Some people feel really strongly about the use of AI, and almost every conversation about AI and blogging gets stuck on the same question: should you let AI write your posts for you?
Your blog is where your readers get to know your voice, your thinking, and your personality. Hand all of that to AI, and readers can usually tell. Yes, you can train AI to learn your voice, but many people don’t, and end up with articles that sound like they were written by a machine.
Your blog isn’t just words on a page: it’s your voice, your vision, and your value. In today’s fast-paced digital world, content that truly connects isn’t written: it’s crafted, curated, and cultivated. Whether you’re a first-time author, a seasoned expert, or a busy entrepreneur, the right post can inform, inspire, and ignite. So don’t just publish. Position yourself, and prosper.
See what I mean?
But writing the post is only one job out of many. There’s a whole cluster of tasks around your writing that eat up your time, and those are the ones where AI is great. You can keep every word in your own voice and still save yourself time.
Here are eight ways you can use AI to support your blogging, none of which involve letting it write the actual post.
1. Brainstorming keywords and the questions your readers are asking
Before I write a post, I want to know what my readers are actually searching for. AI is a fantastic brainstorming partner for this. Give it your topic and ask for related keywords, common phrases, and the real questions people ask about that subject. In a couple of minutes, you’ll have a list far longer—and faster—than you’d come up with alone.
One caveat: AI does not know real search volumes, and it will happily make up numbers if you let it. Use it to generate ideas, then check the ones that matter against a real keyword tool. For Amazon, that’s Publisher Rocket. For blog search, it’s a proper keyword tool, like Semrush, Moz, or Google Keyword Planner.
2. Generating title options
Titles are hard (or do I just find them difficult?), and most of us get attached to the first one we think of, which is usually not the best one. AI is great at giving you options to choose from.
Paste in your draft or your main points and ask for fifteen title ideas, some straightforward, some curiosity-driven, some that lead with the keyword. I almost never use one as-is. But seeing fifteen angles helps me find the one that’s clear, compelling, and does its SEO job. You’re still the one choosing and polishing. AI just breaks the blank-page problem.
3. Turning your messy notes into an outline and headings
If you’re the kind of author who has a brain full of ideas but struggles to put them in order, this one is a gift.
Dump your rough notes, bullet points, or even a voice-memo transcript into AI and ask it to suggest a logical structure with headings. It will hand you back an outline you can rearrange to taste. It’s also good at spotting gaps: “you mention the problem but never give an example,” or “these two sections overlap.”
You write the actual content, but AI helps you see the shape of it first. I find this particularly useful, as I often forget to include the basics in a post.
4. Finding where to add internal links, and which ones
This is one of my favorites, because internal linking is so good for SEO and so easy to forget.
Here’s the trick that makes it work: AI can’t guess your published posts, and it will invent links if you let it. So give it a real list of your existing blog posts, titles and URLs, along with your new draft. Then ask it to point out where each internal link would fit naturally and which post to link to. You get a tidy list of “link this phrase to that post.” It makes it easy to interlink between blog posts, and also link to any podcast episodes or YouTube videos you might have.
5. Writing your meta description
The little SEO details at the bottom of the page are exactly the sort of thing that’s quick for AI and easy for us to rush.
Ask it to write a meta description in your target character count that includes your keyword and reads like a reason to click. This is a small task, but it adds up across a whole blog, and handing it off keeps you from cutting corners when you’re tired and just want to hit publish.
6. Building the FAQ from the questions your readers actually have
Adding a short FAQ to a post is one of the best things you can do for both search engines and the newer AI search tools, which love clear questions with direct answers. I also use frequently asked questions as subheadings on my blog posts, then I write a couple of paragraphs to answer each question.
Ask AI what questions someone would still have after reading your post, or what related questions people search for around your topic. Then answer the good ones in your own words. This ties in nicely with optimizing your content to be found and cited by AI search, which I’ve written about separately.
7. Turning one post into a week of social and email content
Writing the post is the big lift. Getting it in front of people is the part most authors run out of energy for, and AI is excellent at this stretch of the work.
Once your post is written, ask it to pull out three or four key ideas as social media posts, draft a short email to your list pointing people to the article, or suggest a subject line. You’ll tweak everything into your own voice, but starting from a draft is far faster than starting from nothing. One post can become a whole week of promotion.
8. A second pair of eyes for editing
This one isn’t writing; it’s editing, and there’s a difference. AI won’t replace a human editor, but it makes a useful first reader.
Ask it to flag sentences that are unclear, point out where you’ve repeated yourself, note jargon your reader might not know, or suggest where an example would help. You stay in charge of every change. Think of it as a tireless proofreading assistant that never gets bored on the third read-through. If you use Grammarly or ProWritingAid, you’re already using AI for editing. This is just a different approach to it.
A few rules for using AI this way
Used well, AI is a great assistant. Used carelessly, it creates work instead of saving it. A few rules keep you on the right side of that line:
- Verify anything factual. AI makes things up with total confidence, from statistics to search volumes to links. Trust nothing important without checking it.
- Feed it your real information. It can only suggest good internal links, accurate examples, or on-brand titles if you give it your actual posts, your real topic, and your real notes.
- You make the decisions. AI generates options and drafts. You choose, edit, and approve. It works for you, not the other way around.
AI is an assistant, not a ghostwriter
The best way I’ve found to think about AI and blogging is this: let it do the work around your words, and not craft the words themselves.
Keep writing your posts in your own voice, the voice your readers came for. Then hand the keyword brainstorming, the title options, the outline, the internal links, the meta description, the repurposing, and the first-pass editing to your AI assistant. You’ll publish more often, rank better, and still sound exactly like you.
If you’d like help setting up a blogging process that actually works for you, AI-assisted or not, book a Pick My Brain call and we’ll map out a plan that fits how you like to work. I’ll be honest about what’s worth your time and what isn’t.
