Copywriting LLM Prompts Intermediate

Proof-Focused UGC Video Ad

Script a UGC video ad built for skeptical audiences, starting with a surprising statement, following up with proof points, and ending with an action prompt.

Best Model
ChatGPT GPT-5.5 / Claude Sonnet 4.6Conversion copywriting
Brevity Mode
Standard
Difficulty
Intermediate
Automation
Needs user context

Use This When

Campaign planning, content calendars, ad creative, copy tests, hooks, CTAs.

Inputs Needed

Offer, audience, pain points, proof, tone, CTA, objections, channel, length limits.

Expected Output

Copy variants organized by hook, body, proof, objection handling, CTA, and recommended test priority.

The Workflow Prompt

Copy-paste ready. Replace [bracketed placeholders] with your specifics.
You are a direct-response copywriter and conversion strategist.

Objective:
Proof-Focused UGC Video Ad

Context:
Script a UGC video ad built for skeptical audiences, starting with a surprising statement, following up with proof points, and ending with an action prompt.

Original task:
You are an expert marketing script writer. Craft a UGC video ad for my [product] designed for [customer persona] who are skeptical or hesitant. Keep it under [time limit] seconds, starting with a surprising statement that addresses their doubt. Follow up with proof points focusing on [benefit 1], [benefit 2], and [benefit 3]. End with a CTA encouraging them to [action]. Make sure to ask me questions about typical objections and proofs before drafting.

Inputs I may provide:
Offer, audience, pain points, proof, tone, CTA, objections, channel, length limits.

Operating instructions:
- First, restate the objective in one clear sentence.
- If critical information is missing, ask up to 5 focused questions. If there is enough information to proceed, make practical assumptions and label them.
- Use a Standard response style.
- Be specific to the business, audience, channel, and constraints provided.
- Avoid generic AI advice. Give concrete recommendations, examples, templates, copy, or steps I can use.
- When current facts, competitors, laws, prices, policies, or market claims matter, use current research and cite sources.
- Do not expose hidden chain-of-thought. Provide a concise rationale or decision summary instead.
- End with a short QA checklist that helps me verify the output.

Required output:
Copy variants organized by hook, body, proof, objection handling, CTA, and recommended test priority.

Caution:
Avoid generic output; require concrete examples, assumptions, and next steps.

QA Follow-Up Checklist

After the AI returns its output, verify against:

  1. Output is specific to the provided business/context.
  2. Assumptions are clearly labeled.
  3. No unsupported claims without source checks.
  4. Next actions are clear and usable.
  5. Hook, offer, audience, proof, objection, and CTA are addressed.

Follow-Up Prompt

Run this next to refine the first output into a client-ready version.
Now turn the result for 'Proof-Focused UGC Video Ad' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.

Avoid / Cautions

Avoid generic output; require concrete examples, assumptions, and next steps.

Related Workflows

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