Using AI to Write Blog Posts: What Works, What Google Says and What to Avoid
AI can write a passable 1,500-word blog post in under a minute. That's the easy part. The hard part is that "passable" is exactly what the internet already has too much of, and a post that reads like every other post on the subject gives nobody a reason to read yours.
Used well, AI saves you hours. Used lazily, it fills your blog with confident, generic text that may contain mistakes you didn't spot. The difference is almost entirely in how you work with it.
What AI is genuinely good at
Think of AI as a fast, tireless assistant that has read a great deal but has never actually done anything. It's very useful for the parts of writing that are about shaping words rather than knowing things first-hand.
- Outlines. Give it your topic and the reader's question, and it'll suggest a structure in seconds. You'll usually reorder or cut some of it, but it beats a blank page.
- First drafts. A rough draft you then rework is often faster than writing from nothing, especially for explanatory sections.
- Rewording. Tightening a clumsy paragraph, simplifying jargon, changing the tone, or suggesting five ways to say the same thing.
- Headlines and meta descriptions. Ask for twenty options, then pick and tweak the best one.
- Summaries. Condensing your own long post into a short intro, an email or a social caption.
- Alt text. Describing your images for screen-reader users, which plenty of bloggers skip because it's tedious.
Notice what these have in common. In every case, you supply the substance and AI helps with the shape.
What AI is bad at
First-hand experience
AI hasn't cooked your recipe, used the product or walked the route. It can describe what people generally say about these things, but it can't tell readers what happened when you tried it. That first-hand detail is often the most useful part of a blog post, and it's the part readers can't get elsewhere.
Accurate, up-to-date facts and numbers
AI models learn from data up to a certain date and can be out of date on prices, rules, product features and anything that changes. Worse, they can state wrong facts in a completely confident tone: a made-up statistic, a law that doesn't exist, a feature a product never had. These errors read exactly like correct sentences, which is why they're dangerous.
Treat every number, date, name, quote and claim in an AI draft as unchecked until you've checked it.
Original opinions
Ask AI for a view and you'll usually get a balanced summary of everyone else's views. That's useful for research, but a blog needs a point of view. "It depends" is not a reason to follow a writer. Which kit would you actually buy? What do you think most beginners get wrong? That has to come from you.
Sounding like a person
Unedited AI text has a recognisable style: tidy, polite, padded, full of the same stock phrases, every section the same shape. Readers increasingly spot it and tune out. It needs real editing to sound like you.
What Google actually says about AI content
There's a lot of rumour about this, so here's what Google itself has said publicly.
Google says it rewards helpful, reliable, people-first content, however it's produced. Using AI isn't against its guidelines in itself. What is against its spam policies is using automation, AI included, to mass-produce pages mainly to manipulate search rankings rather than to help people. Google calls this scaled content abuse, and it applies whether the pages are churned out by AI, by people or by both.
Its guidance also leans heavily on E-E-A-T: experience, expertise, authoritativeness and trustworthiness. Experience was added more recently, and it's exactly the thing AI can't provide on its own. Content that shows the writer has actually used the product or been to the place tends to fit what Google describes as helpful.
Google's own page on creating helpful, reliable, people-first content is worth reading in full. It includes a set of self-assessment questions, such as whether your content provides original information or analysis, and whether someone reading it would leave feeling they've learned enough.
So the practical rule is simple. Google doesn't care whether AI helped. It cares whether the result is useful, accurate and written for people. A hundred thin AI posts published in a week is a risk. One well-researched post that AI helped you draft is not.
A workflow that works
Here's a sensible way to use AI without ending up with generic or wrong content.
- You decide the angle. Pick the reader's question and what you think the answer is before you open any AI tool. This is the part that makes the post yours.
- Gather your own material. Notes, results, photos, prices you've paid, mistakes you've made. Even a few bullet points of real experience change the whole post.
- Let AI produce an outline, then fix it. Cut sections that don't serve the question, add ones it missed and reorder for the reader.
