Copywriting LLM Prompts Easy

Content-Driven Keyword Ideation

Suggest topic-aligned keywords for blog posts by analyzing user intent, content categories, brand tone, and desired word counts.

Best Model
ChatGPT GPT-5.5 / Claude Sonnet 4.6Conversion copywriting
Brevity Mode
Detailed
Difficulty
Easy
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:
Content-Driven Keyword Ideation

Context:
Suggest topic-aligned keywords for blog posts by analyzing user intent, content categories, brand tone, and desired word counts.

Original task:
You are an expert in content-driven keyword research. I plan to write blog posts for [topic], and I need topics that align with user intent. Ask me about the categories I want to cover, brand tone, and typical word count.

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 Detailed 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 'Content-Driven Keyword Ideation' 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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