AI-Written Blog Posts and Google: What the Rules Say

Many of the small bakeries I know keep a stand mixer in the corner of the kitchen. It kneads several kilos of dough at a time without anyone's arms getting tired, and it frees the owner up for everything else. Yet no customer has ever come back for a second loaf because the shop owns a good mixer. They come back for the taste, for a recipe the owner has adjusted over years, and because someone tastes every tray before it goes on the counter.

The mixer can do the heavy work. The flavour still belongs to the baker.

Lately I hear the same question from shop owners far more often. If I let AI write blog posts for my shop's website, will Google penalise me? Will it be treated as spam? And if it's allowed, how far should I go? This isn't just a feeling, either. When I checked Google Ads Keyword Planner on 1 October 2026, Thai searchers were looking up “ai เขียนบทความ” (AI article writing) around 170 times a month, “ai ช่วยเขียนบทความ” (AI help writing articles) around 170 times, and “ai เขียนบทความฟรี” (free AI article writing) around 70 times. Those are Thai-market figures. If you are one of those searchers, this post on AI-written blog posts and Google is for you. I'll walk through what Google has actually written, what AI is good at, which parts need to come from you, and a 6-step workflow that keeps your shop sounding like your shop.

A quick self-check, in under 5 minutes

Pick the most recent post you want to put on your website. It can be one AI helped draft or one you wrote yourself. Then answer a few questions honestly.

Start with this: does the post contain anything only your shop knows? A real price, a photo taken in your own store, a question a customer actually asked at the counter, or a mistake you once made and fixed. Next, if a regular customer read it, would they hear your voice, or would it read like it could have come from anywhere? Then, have you checked every number and fact in it against a real source? Finally, are you writing it because your customers want to know, or because you heard a site needs lots of posts to rank on Google?

If the first three come back “yes, yes, checked” and the last one is “because customers want to know”, you are already on the right track, whoever typed the first draft. If any of them was hard to answer, the rest of this article should help.

What Google says about AI-written blog posts

Google answered this in writing some time ago, and the answer is more direct than most people expect.

Google rewards the quality of the content

On 8 February 2023, Google's Search Quality team published a post on the Search Central Blog called Google Search's guidance about AI-generated content. Its first heading says plainly that Google rewards high-quality content however it is produced. In the FAQ at the end, Google answers that appropriate use of AI or automation is not against its guidelines.

Google also points out that automation has long been used to produce helpful content, such as sports scores, weather forecasts and transcripts. At the same time it is clear that using AI gives content no special advantage. If the content is useful, helpful, original and shows the qualities of E-E-A-T, it might do well in Search. If it doesn't, it might not.

E-E-A-T stands for Experience, Expertise, Authoritativeness and Trustworthiness. On its page Creating helpful, reliable, people-first content, last updated on 10 December 2025, Google writes that of these four, trust is the most important. The same page has one self-assessment question I particularly like: does your content clearly demonstrate first-hand expertise, for example from having actually used a product or service, or visited a place?

That is the question AI cannot answer on your shop's behalf.

The clear line Google draws: scaled content abuse

What Google does not accept is using automation, including AI, to generate content with the primary purpose of manipulating search rankings. Google calls this a violation of its spam policies, both in the 2023 post and on the current helpful content page.

The page Spam policies for Google web search, last updated on 28 August 2026, has a section on scaled content abuse. It describes it as generating many pages for the primary purpose of manipulating search rankings and not helping users. The first example Google lists is using generative AI tools or similar tools to generate many pages without adding value for users. Another example worth knowing is scraping other content and generating many pages through automated transformations, such as swapping in synonyms or translating, where little value is provided.

Notice that Google sets no number of posts that crosses the line. The phrase that keeps returning is “without adding value for users”. A shop that posts once a month, but copies each outline from somewhere else and lets AI polish it, is not far from that line. A shop that posts often, with real photos, real prices and answers to questions customers really ask, is on the other side of it entirely. The helpful content page also makes a point I'd like every owner to see: if you are writing to a particular word count because you heard Google prefers one, Google's answer is that it doesn't.

