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Create an SEO-Optimized Blog Post Outline

Generate a complete SEO-ready blog outline with title, meta, headings, and PAA questions.

Optimized for
ChatGPTClaude
§ When to use this

This prompt turns a single target keyword into a publish-ready blog outline that maps directly to what searchers want. It bundles the on-page SEO scaffolding (title tag, meta description, heading hierarchy) with intent research (People-Also-Ask questions) and internal linking, so a writer can move straight from outline to draft. The structure is numbered because each element feeds a different part of a CMS, and the word-count target keeps the outline scoped to a single rankable piece rather than an unfocused mega-post.

§ The Prompt— fill in the fields, then copy or open in a tool
§ Customize0/1 fields filled
your prompt — fill the fields above
You are an SEO content strategist. Create a blog post outline targeting the keyword '[PRIMARY KEYWORD]'. Include: (1) an SEO title under 60 characters, (2) a meta description under 155 characters, (3) an H1, (4) H2s and H3s covering search intent, (5) 3-5 questions to answer from People-Also-Ask, (6) suggested internal link anchors. Target word count: 1,500-2,000.
Open with your prompt →ChatGPTClaudeSends your filled-in prompt straight into a new chat.
§ Example Output

What you can expect back

SEO Title (57 chars): Best Standing Desks for Small Apartments (2026 Picks)

Meta Description (151 chars): Tight on space? See the best compact standing desks for small apartments, with footprint specs, price ranges, and setup tips to fit any nook.

H1: The Best Standing Desks for Small Apartments

- H2: What Makes a Standing Desk 'Apartment-Friendly'
  - H3: Footprint and minimum clearance
  - H3: Foldable vs. fixed frames
- H2: Our Top Compact Standing Desk Picks
  - H3: Best overall under 30 inches wide
  - H3: Best budget wall-mounted option
- H2: How to Set One Up in a Studio

People-Also-Ask:
- Are standing desks worth it in a small space?
- What is the smallest standing desk size?
- Can a standing desk fit in a bedroom?

Internal link anchors: 'ergonomic chair guide', 'small-space office setup', 'standing desk mat reviews'

Illustrative example — your results will vary by tool and inputs.

§ Pro Tips

Get sharper results

  • 01Paste in the actual top 3 ranking URLs for your keyword and ask the model to identify subtopics they all cover so your outline matches proven intent rather than guesses.
  • 02Ask for the search intent classification (informational, commercial, transactional) before the outline, because it changes whether H2s should educate or compare.
  • 03Have the model flag which H2 is the best target for a featured snippet and format that section as a 40-55 word definition or a numbered list.
  • 04Request internal link anchors as descriptive phrases rather than 'click here' so the anchor text itself carries keyword relevance.
  • 05If your site already ranks for related terms, list them so the model can recommend topic clusters and avoid keyword cannibalization.
§ Variations

Adapt it for your case

Pillar page outline

Raise the word count to 3,000-4,000 and ask for 6-8 H2 clusters that each link out to a supporting subtopic article.

Comparison / listicle format

Tell it the post is a 'best X' roundup and request a consistent H3 sub-template (verdict, pros, cons, price) repeated per item.

Local SEO variant

Add a city or region to the keyword and ask for location-specific H2s plus a 'near me' PAA cluster.

Best For — Roles
Use For — Tasks
Tags#seo#content#blog
§ FAQ

Common questions

Will this outline actually help me rank?

It gives you a strong intent-aligned structure, but ranking also depends on content quality, backlinks, and site authority. Treat the outline as a starting blueprint, not a guarantee.

Should I use the title and meta exactly as written?

Verify the character counts in your CMS or a SERP preview tool since rendering varies, and tweak wording to match your brand voice before publishing.

How does it know the People-Also-Ask questions?

The model predicts likely PAA-style questions from training data; for accuracy, confirm them against a live Google search or a keyword tool before committing.

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