- Let AI draft, section by section. Feed it your notes for each section so the draft is built around your material, not its general knowledge.
- Add experience and examples. Go through the draft and add what only you know: what happened, what surprised you, what you'd do differently.
- Fact-check every number and claim. Check each one against an official or primary source. If you can't confirm something, cut it.
- Edit for voice. Remove the stock phrases, vary sentence length, add your opinions and cut about a fifth. Read it aloud.
- Add your own photos. Real images of the real thing are a strong signal of first-hand experience, and they're more interesting than stock pictures.
This takes longer than pressing "generate" and publishing. It's still usually much faster than writing everything from scratch, and the result is a post worth reading. Our guide on how to write a blog post covers the editing side in more detail.
What to avoid
Publishing drafts unedited. Even good AI output needs a human pass for accuracy and voice. Unedited posts are where invented facts slip through.
Mass-producing posts. Publishing dozens of AI posts a day on topics you know nothing about is the pattern Google's spam policies describe. Even if it worked briefly, you'd be building on sand.
Writing about things you can't check. Health, money and legal topics need particular care. If you can't verify the advice and don't have the expertise, don't publish it.
Letting AI pick your topics blind. AI will happily suggest topics, but it doesn't know what's searched, what's competitive or what you can genuinely write about. Use real search data. Our article on finding a blog niche you can rank for explains how.
Trying to hide it. Some tools promise "undetectable" AI text. Detection tools are unreliable in both directions, so chasing that is a waste of time. And it's the wrong goal: aim for a post that's genuinely useful and clearly yours, and the question of how it was drafted matters far less.
What it costs
There are two main ways to pay.
Pay-as-you-go APIs, where you pay the AI provider per amount of text processed, are cheap per article. Drafting a typical blog post usually costs a few pence, sometimes less, depending on the model you choose. You need an account with the provider and a tool that connects to it.
Subscriptions are simpler. Consumer AI chat apps commonly cost around £15–£20 ($20) a month for their paid tiers, and many have free tiers with limits. Dedicated AI writing tools vary much more widely, and some charge by word count or number of articles. Prices change often, so compare current plans.
Some blogging tools build AI drafting straight into the editor, fastCMS among them, while keeping it optional, so you can use it for one section and write the rest yourself. Whichever route you pick, the cost of the AI is small next to the value of the time you spend editing and checking. Our breakdown of what it costs to start a blog puts this in context with hosting and domains.
Should you tell readers AI helped?
Consider it. Google's guidance suggests thinking about whether readers would reasonably expect to know how content was made, and being open where they would. There's no single rule for bloggers, but a short line such as "drafted with AI assistance, edited and fact-checked by me" costs nothing and builds trust. It also keeps you honest about doing the checking.
What you shouldn't do is claim experience you don't have. A review that says "I tested this" must mean you tested it, whoever typed the sentences.
FAQ
Does Google penalise AI-written blog posts?
Not for being AI-written. Google says it rewards helpful, people-first content however it's made, but treats mass-produced content made mainly to manipulate rankings as spam.
Can AI write a whole blog post for me?
It can produce a full draft, but publishing it unedited is risky. You need to add your own experience, check every fact and edit it so it sounds like you.
Is AI-generated content accurate?
Not reliably. AI can state wrong facts, numbers and quotes with total confidence, so treat every claim in a draft as unchecked until you've verified it against a trustworthy source.
How much does AI blog writing cost?
Pay-as-you-go APIs usually cost a few pence per article. Subscriptions to AI chat apps commonly run around £15–£20 ($20) a month, and dedicated writing tools vary widely.
Should I disclose that I used AI?
It's worth considering. A short note that AI helped with drafting, alongside your own editing and fact-checking, is honest and tends to build reader trust.
Try it on one post
Pick your next post, write down the angle and your own notes first, then use AI only for the outline and first draft. Time how long the editing and fact-checking take. That one experiment will tell you more about whether AI fits your blogging than any guide can.