Who, How and Why: the questions Google asks you to ask

The helpful content page has a section I think every shop owner should read themselves. It suggests evaluating your content in terms of Who, How and Why.

Who is about authorship. Google encourages accurate bylines where readers would expect one, ideally leading to more information about the author. For a small shop, the owner's or lead technician's name with one line about how long they've done this work already goes a long way. As for listing AI as the author, Google's 2023 FAQ says that giving AI a byline is probably not the best way to make clear to readers that AI was part of the process.

How is about how the content was produced. Google's example is product reviews: readers trust them more when they know how many products were tested, what the results were and how the tests were run, backed by evidence such as photographs. Google adds that AI-generated and AI-assisted content has a How component too, and that explaining the role automation played helps readers. It doesn't require a label on every post. It suggests adding a disclosure where someone might reasonably wonder how the content was created.

Why is the question Google calls perhaps the most important. Why are you creating this post at all? If the answer is to help people, with content that is useful even to visitors who come to your site directly, you are aligned with what Google's systems seek to reward. If the answer is mainly to attract search engine visits, that's the signal to step back and rethink.

What AI does well, and what needs your hand

I'll say it plainly: ChatGPT, Gemini and Claude write more fluently than many people expect, they're good at putting ideas in order, and they're far faster than starting from a blank page. Using them to help is genuinely sensible.

AI is good at mixer work. It can turn your customers' most common questions into an outline, draft a first version from your short notes, smooth out sentences that wander, draft an English version for you to check, and suggest sub-topics or questions you may have forgotten to answer.

The work that needs your hand is what makes the post belong to your shop. Today's real prices. Photos taken in your shop on your own phone. Real stories from customers, such as what they asked before deciding to buy. A mistake the shop learned from. And checking every number against its source, because AI sometimes states a figure or a document title with complete confidence when it doesn't exist.

If you also want AI to make images for your posts, commercial-use rights differ by tool. I went through the terms one source at a time in our article on using free fonts, Canva images and AI images on a business website. Where you have the choice, though, real photos of your own products are still the best evidence of Experience you can show.

“If AI writes better than I do, what could I possibly add?”

This is the question I hear most, and I understand the feeling. Plenty of shop owners don't feel confident about their writing. When they see AI produce neat sentences, what they could add starts to feel unimportant.

But think about what customers search for before they visit you. How many days ahead to order a birthday cake. What the air-con repair shop charges for a clean. Whether the clinic opens on Sundays. AI doesn't know any of those answers until you tell it. And a plain sentence like “December fills up fast, most customers order two weeks ahead” is worth more to a reader than a polished paragraph that says nothing specific.

So imperfect writing isn't the real problem. Let AI help polish it. What you need to protect is the real information and your own voice. If you usually talk to customers in a relaxed, friendly way, the post should sound the same.

Why starting early pays off

A post on your website doesn't scroll away like a Facebook post. A post that answers a customer's question well stays put and keeps getting found. A shop that starts writing today will, six months from now, have a handful of posts with real photos, real prices and real questions. Each one is a small piece of evidence that this shop actually does this work.

Data builds up too. Once posts have been live for a while, Google Search Console starts showing which searches led people to your shop. That tells you what customers want to know next, which is excellent raw material for the next post. Start late, and that data starts late as well.

As for being picked up by AI assistants like ChatGPT, I covered that in our guide to AEO. The core idea is similar: content written from your shop's real information stands a better chance of being used than content that says what every other site says.

The minimum version a small shop can manage

You don't need a content team. The minimum version is one post that answers the question customers ask you most often, with your name as the author, at least one real photo from your shop, real prices or terms where relevant, and a read-through by you before every publish.

That alone covers Who, How and Why. If you want to plan what to write next so it keeps going, our content marketing strategies for driving website traffic is a good companion read.

