In short: Google does not penalise website content because it was written with AI. It penalises content that is unhelpful, unoriginal or produced mainly to game search rankings, however it was made. That has been Google’s published position since February 2023, and it tightened the rules on mass-produced content in March 2024. So yes, you can use AI tools to help write your website, provided the tools produce good-quality, useful output and you give that output the things Google is actually looking for: experience, expertise, authority and, above all, trust.
A lot of small business owners I speak to are nervous about this. They’ve heard “Google hates AI content” and they’re worried that a page drafted with Claude or ChatGPT will get their site flagged as spam. The worry is understandable, but it’s based on a misreading of what Google has said. Let’s clear it up.
What Google actually says about AI content
On 8 February 2023, Google’s Search Quality team published its guidance on AI-generated content. The key points:
- Quality is what’s rewarded, not the method. Google’s ranking systems are built to reward original, high-quality content, “however it is produced”. Automation has been used for years to publish useful things like weather forecasts, sports results and transcripts, and Google has never banned it.
- There is one rule that matters. Using automation, including AI, to generate content whose primary purpose is to manipulate rankings is against Google’s spam policies. That’s the line. Not “did you use AI?”, but “why did you make this page?”
- AI content gets no special treatment either way. In Google’s own words, “Using AI doesn’t give content any special gains. It’s just content.” Useful, original pages can rank. Useless ones won’t, whoever or whatever wrote them.
- Should you use it? Google’s answer is a fair one: if you see AI as a way to help you create helpful, original content, it’s worth considering. “If you see AI as an inexpensive, easy way to game search engine rankings, then no.”
Then on 5 March 2024, alongside a core update, Google added a specific policy on scaled content abuse. It targets sites that generate many pages primarily to manipulate rankings, “regardless of whether it’s created by automation, humans, or a combination”. The examples Google gives are things like using AI to mass-produce pages that add nothing for users, scraping other sites and rewording the results, or stitching bits of other pages together. In other words, the factory approach.
Read those two documents together and the picture is clear. Google is not against the tool. It’s against the content farm.
What that means for a small business website
Most small businesses are nowhere near the behaviour Google is describing. You’re not generating ten thousand pages about every town in England. You want a decent service page, an “about us” that doesn’t sound stiff, a few articles answering the questions customers actually ask, and you want them written this month rather than “when I get a minute”.
That is exactly the kind of work AI tools are good at helping with, and it is exactly what Google says is fine. The condition is that the result has to be genuinely useful, accurate and recognisably yours. Which brings us to the part Google keeps repeating.
E-E-A-T: what Google is looking for
E-E-A-T stands for Experience, Expertise, Authoritativeness and Trustworthiness. It comes from the guidelines Google gives to its human search quality raters, and it describes what a page from a credible source looks like. It isn’t a single ranking factor you can switch on, but Google’s systems use many signals that line up with it, and it carries extra weight for topics that affect people’s health, money or safety.
Here’s what each part means in practice for a small business:
| Letter | What Google wants to see | What it looks like on your site |
|---|---|---|
| Experience | First-hand involvement with the subject | Real examples from jobs you’ve done, photos you took, what went wrong and how you fixed it, prices and timescales from your own work |
| Expertise | Knowledge and skill in the topic | Explaining the “why” behind your advice, qualifications where relevant, answering the questions a novice wouldn’t think to ask |
| Authoritativeness | Being a recognised source on the subject | Named authors with a bio, mentions and links from trade bodies, local press or suppliers, consistent business details everywhere |
| Trustworthiness | Accuracy, honesty and transparency | Correct facts, cited sources, clear contact details, honest pricing, genuine reviews, a page that does what its title promises |
Google says trust is the most important of the four. The other three are ways of earning it. And notice that nothing in that table can be fully produced by a machine on its own. Your experience, your opinions, your photos and your reputation have to come from you. The AI can help you write them up clearly. It can’t invent them, and if you let it try, Google calls that out specifically: fabricated authors, fake credentials and AI-generated headshots are listed as signs of low-quality content.
