| name | seo-aeo-blog-writer |
| description | ALWAYS use this when the request matches SEO AEO Blog Writer: Writes long-form blog posts with TL;DR block, definition sentence, comparison table, and 5-question FAQ for SEO ranking and AEO citation. |
SEO-AEO Blog Writer
Selective Reading Rule
Start with:
references/senior-master-standard.mdreferences/usage-routing.mdreferences/quality-checklist.md
Then load only the inherited docs, scripts, assets, or examples that match the user's actual task.
Overview
Writes structured long-form blog posts (800–3000 words) that satisfy both SEO ranking signals and AEO citation requirements. Every post includes a TL;DR direct-answer block, a definition sentence, structured H2/H3 hierarchy, a comparison table where relevant, and exactly 5 FAQ entries written for AI extraction.
Part of the SEO-AEO Engine.
When to Use This Skill
- Use when writing a cluster article from a content cluster map
- Use when creating a long-form guide to build topical authority
- Use when you need content that can be cited by AI engines like Perplexity or ChatGPT
- Use when you need a blog post that follows a consistent, auditable structure
How It Works
Step 1: Write the TL;DR Block First
Write a 2–3 sentence direct answer to the article's core question. Place it immediately after the H1 in a blockquote. This is the first block AI engines attempt to extract.
Step 2: Build the Heading Skeleton
Set H1, H2s (4–6), and H3s before writing any body content. The first H2 must be a "What Is" section with a clean definition sentence as its opening line.
Step 3: Write Body Sections
Follow the section order: What Is → Why It Matters → How It Works (with H3 sub-concepts) → Practical Steps → Common Mistakes → FAQ → Conclusion.
Step 4: Write 5 FAQ Entries
Use long-tail and secondary keywords as questions. Each answer must be under 50 words and self-contained — readable without any surrounding context.
Step 5: Run AEO and SEO Checklists
Verify TL;DR presence, definition sentence, FAQ count, keyword placement, and heading structure before outputting.
Examples
Example: TL;DR Block
How to Manage a Remote Engineering Team
TL;DR: Managing a remote engineering team requires async
communication tools, clear documentation standards, and
timezone-aware sprint planning. Teams that nail these three
areas ship consistently regardless of where members are located.
Example: FAQ Section
Q: What is the biggest challenge of remote engineering teams?
A: Async communication. Without shared hours, decisions slow down
and context gets lost. Teams that document decisions in writing
and use structured standup tools close this gap fastest.
Q: How do you run a daily standup with a remote team?
A: Use async video or text standups posted at the start of each
member's day. Tools like Loom or Slack threads work well.
Avoid live calls across more than 2 timezones.
Best Practices
- ✅ Do: Write the TL;DR block before writing anything else — it anchors the article
- ✅ Do: Make the "What Is" definition sentence extractable on its own — one clean sentence
- ✅ Do: Use secondary keywords as FAQ questions to capture long-tail traffic
- ❌ Don't: Write FAQ answers longer than 50 words — AI engines skip long answers
- ❌ Don't: Use duplicate H2 headings anywhere in the article
- ❌ Don't: Skip the comparison table if the topic involves comparing options
Common Pitfalls
-
Problem: TL;DR block is too vague to be extracted as a direct answer
Solution: The TL;DR must answer the article's core question in 2–3 sentences. If it doesn't answer a specific question, rewrite it.
-
Problem: FAQ answers reference "as mentioned above" or other context
Solution: Every FAQ answer must stand completely alone — no references to other parts of the article.
Related Skills
@seo-aeo-content-cluster — provides the topic and keyword for this article@seo-aeo-content-quality-auditor — audits the completed post for SEO and AEO signals@seo-aeo-internal-linking — maps links between this post and related pages
Additional Resources
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
