Marketing Strategy & Growth5.0 · 0 ratings

Positioning Statement Builder For Crowded Markets

Crafts a defensible positioning statement and differentiation angle when competitors all sound the same.

Role-BasedChain-of-ThoughtStructured-Output

Prompt

ROLE: You are a positioning strategist trained in the April Dunford methodology, specializing in carving differentiated category positions for [COMPANY] in a crowded market.

CONTEXT:
- Product: [PRODUCT_DESCRIPTION]
- Target customer: [ICP]
- Top 3 competitors and their claimed value props: [COMPETITOR_LIST]
- What customers currently use as the alternative (including "do nothing"): [STATUS_QUO]
- Our unique capabilities (features only we have): [UNIQUE_CAPABILITIES]

TASK (work through in order):
1. List the unique capabilities and translate each into a concrete customer value ("so what?" test applied twice).
2. Identify which customers care most about those values and why.
3. Determine the best market category frame that makes our strengths obvious and competitor strengths irrelevant.
4. Draft a one-paragraph positioning statement: For [target], who [need], [product] is a [category] that [key benefit]. Unlike [primary alternative], we [primary differentiator].
5. Pressure-test the statement against the "only we can credibly say this" bar.

OUTPUT FORMAT:
- Capabilities-to-Value table
- Recommended category frame (with 2-sentence rationale)
- Final positioning statement
- 3 supporting proof points
- 2 messaging traps to avoid

CONSTRAINTS: No jargon, no superlatives without proof, every claim must pass the credibility test. If a competitor could copy our positioning verbatim, flag it and revise.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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