How do you use AI to write blog posts that rank?
Use AI for the slow, predictable parts: outlining, first drafts of explanatory sections, and title and description options. Supply the rest yourself: what you tried, what happened, your opinions and any numbers from your own work. Then fact-check everything the model wrote. You're the editor-in-chief and the AI is a fast first-draft writer. Google's guidance allows AI-assisted content that is helpful and original, and says using AI gives content no ranking advantage of its own.
The "prompt-to-publish" trap
The biggest mistake I see is copying and pasting straight from a chatbot. AI drafts have tells, phrases like "in the modern digital world" or "unleash your potential", and readers notice them. The bigger problem sits underneath: unchecked facts, and nothing a reader couldn't get from the other pages on the topic. Publishing that in bulk is what Google's scaled content abuse policy describes: "Using generative AI tools or other similar tools to generate many pages without adding value for users." I always spend at least 15 minutes rewriting the intro of an AI-drafted post and adding an opinion the model wouldn't have given me.
Is it OK to use AI to write blog posts?
For search, yes, with conditions. Google's position since February 2023 is that "appropriate use of AI or automation is not against our guidelines," and that using AI "doesn't give content any special gains." What it rejects is generating many pages without adding value, and publishing unchecked text: its guidance on AI content asks you to fact-check everything the model wrote, including titles and meta descriptions.
Search isn't the only rule that applies. If you write for a client, a publication or a school, their policy on AI decides what you may do, and some require you to say when AI helped. Readers are the other test. A post that reads like every other result gives them no reason to come back, whoever wrote it.
My AI blog workflow, step by step
This is the AI blog writing workflow I use with the free AI tools on this site, none of which needs an account. The steps work the same with any chatbot.
1. Decide what you'll add before you open a tool
Write down the one thing your post will have that a model can't produce: a test you ran, a mistake you made, a number from your own analytics, an opinion you can defend. Google's guide to generative AI search, published in May 2026, calls the alternative commodity content. Its example is "7 Tips for First-Time Homebuyers", which is common knowledge "which could originate from anyone." If you can't name your addition, the post probably isn't ready to write.
2. Outline with the AI blog outline generator
In the AI blog outline generator, enter the topic, choose an audience (general public, beginners, intermediate, experts, business owners or students) and an article length: Short (500-800 words), Medium (1000-1500, the default), Long (2000-3000) or Comprehensive (4000+). Introduction, FAQ and Conclusion are ticked by default; Key Takeaways and Expert Tips are optional. You get H2 and H3 headings, a one-sentence note on what each section should cover and an estimated word count per section.
Then edit the outline. Delete any section you have nothing to add to, and merge headings that answer the same question. Treat the word counts as a rough budget, not a target. Google says it has no preferred word count, as I explain in how long a blog post should be.
3. Draft one section at a time
The AI content writer works from a topic (up to 200 characters), a content type, a tone and a length: Short (100-200 words), Medium (300-500) or Long (700-1000). You can add target keywords and extra instructions. Drafting one H2 section per run gives you more control than asking for a whole post, and the Long setting stops at 1,000 words anyway. Put the section heading in the topic field and use the instructions box for what that section has to say, for example:
Explain why blocking GPTBot does not remove a site from ChatGPT search. Mention that OAI-SearchBot is the crawler for search. Two short paragraphs. No intro sentence and no summary at the end.
Keep instructions short: the whole request, including the tool's own wording, is capped at 2,000 characters, and the site allows five AI requests a minute. The output shows its word count, so you can see when a section runs long.
4. Add the parts only you can write
Go through the draft section by section and add your own material: what you did, what happened, what surprised you, what you'd skip next time. This is what Google's guidance keeps asking for, in phrases like "first-hand expertise" and "a unique point of view."
5. Fact-check, then edit for voice
Check every number, quote, date and link the model produced. Google's generative AI content guidance says generative models "don't retrieve facts, but predict a likely sequence of words," and asks you to "manually factcheck and review all AI-generated content." Then edit for voice with my AI editing checklist and run the text through the readability score checker.
6. Write the title and meta description last
The AI meta generator returns one, three or five title and description pairs, with the model told to keep titles to 50-60 characters and descriptions to 120-160. Describe the page in the URL/topic tab, or paste your intro into the content tab. Check the options in the SERP preview and edit the one you choose; Google's guidance says AI-written titles and meta descriptions need the same review as the body. More in generating meta descriptions with AI.
7. Decide whether to disclose
Google suggests an AI disclosure where a reader "might think 'How was this created?'" and advises against naming AI as the author. I cover the details in is AI content bad for SEO.
One section from prompt to published
Here is how the GPTBot instruction from step 3 turns into a finished section. The draft comes back as two paragraphs that explain the difference between OpenAI's crawlers. Before keeping any of it, check each claim against OpenAI's own crawler documentation. That page says "each setting is independent of the others," that OAI-SearchBot "is used to surface websites in search results in ChatGPT's search features," and that GPTBot crawls content "that may be used in training our generative AI foundation models."
Anything in the draft that the documentation doesn't say goes. A model writing about crawlers may add a confident detail, such as how fast changes take effect; OpenAI's page gives "~24 hours" for search results to adjust, so use that figure with the source or leave it out. Then add what only you can: whether your own site allows each bot and what you saw in your server logs. The published section ends up shorter than the draft, with one link to the source and one fact from your own site.
What to hand to AI and what to keep
| Part of the post | Use AI for | Do yourself |
|---|---|---|
| Outline | A first list of headings to react to | Cut sections, reorder them for your reader |
| Definitions and background | A clear first draft | Check it against a primary source |
| Examples and results | Nothing. It has no access to your results, so anything it writes here is made up | Your own tests, numbers and screenshots |
| Opinions | Arguments against your view, to test it | The opinion itself |
| Title and meta description | Several options quickly | Pick one, edit it, check its length |
Common mistakes with AI blog writing
- Asking for the whole post in one run. The content writer's Long setting stops at about 1,000 words, and a model given a whole post tends to write the same shallow paragraph under every heading.
- Stuffing the Target Keywords box. The model will repeat whatever you put there. List one or two phrases, then paste the draft into the keyword density checker to see whether any word dominates. My guide to avoiding keyword stuffing covers what to do if it does.
- Keeping statistics the model supplied. If you can't find the source, the number goes.
- Letting AI write your examples. It has no access to your results, so an example it writes is invented.
- Updating the date without updating the post. Google lists that as a warning sign.
Frequently asked questions
Is it okay to use AI for SEO?
Yes, as long as the result helps the reader. Google's FAQ on AI content says "appropriate use of AI or automation is not against our guidelines" and that using AI "doesn't give content any special gains." Low-quality content is the problem, whether a person or a model wrote it.
Can I publish an AI draft without editing it?
You can, but you'd be publishing text nobody has fact-checked, and Google's generative AI guidance says to check all AI-generated content before publishing. An unedited draft also contains nothing from you, and that's the part readers came for.
Which AI tool should I use?
Any capable model will draft a section. The workflow matters more than the tool. If you want options that don't ask for an email address, see free AI writing tools with no signup.
