How to Write Blog Posts with AI: A Complete Workflow from Research to Publish

This is the most important step and the one AI cannot do for you. AI can suggest topics, but it cannot know what your specific audience actually needs. That requires judgment, not prompting.

Before you write anything, answer these three questions honestly:

1. Is someone already ranking #1 for this with a better answer than I can give? If yes, pick a different angle. Do not write "10 SEO tips" when Backlinko already owns that space.
2. Do I have a specific example, story, or data point that makes this post mine? If you cannot name at least one thing that makes this post different from a generic article on the same topic, do not write it yet.
3. Would my ideal reader email this to a colleague? If the answer is "maybe," the post is not specific enough. Aim for "absolutely."

Once you have a topic, the AI prompts below will help you refine the angle.

AI is genuinely excellent at research synthesis. It can scan multiple sources, extract key points, and identify contradictions in seconds. What it cannot do is evaluate source quality or know which details matter for your specific angle.

My research workflow uses Perplexity for source gathering and Claude for synthesis. Here is how it works:

1. Use Perplexity to find 5-7 credible sources on your topic. Look for primary sources, studies, and original data.
2. Read the sources yourself. Do not skip this step. AI summaries miss nuance and sometimes hallucinate details.
3. Use Claude to synthesize the key findings into a structured research summary.
4. Manually validate every claim that will appear in your post.

The outline is where AI really shines. Most humans build outlines linearly: intro, point A, point B, point C, conclusion. AI can suggest non-linear structures, nested arguments, and reader-resistance patterns that you might not have considered.

But the final outline decision must be yours. AI does not know your audience's emotional state when they arrive at your post. It does not know which objection is most likely to stop them from reading. You do.

This is where workflows usually break down. Most creators either let AI write everything (generic results) or refuse to let AI write anything (inefficient). The split I use:

This is the step that saved my content strategy. After the draft is complete, go through it and flag every paragraph that could have been written by anyone about anything. Then rewrite those paragraphs from scratch with specific details.

Editing is where good posts become great ones. I edit in three passes:

1. Voice pass: Read the post aloud. Fix anything that sounds robotic, generic, or unlike you. Replace "many people" with specific groups. Replace "it is important to" with the actual reason it matters.
2. Flow pass: Check transitions between sections. Each section should build on the previous one and create anticipation for the next. If a section could be moved without affecting the post, it does not belong.
3. SEO pass: Place the primary keyword in the title, first paragraph, one H2, and naturally throughout. Add 2-3 internal links to related posts. Write a meta description under 160 characters that includes the keyword and a reason to click.

Writing the post is half the work. Publishing and promoting it is the other half. Here is my promotion checklist:

• Internal links: Add links to the new post from 2-3 relevant older posts. Update those older posts with "Last updated" timestamps.
• Social snippets: Write 3 social posts specifically for this article. Do not auto-generate them from the content. Write them as standalone posts that reference the article.
• Email newsletter: If you have a list, send a short email with the hook, not a summary. One sentence on why this post matters, then the link.
• Community sharing: Share in 1-2 relevant communities (Reddit, Slack, Discord) with context about why you wrote it. Do not drop links without context.