How to Use AI to Write a Blog Post That Sounds Like You

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You know your business inside out. You answer the same customer questions every week. But the blog has been empty since spring, because every time you sit down to write, the blank page wins and the afternoon is gone.

Here is how to use AI to write a blog post that is actually yours: you bring the knowledge, the AI does the heavy lifting on structure and first drafts. Pick one real question a customer asked you. Talk or type your answer for ten minutes, messy is fine. Give that raw material to ChatGPT, Claude or Gemini and ask for an outline first, not an article. Fix the outline, then draft one section at a time. Add the example only you could know, check every fact, read it out loud, and publish. The AI saves you the blank page. You keep the judgement.

Plan on about 90 minutes for your first post and less once you have your voice notes set up. Below are the seven steps, prompts you can copy, a worked example and the checks that keep a made-up fact off your website.

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Can you use AI to write a blog post?

Yes, and Google says so directly. In its guidance on AI content, Google Search writes that “appropriate use of AI or automation is not against our guidelines”, as long as it is not used mainly to manipulate rankings. It also says plainly that using AI “doesn’t give content any special gains. It’s just content.” (Google Search Central, AI-generated content).

So the question is not “AI or no AI”. The question is whether the post is useful, original and accurate. Google’s own page on helpful, people-first content asks things like: does this show first-hand experience, and would a reader leave feeling they learned enough? A generic article that any chatbot could write for any company fails that test. A post built on your customers’ questions and your own experience passes it.

That is why the order below matters. Your knowledge goes in first. The AI comes second.

Step 1: Pick one question a real customer asked (5 minutes)

The best blog topics for a small business are sitting in your inbox. Scroll back through the last month of emails, chat messages or call notes and write down the questions people asked more than once.

“How long does it take?”
“What do I need to prepare before we start?”
“Is it worth doing X, or should I do Y?”
“Why does it cost more than the cheap option?”

Pick one. One question, one post. If you try to cover three questions, you get three thin answers and a post nobody finishes. If you already know which search words you want to target, our guide to ChatGPT prompts for an SEO content brief shows how to plan the keyword and the gaps before you write.

Step 2: Dump what you know, in your own words (10 minutes)

This is the step most people skip, and it is the one that makes the post yours. Before you open the AI, answer the question the way you would if a customer were standing in front of you.

Easiest way: record a voice memo on your phone while you walk or drive (parked). Talk for ten minutes. Include the story of a customer who got it wrong, the thing you always warn people about, and the tip you give that nobody else seems to give. Then turn the recording into text. Our guide on how to transcribe audio with AI covers free and paid ways to do that.

If you prefer typing, bullet points are fine. Spelling does not matter. What matters is that the facts, the opinions and the examples come from you.

Step 3: Ask for an outline, not an article

Here is where most AI blog posts go wrong. People type “write a blog post about X” and get 800 words of polite filler that could belong to any company in the world.

Ask for the skeleton first. Paste your notes and use a prompt like this:

You are helping me write a blog post for my business.

About me: [one line: what you do, for whom, where]
Reader: [who searches this and what they are worried about]
The question this post answers: [the exact customer question]

Below are my raw notes. Use ONLY the facts and opinions in my notes.
Do not add statistics, studies or claims I did not give you.
If something important seems missing, list it as a question for me instead of inventing it.

Give me:
1. Three possible titles that use the reader's own words
2. An outline with 5 to 7 section headings
3. Under each heading, the points from my notes that belong there
4. A list of questions for me where my notes are thin

My notes:
[paste your notes or transcript]

Read the outline like a customer would. Is the answer to their question near the top? Is anything in there that you would never actually say? Delete it, move things around, and answer the “questions for me” list in a few lines. That ten-minute edit is worth more than any prompt trick.

If your notes are too messy to outline yet, sort them visually first. Our guide on how to make a mind map with AI shows how to group a brain dump into branches, and each main branch can become a section heading.

Step 4: Draft one section at a time

Long drafts produced in one go tend to repeat themselves and drift away from your notes. Section by section keeps the AI close to what you actually said, and keeps you reading along instead of skimming at the end.

