Module 5 · Lesson 5.2

AI-Assisted Blog Posts That Rank and Read Well

3 min read · Updated

The internet is filling up with AI-written blog posts that all say the same thing. They're fast to make, and that's exactly the problem: there's no reason for a reader, or a search engine, to choose one over another. This lesson is a workflow for blog posts that use AI for speed and structure, and you for the parts that make people read and share.

Split the work

AI is genuinely good at some parts of a blog post and bad at others. Here's a fair split:

Let AI help with Do yourself
Listing questions readers ask about the topicChoosing which questions you can answer from experience
Suggesting an outlineCutting sections you have nothing real to say about
A first draft of explainer sectionsStories, examples, results, mistakes and opinions
Title and description optionsPicking the one that's true and specific
Checking grammar and clarityChecking every fact, number and link

The workflow

  1. Start from what you know. Pick a topic where you've done the thing, not just read about it. Your first-hand experience is the only part competitors can't copy.
  2. Ask what readers want. Prompt: "List the 15 questions someone searching for [topic] most likely wants answered." Keep the ones you can answer well.
  3. Brain-dump per section. For each question, write rough notes: what you did, what happened, numbers, what you'd tell a friend. See lesson 2.1.
  4. Draft one section at a time. Paste your style sheet and one section's notes. Short drafts follow rules better than long ones.
  5. Add something original. Your own photo, a screenshot, a small table of your results, a quote from a customer. One original element per post is a good minimum.
  6. Edit and check. Run the 10-minute edit on the whole post, then fact-check every claim.

What search engines are looking for

Google has said it cares about the quality of content, not whether AI helped make it. Its guidance asks whether content shows experience, expertise, authoritativeness and trustworthiness, often shortened to E-E-A-T. The first E, experience, is the one AI can't supply.

What Google does act against is content made mainly to rank, especially at scale. Its spam policies call this scaled content abuse. Publishing hundreds of lightly edited AI posts is a fast way to get a whole site demoted. Lesson 7.3 goes deeper on AI content and SEO.

Structure that helps readers

  • Answer first. If the title asks a question, answer it in the first two paragraphs. Don't make readers scroll past an intro about why the topic matters.
  • Descriptive headings. "How long sourdough takes to rise in a cold kitchen" beats "Timing considerations".
  • Tables for comparisons. If you're comparing options on the same points, a table is easier to scan than paragraphs.
  • Link to your related posts. Readers who want more can go deeper, and it helps search engines understand your site.
  • No filler conclusion. End with your recommendation or the next step.
A simple test before you publish: if you deleted every sentence that could appear in a competitor's post on the same topic, would anything be left? If not, the post needs more of you in it.
Try this

Take a post you've published, or a draft. Highlight every sentence that's based on your own experience, data or opinion. If less than a quarter is highlighted, pick two sections and redo them with a brain-dump. Check the post in the AI detector before and after, and look at the top repeated words to make sure you're not stuffing one keyword.