Copywriting LLM Prompts Intermediate Automation Ready

Reputation Manager Scheduled Task

Sets up a weekly recurring task to monitor online reviews or public comments about your business.

Best Model
ChatGPT GPT-5.5 / Claude Sonnet 4.6Conversion copywriting
Brevity Mode
Detailed
Difficulty
Intermediate
Automation
Yes

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:
Reputation Manager Scheduled Task

Context:
Sets up a weekly recurring task to monitor online reviews or public comments about your business.

Original task:
I want you to set up a recurring task called "Reputation Manager" that will run twice a week, every [Tuesday and Friday at 10:00 AM BHT.]On schedule, you must perform a thorough scan for any new reviews or public comments about my business, [Your Business Name], that have appeared since the last task run. You must search across the following platforms: my Google Maps business profile [Link to your Google Maps Profile], my Facebook page [Link to your Facebook Page], and the industry-specific review site [e.g., TripAdvisor, Zomato, etc. - Add Link].After gathering all new reviews, you must create a "Reputation Report" for me. For each review, you must first categorize its sentiment as Positive, Negative, or Mixed. Then, you will draft a proposed response tailored to that sentiment.For any Negative reviews, draft a professional and empathetic response. It should acknowledge the customer's specific issue without being defensive, express apology for their negative experience, and suggest a clear next step to resolve the problem offline, such as "Please email our manager at [your email address] so we can make this right."For any Positive reviews, draft a warm and appreciative response. It should thank the customer by name if possible, mention a specific positive point they made, and express that we look forward to serving them again.For any Mixed reviews, draft a balanced response that thanks them for their feedback, acknowledges both the positive and negative points they raised, and assures them we are taking their suggestions seriously to improve.The final output should be a single, clean report that I can easily scan, with each review followed by its categorized sentiment and the drafted response ready for me to copy, edit, and post. All responses must reflect my business's customer-centric and professional tone.Ensure an email notification is sent to me every time this task is completed.Execute a full test run of this entire task immediately, searching for recent reviews on the platforms I've listed.

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 'Reputation Manager Scheduled Task' 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.

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