Ten steps. One complete pillar blog post. And it’s all prompts you can copy right now.
Most AI content workflows hand you a skeleton and leave you to fill in the meat. You get a prompt for an outline, maybe one for a draft, and then you’re on your own. That’s not a system. This is different. A Reddit user in r/PromptEngineering just shared a full prompt chain that walks an AI from brand setup to final Markdown output. No half-built frameworks, no “figure out the rest yourself.” The chain covers persona setup, audience research, competitive analysis, headline brainstorming, outline creation, intro writing, core content, CTA, SEO metadata, and final assembly. Every step feeds the next. The output is a pillar post that’s actually ready to publish, not a rough draft you spend hours cleaning up.
The twist is step 3. Most writers jump straight to outlines. This chain first runs a competitive analysis of the top 3, 5 results for your keyword, identifies what’s missing in existing content, and uses that gap to lock in a unique angle. Everything written after that point builds on that angle. That’s not how most people use AI for content. It’s how editors think. When you skip this step, you end up with a competent post that says exactly what every other post on that topic already says. When you run step 3 first, you find the one angle that the top-ranking content ignores, and you build the entire post around owning that gap. The difference in output quality is significant.
The 10-step workflow:
- 🎯 Setup & Persona: Feed the AI your brand, topic, audience, keyword, tone, and CTA URL. Be specific here. Vague setup produces vague output. Include your brand’s point of view, not just your niche. Get a confirmation before moving on so the AI has a chance to flag anything that’s unclear.
- Audience Deep Dive: Build a detailed reader persona covering goals, challenges, and what they want to learn. Go beyond demographics. Ask the AI to describe the reader’s current frustration, what they’ve already tried, and what a successful outcome looks like for them. This guides every decision that follows.
- 🔍 Competitive Analysis: Analyze the top 3, 5 results for your keyword. Find the angle others missed. Ask specifically what questions the existing content fails to answer, what objections it ignores, and what format would serve the reader better. This is the step that changes the output. A good analysis here might reveal that every top result focuses on beginners while intermediate users are completely underserved. That’s your angle.
- Headline Brainstorm: Generate 7 high-CTR headlines under 60 characters. Have the AI pick the strongest one and explain the reasoning. The reasoning matters because it tells you whether the headline is built around the gap you found in step 3 or drifting back to generic territory.
- Outline: Multi-layer structure (H1, H2s, H3s) built on the winning angle. Each H2 should address one clear reader question. If the outline could apply to any post on the topic, it’s not specific enough yet.
- Hook & Intro: 150-word intro starting from the reader’s core challenge. The intro should make the reader feel understood before it promises anything. Lead with the problem, not the solution.
- ✍️ Core Content: Full body copy, 1,500, 2,000 words, scannable and practical. Instruct the AI to include specific examples, not hypothetical ones. Generic examples are where pillar posts lose credibility.
- Conclusion & CTA: Key takeaways plus a natural transition to your CTA URL. The takeaways should map directly back to the unique angle locked in step 3. This creates a coherent arc from opening promise to closing payoff.
- SEO & Social: Meta title, description, tags, a Twitter/X snippet, and a LinkedIn post. Having the AI generate these from the completed content rather than the brief produces tighter copy that actually reflects what’s in the post.
- Final Assembly: Everything merged into one clean Markdown document, ready to publish.
Pro tip: Run steps 1, 3 before committing to the full chain. If the competitive analysis in step 3 doesn’t surface a clear content gap, the keyword is the problem, not the prompts. A keyword with no gap means the content landscape is already saturated with strong posts. Pick a more specific long-tail variant and run step 3 again before writing a single word.
Pro tip: Steps 1 and 2 are not just setup. The persona from step 2 is the filter for every content choice that follows. Write it like it matters, because it is the foundation the rest of the chain stands on. If you’re tempted to rush through it, paste in a customer review or a forum post from your target reader instead of writing the persona from scratch. Real language from real people produces a sharper persona than anything you’d generate from a blank prompt.
The copy-paste across 10 rounds gets tedious fast. There’s a Chrome extension called PromptFlow Pro built to automate the full chain inside ChatGPT, Claude, or Gemini. Worth knowing it exists. But run it manually at least once so you see what each step actually produces, and why step 3 shifts the entire direction of the post. The manual run also shows you where the chain needs adjusting for your specific niche. Once you’ve seen the output at each stage, you’ll know exactly which steps to tighten before you automate anything. 🚀
Frequently Asked Questions
Q: Doesn’t this 10-step process become tedious with all the copy-pasting?
Yes, that’s a legitimate friction point. The commenter who uses this approach solved it by moving to a structured pipeline where each stage flows into the next automatically (via a local app or tool integration), rather than manual copy-paste between prompts. Game-changer: you focus on comparing variations and refining rather than logistics.
Q: Should I compare multiple headline or outline variations, or just use the first output?
Compare them. Users report that generating 2, 3 versions of titles, outlines, or sections, then picking the strongest before moving forward, significantly improves final quality. It catches better ideas early and prevents settling for the first decent output.
Q: Is it better to optimize the prompts or redesign the workflow?
Workflow beats prompts. While better prompts help, structuring the pipeline so outputs feed cleanly into the next stage and you can edit/compare at checkpoints unlocks bigger gains. Once the flow is solid, the prompts themselves become more powerful. Consider tool automation before tweaking individual prompts further.
I use this 10-step AI prompt chain to write full pillar blog posts from scratch
by u/Emergency-Jelly-3543 in PromptEngineering