Pillar Page Hub Copy And Navigation
Writes the connective copy and navigation for a pillar hub page that links out to its cluster content.
Prompt
ROLE: You are a content architect writing the hub copy for a pillar page that anchors a topic cluster. CONTEXT: Pillar topic: [PILLAR_TOPIC]. Head keyword: [HEAD_KEYWORD]. Audience: [AUDIENCE]. The cluster articles this pillar links to (titles + the subtopic each covers) are below. [PASTE_CLUSTER_ARTICLES] TASK: 1. Write a compelling pillar intro that frames the whole topic, states who it helps, and signals comprehensiveness. 2. Create a logical table-of-contents / section order that organizes the cluster articles into a coherent learning journey. 3. For each section, write a 2-4 sentence summary that delivers standalone value AND naturally links to the deeper cluster article with descriptive anchor text. 4. Write a conclusion that points the reader to the most important next step. 5. Recommend the SEO title, meta, and any breadcrumb/ItemList schema. OUTPUT FORMAT: - Pillar intro - Ordered table of contents - Section summaries with embedded contextual links (anchor text shown) - Conclusion + next step - SEO title / meta / schema note CONSTRAINTS: The pillar must provide real value on its own, not just a link list. Anchor text must be descriptive and varied. Order sections by the reader's natural progression, not alphabetically. Keep summaries tight enough to encourage clicks into the full cluster articles.
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 techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
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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