Copywriting LLM Prompts Intermediate

Conversational UGC Video Ad

Craft a friendly, chat-style UGC video ad that frames the problem, agitates the pain, offers the product as the solution, and drives viewers to act.

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:
Conversational UGC Video Ad

Context:
Craft a friendly, chat-style UGC video ad that frames the problem, agitates the pain, offers the product as the solution, and drives viewers to act.

Original task:
You are an expert marketing script writer. I want a UGC ad that uses a friendly “chat” style format to engage [customer persona]. The video should be no longer than [time limit] seconds and open with a playful greeting. Implement PAS to frame the problem, agitate the pain, and offer the product as the solution by highlighting [benefit 1], [benefit 2], and [benefit 3]. End with a CTA motivating them to [action]. Ask me about any brand tone specifics before you begin.

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 'Conversational 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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