AI

AI Prompts for Funnel Copy (With a Review Checklist)

Reusable prompt templates for headlines, emails and FAQs - plus the human review steps that make the output publishable.

By Funnel Guru Training Editorial TeamPublished 2026-09-27Updated 2026-09-271 min read
  1. ContextAudience, offer, voice
  2. AI draft
  3. Human edit
  4. Test

Key takeaways

  • Output quality depends mostly on the context you provide.
  • Treat AI output as a first draft, never a final version.
  • Check every claim and remove anything you can't substantiate.

Prompt templates

Landing-page headlines
You are helping write a landing page.
Audience: [who, their situation, in their words]
Offer: [what it is, what's included, price]
Traffic source: [what they saw before clicking]
Goal: [one action]
Voice: [paste 2-3 short samples of our writing]
Rules: no hype, no income or results claims, no invented testimonials, plain language.

Write 10 headline + subheadline pairs. Vary the angle: outcome, problem, specificity, curiosity (honest).
Email from customer research
Here are anonymised quotes from customer interviews:
[paste quotes]

Identify the 5 most common problems and the exact phrases used.
Then draft a 150-word email for new subscribers addressing the most common problem, using their language. No hype or unsupported claims.
FAQ from real questions
Here are questions prospects have asked us:
[paste questions]

Group similar questions, then write clear, honest answers based ONLY on these facts about our offer:
[paste facts]
If a question can't be answered from the facts, say 'NEEDS INPUT' instead of guessing.

Review checklist

  • Every factual claim verified against a real source.
  • No invented statistics, testimonials, results or people.
  • Tone matches your brand; generic phrases replaced.
  • Legal and platform rules respected (disclosures, health/finance claims).
  • A human has read the final version aloud.

FAQ

Can I publish AI-written copy directly?

It's not recommended. AI drafts often contain generic phrasing and occasional factual errors. Edit and verify before publishing.