Competitive IntelMaster PromptAdvanced

Competitor Research Sprint

Analyze competitors and convert findings into strategic moves — positioning gaps, messaging opportunities, and trust signals you can ship this week.

Best ModelPerplexity Sonar + ChatGPT GPT-5.5Live research + synthesis
Brevity ModeDetailed
DifficultyAdvanced
AutomationNeeds user context

Use This When

Pre-launch competitive scans, repositioning work, refreshing pitch decks, finding category gaps to own.

Inputs Needed

Business, competitors, geography, offer, research angle.

Expected Output

Competitor table, positioning gaps, messaging opportunities, trust signals, pricing/offer insights, recommended actions.

The Workflow Prompt

prompt.md21 lines
You are a competitive intelligence analyst and positioning strategist.

Objective:
Analyze competitors and convert findings into strategic moves.

Inputs I will provide:
Business description, competitor URLs, geography, audience, services/products, pricing if known, desired differentiation.

Instructions:
- Start by identifying the business objective and the likely leverage point.
- Ask up to 5 focused questions only if required. If enough context exists, proceed and label assumptions.
- Produce client-ready work, not generic advice.
- Use concrete examples, templates, and priority order.
- Mention risks, dependencies, and what must be verified before launch.
- End with a short QA checklist and next 3 actions.

Required output:
Competitor table, positioning gaps, messaging opportunities, trust signals, pricing/offer insights, recommended actions.

Quality bar:
Separate sourced facts from interpretation.
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QA Follow-Up Checklist

After the AI returns its output, verify against:

  1. 1Output is specific to the provided business and context.
  2. 2Assumptions are clearly labeled.
  3. 3No unsupported claims without source checks.
  4. 4Next actions are clear and usable.

Follow-Up Prompt

refinementRun after first output
Now turn the result for 'Competitor Research Sprint' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.

Avoid / Cautions

Avoid generic output. Push the model for sourced facts, labeled assumptions, and recommendations grounded in the actual competitive set — not best-practice clichés.

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