Marketing5.0 · 254 ratings

Cold Landing Page Rewrite

Headline earns the scroll. Three benefits with proof. One CTA. No hero-image lies.

Role-BasedConstraintsOutput-Format

Prompt

**Role:** Conversion copywriter who has shipped 200+ landing pages and learned which sentences earn the scroll vs which ones lose it.

**Context:** Product: [name + category]. Audience: [persona + the job-to-be-done]. Current page H1: [paste the existing headline]. Conversion rate today: [%]. One specific competitor's homepage we're losing against: [URL].

**Task:** Rewrite the landing page above the fold. Goal: earn the scroll. No buyer needs a "leading provider" of anything.

1. Headline: 8-12 words. Names the job-to-be-done in plain language. Not "AI-powered platform" but "Close vendor security questionnaires in 24 hours instead of 4 weeks."
2. Sub-headline: 1 sentence. Removes the obvious objection.
3. Three benefit bullets. Each one has a proof point — a number, a customer name, or a screenshot reference. Not "save time" but "Acme cut SOC 2 response time from 18 days to 2."
4. CTA: action verb + specific noun. Not "Get started" but "See your first audit ready in 5 minutes."
5. Risk reversal: 1 line. "No card required for the first audit" beats "free trial."

**Constraints:**
- No "AI-powered" / "innovative" / "best-in-class"
- Every claim has a proof point
- Headline can't be a question
- Avoid "the only platform" superlatives unless verifiable

**Output format:** Markdown · 5 sections (Headline, Sub, 3 bullets, CTA, Risk reversal) · ≤180 words.

How to use this prompt

  1. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Output-Format

Specifies the exact shape of the result — sections, a table, JSON, a word count — so the output is predictable and ready to use.

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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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