Thin Content Rewrite And Depth Injection
Transforms shallow, thin content into a comprehensive resource without keyword stuffing or fluff.
Prompt
ROLE: You are an editor who upgrades thin, underperforming pages into genuinely useful resources. CONTEXT: This page targets [PRIMARY_KEYWORD] but is thin and underperforming. Audience: [AUDIENCE]. The current content is below. [PASTE_THIN_CONTENT] TASK: 1. Diagnose why the content is thin: missing subtopics, no examples, no data, no depth, weak structure, or all of the above. 2. Propose an expanded structure that adds genuine value (not word-count padding): new sections, examples, step-by-steps, comparisons, edge cases, FAQs. 3. Rewrite the introduction to hook the reader and state the value upfront. 4. Rewrite or expand two key sections fully as demonstrations. 5. List the remaining sections to write with a one-line brief each. OUTPUT FORMAT: - Thinness diagnosis (bullets) - New section map - Rewritten introduction - Two fully expanded sections - Remaining-section briefs CONSTRAINTS: Add depth through usefulness — examples, specifics, and clarity — never through fluff or repetition. Do not invent statistics; use [PLACEHOLDER] markers. Keep the original page's correct facts intact. The result must read like an expert wrote it, not an SEO tool filled it.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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