Now write only the section "[heading]" from our outline.

Rules:
- Write like I talk to a customer: short sentences, plain words, "you" and "I".
- Use the points from my notes for this section. Keep my examples.
- No stock filler phrases like "in today's fast-paced world".
- 150 to 300 words.
- If you need a fact that is not in my notes, write [CHECK: what you need] instead of guessing.

The [CHECK] markers are the trick. They show you exactly where the AI wanted to fill a gap, so you can fill it with a real fact or cut the sentence.

Tip: set this up once so you do not repeat yourself every time. In Claude you can create a Project, upload a few of your past emails or posts and add instructions about your tone. Claude’s help centre explains that projects give each workspace its own knowledge base and instructions, and that free accounts can create up to five (Claude Help: What are projects?). ChatGPT has projects and custom instructions that do a similar job. Our AI writing assistant guide walks through building a one-page voice brief you can reuse.

Step 5: Add what only you could write

Go through the draft and look for the places where a reader would think “says who?”. That is where your experience goes.

A real example. “Last March a customer brought in…” beats “Many customers find…”. Change names and details if you need to protect privacy.
Your opinion. If you recommend one option over another, say so and say why. Hedged both-sides writing is what makes AI text feel empty.
The warning nobody else gives. The mistake you see every week, the thing that costs people money.
Your local or industry detail. Prices in your area, the rules in your trade, the season when it matters.

This is also what Google calls experience. Its helpful content guidance asks whether content clearly shows first-hand expertise, such as having actually used a product or visited a place. An AI on its own cannot do that part. You can.

Step 6: Check every fact before you publish

AI tools can sound very sure of things that are wrong. OpenAI’s own help centre says ChatGPT can produce “fabricated quotes, studies, citations or references to non-existent sources”, and advises using it “as a first draft, not a final source” (OpenAI Help: Does ChatGPT tell the truth?). Google gives the same advice for anything you put on a website: fact-check and review all AI-generated content before publishing, including the meta description and image alt text (Google Search guidance on generative AI content).

A simple check that takes ten minutes:

Search the draft for every number, date, name, price and quote.
For each one, ask: did this come from my notes, or from the AI? If it came from the AI, find a real source or delete it.
Open every link the AI suggested. If the page does not exist or says something else, remove it.
Resolve every [CHECK] marker.

You can also ask the AI to help with the hunt:

Go through this draft and list every factual claim: numbers, dates, names, prices, quotes, rules.
For each one, say whether it appears in my original notes (yes / no).
Do not fix anything. Just give me the list.

My notes:
[paste notes]

Draft:
[paste draft]

Then you do the checking. The AI finds the claims. You decide which ones are true.

Step 7: Read it out loud, then publish

Read the whole post out loud once. Anything you would never say to a customer, change it. Watch for the usual tells: the same sentence length over and over, three-item lists everywhere, and endings that summarise what you just said.

Then finish the parts around the text:

Title: the customer’s question in their words, close to the front. Google’s title link guidance recommends titles that are descriptive and concise.
Meta description: two sentences that say what the reader gets. Ask the AI for three options and pick one, then check it is true.
One clear next step: book a call, get a quote, read a related post. Just one.
Images: a real photo of your work beats a stock image. If you use AI images, our guide to the best AI tool for image generation compares the options by job.

A worked example (made up, so you can see the flow)

This is an invented example to show the steps, not a real customer.

Sam runs a small bike repair shop. Customers keep asking: “How often should I service my commuter bike?”

Step 1: Sam picks that question.
Step 2: On the walk home, Sam records nine minutes: the customer whose chain snapped on a hill because it had never been oiled, the rule of thumb Sam gives people who ride daily in the rain, the three things anyone can check at home, and why a cheap tune-up in spring saves a bigger bill in autumn.
Step 3: The AI turns the transcript into a six-part outline and asks two questions: “Do you service e-bikes?” and “What does a basic service include in your shop?” Sam answers both in two lines.
Step 4: Sam drafts section by section. One section comes back with “[CHECK: typical chain lifespan]”. Sam replaces it with what the shop actually sees, framed as experience, not a universal number.
Step 5: Sam adds the snapped chain story and an honest line: “If you ride less than once a week, you probably do not need a full service every season.”
Step 6: The fact list shows one claim not in the notes, a statement about a tyre pressure rule. Sam cannot find a source worth trusting, so the line goes.
Step 7: Read out loud, two stiff sentences rewritten, title set to “How Often Should You Service a Commuter Bike?”, published with a link to book a service.

