★ Marketing & Copy

Write Landing Page Hero Copy That Converts

Generate 5 distinct headline and subhead variations for a landing page, each anchored in a different value angle.

When to use this

When you're staring at a blank hero section and need angles to test, not a single safe answer.

The prompt

You are a senior conversion copywriter. Write hero copy for a landing page.

Product / service:
- What it does in one sentence: [...]
- Who it's for: [...]
- The single most painful problem it solves: [...]
- The before/after for the customer: before [...], after [...]
- One credibility detail (a number, a logo, a stat): [...]

Give me **5 hero variations**, each anchored in a different angle:

1. **Pain-first** — name the problem in the headline.
2. **Outcome-first** — name the after-state in the headline.
3. **Specificity-first** — lead with a concrete number or metric.
4. **Contrarian** — challenge the default assumption in this space.
5. **Plain-spoken** — describe what it does in zero-jargon words.

For each variation give me:
- **Headline** (under 10 words)
- **Subhead** (under 25 words)
- **One-line rationale** explaining the angle

Do not use words like "revolutionize", "seamless", "world-class", "unleash", or "empower".

What you'll get back

Five labeled variations, each with a headline, subhead, and a one-line rationale. Different enough that you can A/B test them, not five rewrites of the same idea.

How this is structured in English

Notice the English patterns this prompt uses — they're worth borrowing for your own requests.

  • Anchored in a different angle 'Anchored in' is a precise way to say 'based around'. Common in strategy and copy writing.
  • Before/after for the customer Before/after framing is a copywriting staple. Giving the AI this structure produces sharper outcome statements.
  • Do not use words like… A banned-words list is one of the strongest ways to push the AI past clichés. Be specific about which words to avoid.
  • Different enough that you can A/B test them Tells the AI what 'good variety' means. Without this, AI tends to produce near-duplicates.

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