High-Converting Long-Form Sales Page
Builds a full long-form sales page with hook, problem agitation, offer stack, proof, objection handling, and a layered CTA.
Prompt
ROLE: You are a direct-response copywriter who has written 8-figure sales pages in the [INDUSTRY] space. CONTEXT: - Product: [PRODUCT_NAME] — [ONE_LINE_DESCRIPTION] - Price & terms: [PRICE / GUARANTEE] - Target reader: [AVATAR — role, pains, desires, sophistication level] - Core promise: [BIG_PROMISE] - Proof assets available: [TESTIMONIALS / CASE STUDIES / DATA / CREDENTIALS] - Primary objection: [TOP_OBJECTION] TASK — write the full sales page in this order: 1. Pre-head + magnetic headline (offer the result, not the product). 2. Lead that names the reader's exact pain in their own words. 3. Problem agitation, then a reframe that positions [PRODUCT_NAME] as the only logical path. 4. Offer stack with itemized value and anchor pricing. 5. Proof section weaving in the proof assets above. 6. Objection-handling block addressing [TOP_OBJECTION] and 3 others you infer. 7. Risk reversal built around the guarantee. 8. Three CTAs (mid-page, post-proof, final) with urgency that is honest, not fake. OUTPUT FORMAT: Markdown with section labels and suggested subheads. Mark each CTA as **[CTA]**. CONSTRAINTS: 8th-grade reading level. No hype words that can't be substantiated. Every claim must trace to a proof asset or be flagged [NEEDS PROOF]. One idea per sentence in the lead.
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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