The three questions Google asks of every page
Google’s guidance on helpful content boils the whole thing down to “Who, How and Why”:
- Who made it? Is it clear who wrote the page, with a byline linking to something about them? Google advises against listing an AI as the author.
- How was it made? Where readers might reasonably wonder, say so. “Drafted with an AI assistant and edited by our team” is fine. Google asks for disclosure where people would expect it, not on every page.
- Why does it exist? If the honest answer is “to help the people who visit our site”, you’re on the right side of the line. If it’s “to catch search traffic for a topic we don’t really do”, you’re not.
How to use AI for website content, properly
This is the process I use and recommend. It keeps the speed of the tools while making sure the output passes the tests above.
- Start with your knowledge, not the tool’s. Before you ask an AI to write anything, give it the raw material only you have: how you actually do the job, what customers ask, what you charge, what you’d warn people about. A page written from your notes is original. A page written from a one-line prompt is the same page everyone else gets.
- Use a tool that’s built for quality. Not all AI writing tools are equal. Pick one trained and set up to produce careful, accurate, well-structured text, and give it your style and terminology. If you have a brand voice document, use it. If you don’t, that’s the first thing to write.
- One page per real need. Write pages for the services you offer and the questions people genuinely ask you. Don’t generate a page for every keyword a tool suggests. That’s the behaviour the scaled content policy is aimed at.
- Add what only you can add. Go through the draft and put in the first-hand bits: a real example, a photo from a job, a figure from your own records, a strong opinion. This is where Experience and Expertise come from, and it’s usually what makes a page worth reading.
- Check every fact. AI tools can state things confidently and wrongly. Dates, prices, regulations, product specs and anything about health, money or safety must be checked against a source you trust. Google’s guidance specifically flags “easily verified factual errors” as a mark against a page.
- Put a real name on it. Add a byline and an author page with a short bio. Add a one-line note about how the page was produced if readers would want to know.
- Read it as a customer. Would you bookmark it? Would you send it to a friend who asked the question? If it’s padding to hit a word count, cut it. Google says plainly that it has no preferred word count.
What to avoid
These are the things Google lists as signs of search-engine-first content, and they’re also the things that make AI output look like spam:
- Publishing large numbers of pages on topics you have no real expertise in, hoping some of them rank.
- Letting the tool write and publish without anyone reading it.
- Rewording other people’s articles and presenting them as your own.
- Making up authors, reviews or credentials.
- Promising answers you don’t have, or changing dates to look fresh.
- Spreading the same thin content across several sites.
A quick self-check before you publish
| Question | Pass if… |
|---|---|
| Would this page exist if Google didn’t? | Yes, because customers ask about this |
| Does it contain something only we could say? | At least one real example, figure, photo or opinion from your own work |
| Has a human checked every fact? | Yes, against a source you trust |
| Is it clear who wrote it? | Named author, with a bio |
| Would a reader want to know AI helped? | If so, you’ve said so |
| Is it the right length? | Long enough to answer the question fully, and no longer |
If you can tick all six, you’re producing exactly what Google says it wants to rank, and the fact that an AI tool helped you draft it is neither here nor there. As Google says, it’s just content. Make it good content.
Need a hand?
If you’d like help setting up AI tools so they write in your voice and to this standard, or you’d like your existing pages reviewed against E-E-A-T, get in touch.
Sources
- Google Search Central: Google Search’s guidance about AI-generated content, Danny Sullivan and Chris Nelson, 8 February 2023.
- Google Search Central: What web creators should know about our March 2024 core update and new spam policies, Chris Nelson, 5 March 2024.
- Google Search Central: Spam policies for Google web search, including the scaled content abuse policy.
- Google Search Central: Creating helpful, reliable, people-first content, including the E-E-A-T and “Who, How, Why” guidance.