Here is the reassuring part, and it is why I usually tell people to stop worrying.
If you are a small business wondering whether publishing one post a week might get you in trouble, you are roughly two orders of magnitude away from the behaviour being penalised. The sites getting hit are publishing hundreds of pages a day. You are considering four a month.
That said, two things genuinely affect where the line sits for you.
Your authority. How established you are. Links pointing at you, people searching for your name, traffic you already have. A well-known site can publish far more without it looking odd, because it looks like a big site doing what big sites do.
Your size. More precisely, how many pages you already have indexed. You can see this in the Pages report in Search Console.
That second one is the more useful gauge. If you have a hundred pages indexed and you add a thousand next month, that is a very strange month. If you have fifty thousand pages and you add a thousand, nobody notices, because it is a Tuesday.
The practical version: growth that looks proportionate to what you already are is fine. Growth that looks like a different website appearing overnight is not.
The prediction that already came true
There was a school of thought, until fairly recently, that this was all handled by hand. Somebody at Google notices what you are doing, a human reviewer looks at it, and a manual action lands in your Search Console.
That was partly true, and manual actions are genuinely rare, affecting well under one percent of websites. But people arguing that Google would eventually have to deal with this algorithmically have been proved right rather quickly. The March 2026 update was exactly that: automated detection, no human required, patterns identified at scale.
Which changes the risk calculation. Manual actions require somebody to notice you. Algorithmic detection does not, and it does not care whether you are big enough to be worth investigating.
The bit most people have backwards
Here is what I actually see, day to day.
Almost every small business I talk to about this is worried about the wrong end of the problem. They are nervous about publishing too much, when their genuine issue is that they have published fourteen pages in five years and three of them are about the office move.
For the overwhelming majority of businesses, the risk is not that you are creating too much content. It is that you are not creating enough.
You cannot get penalised for publishing a genuinely useful page a week. You can, however, remain completely invisible for years because you never got round to writing anything.
Since I am giving advice about this, here is what I do
It would be a bit rich to write all this without being straight about my own practice, particularly as I sell content as a service.
I use AI. Openly, every day. It is quicker at structuring an argument than I am, it does not mind being told to start again, and it will happily check a claim I half remember before I embarrass myself with it in public.
What it does not do is decide what to write about, or supply the parts worth reading.
The anecdotes in these posts are mine. The thirty years of watching this trade change are mine. The opinions, including the ones that lose me work, are mine. When I write that recovering sites from Panda and Penguin taught me something, that happened to me, and no machine could have produced it.
And a fair amount of what I read never makes it here at all. Tips that sound clever turn out to be myths when you check them. Tactics that work right now are the sort of thing that gets people penalised later. The checking is the job, and it is the part that takes the time.
So this blog is written the way I would write for a client: the machine helps with the assembly, the judgement and the experience are human, and every claim gets verified before it goes out.
If I published something I could not defend to you in person, the whole thing would be worthless. Which is a rather effective quality control system, as it happens.
So what does safe look like?
If you want a simple test, it is this: could you defend each page to a person?
Not to Google, to a person. If somebody asked why this page exists, is there an answer better than “we wanted to rank for that phrase”? Does it contain something a real customer would find useful? Is there anything in it that could only have come from you: a price, a photograph, an opinion, something you learned on a job?
That is the whole standard. Google’s own guidance on generative AI content lands in the same place: the issue is churning out pages without adding value.
Use AI to help you write. I do, openly. Use it to get past the blank page, to structure something, to tidy up your grammar. Then put yourself into it, because the bit that is yours is the bit that is worth reading, and it is also the bit that keeps you on the right side of all this.
The tool is not the problem. Publishing things nobody needed is the problem. That has always been true. AI just made it easier to do at a scale that gets noticed.
Want to know whether your content is doing anything for you? Get your free audit, or email hello@inkon.co.uk. I read every message myself.