Total time: a bit over an hour. The post sounds like Sam because almost every point came from Sam.

Which AI tool should a small business owner use for blog posts?

Start with the general assistant you already use. ChatGPT, Claude and Gemini can all outline, draft and edit a blog post well when you feed them good notes. If you have not picked one yet, our ChatGPT tutorial for beginners and Claude tutorial for beginners get you set up in one sitting.

Dedicated “AI blog post generator” tools exist too. Some add templates, SEO scoring or a direct link to WordPress. They can be handy at volume, but none of them knows your customers. The steps above matter more than the tool. If a tool promises full articles from a single keyword, be careful: Google warns that using generative AI “to generate many pages without adding value for users may violate” its spam policy on scaled content abuse (Google Search guidance, see also the spam policies).

Mistakes that make an AI blog post obvious

Starting with “write a blog post about X”. You get the average of the internet. Start with your notes.
Letting it invent numbers. “Studies show most people…” with no link is a red flag for readers and a risk for you.
Publishing the first draft. The first draft is raw material. The edit is where it becomes yours.
Covering everything. A post that answers one question well beats one that lists ten tips nobody remembers.
Posting ten a day. Volume without value is exactly what Google’s scaled content policy targets. One good post a week, built from real questions, is a steady and safe pace.

Turn one post into more

Once the post is done, you already have the hard part. Ask the AI to pull three short LinkedIn posts from it, or a paragraph for your next email to customers. Our guides on writing LinkedIn posts with AI and writing a newsletter with AI show how to do that without sounding like a robot. And if you want the publishing and sharing to happen by itself, AI automation for small business shows where to start.

If you want the fuller weekly system, one idea turned into a main piece, then into posts, an email and a short script, see our guide to AI for content creation. It starts from the same raw notes you used for the blog post, then shows how to cut that one piece into a week of content without writing everything from scratch.

Questions people ask

Will Google penalise a blog post written with AI?

Not for using AI as such. Google’s position is that it rewards helpful, original content however it is produced, and that AI used mainly to manipulate rankings is spam (Google Search Central). A post built on your own knowledge and checked for accuracy is on the right side of that line.

Do I have to tell readers I used AI?

Google suggests adding a note about how content was made where readers would reasonably wonder “How was this created?”, and advises against listing AI as the author. For a post where you supplied the knowledge and edited the draft, many businesses simply keep their own name on it. If AI did most of the writing, a short line explaining how you used it is honest and costs you nothing.

Who owns a blog post written with AI?

In the US, the Copyright Office concluded in January 2025 that AI output can be protected only where a human determined enough of the expressive elements, for example through creative arrangement or changes to the output, and that prompts alone are not enough. Using AI to assist does not rule out protection (U.S. Copyright Office, Part 2 report). Other countries have their own rules. The practical takeaway: the more of the post is genuinely yours, the stronger your position. For anything important, ask a lawyer where you are.

How long should the blog post be?

As long as it takes to answer the question properly, and no longer. Do not ask the AI to stretch it to a word count. Padding is easy to spot and it makes readers leave.

Can I use AI to write a blog post for free?

Yes. The free versions of ChatGPT, Claude and Gemini can handle every step in this guide. Paid plans mainly give you more usage, which helps if you write often.

If you are still picking between those free tools, see ChatGPT vs Claude vs Gemini for which one fits your writing work.

The same interview-first approach works beyond the blog. If your home page or service pages still sound generic, see how to write website copy with AI, step by step with prompts.

Your next step

Open your inbox, find the question you answered most often this month, and record ten minutes on it today. That recording is your first blog post, waiting to be shaped. If you want more short, practical guides like this one, start with our free Launchpad on our home page.