The one thing I'd be careful with is letting AI build a whole website or system with nobody checking it. That's a much bigger question than blog posts, and a different decision altogether.

Real examples you can use right away

The best examples come from Google itself. Start with the automated content Google cites as helpful: sports scores, weather forecasts and transcripts. What they share is that the underlying data is real, and automation only arranges it so it's easy to read. Your shop can use the same principle. Let real information be the source, and let AI help arrange it.

Another example you can borrow directly is the product-review case under How. Suppose a baking-supplies shop reviews three cake tins, says how many times it baked with each, shows photos of the actual results, and notes that AI helped tidy up the wording. That covers Google's How guidance fully, without anyone needing to be a professional writer.

As for what to avoid, Google spells that out in the spam policies. If a shop had AI generate hundreds of “service in [district]” pages that differ only by place name, that matches generating many pages without adding value for users. If someone pitches you that approach, ask them the Why question.

What actually happens on our own blog

To be straightforward: the TumWebSME team uses AI too, including for the article you are reading now. AI helps us draft, structure and prepare the English version. The rule we hold ourselves to is that every figure must have a source a reader can open. All three Google links in this article were opened and read on the day it was written, and the update dates I quote come straight from those pages. Any figure we can't trace to its original source gets cut. And every article is read by someone on the team before it's published. Nothing goes live automatically.

We also learned the value of checking the real thing from another part of our work. When we rebuilt the TumWebSME website in 2026, the Google Ads conversion tag went live with the site but sat in the wrong place, so it wasn't actually running on the live site for about a week after our ads started. Clicks came in as normal, but conversions read zero. Since then our rule is that anything important gets checked on the live page. Blog posts are the same. After publishing, open the real page and read it again: check the photos, the links and the prices.

A 6-step plan: use AI and keep your shop's voice

1. Write down your raw ingredients before opening AI. Note real customer questions, prices, terms and stories from the shop floor, in your own words.

2. Ask AI for an outline. Give those notes to ChatGPT, Gemini or Claude and ask only for headings and an order. Don't ask for the full post yet.

3. Have AI draft from your notes. Tell it to use only the information in your notes, and to write in the tone you use with customers, for example relaxed and friendly.

4. Add what only you have. Put in real photos, real prices and customer examples, and cut any sentence so general it could belong to any shop.

5. Check facts one by one. Every number, rule name, document title and link must open and say what you claim. If you can't find it, cut it.

6. Add your byline and read it on the live page. Put your name on it. If readers might wonder how the post was made, add a short note that AI helped with the wording. Then open the published page and read it once more.

How to measure whether posts are helping

The first tool I recommend is Google Search Console. It's free, and it shows which searches each post appears for, how often it's seen and how often it's clicked. If you haven't used it yet, start with our beginner's guide to Google Search Console. Check once a month whether posts with real photos and real prices are found differently from the more general ones.

The second tool needs no software at all: ask your customers. Our sales team logs every phone call and every LINE chat with two questions, where did you find us and what did you search for, because analytics tools can't see LINE conversations. When a customer says “I read that post and then messaged you”, that's a result the numbers in your dashboard will never fully show.

Some people ask me whether they should run their posts through a tool that claims to measure what percentage was written by AI. None of the three Google documents I've cited mentions scores like that. What Google writes about is quality, real experience and the purpose of the content. So I'd spend that time on the two methods above instead.

Back to the mixer in the kitchen

A bakery customers love never has to explain whether it uses a mixer or kneads by hand. Customers only know the bread is good and that someone cares about every tray. AI is the stand mixer of writing. It can take a lot of the effort off you. The recipe, the touch and the tasting before anything goes on the counter are still yours.

If you'd like a website that's ready for your shop's posts to do their job, from page structure and author bylines to a Search Console connection, take a look at what each TumWebSME website package includes, then tell us a little about your business. We'd be glad to talk it through.

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