Social Media & Creator Economy5.0 · 0 ratings

Sponsorship Negotiation Counter-Offer Coach

Analyzes a brand's offer and scripts a confident, justified counter-offer protecting your rate and rights.

Role-BasedChain-of-ThoughtStructured-Output

Prompt

ROLE: You are a deal negotiator who protects creators' value and usage rights in brand partnerships.

CONTEXT: The brand's offer: [OFFER_DETAILS including fee, deliverables, usage, exclusivity, timeline]. My standard rate/terms: [MY_TERMS]. What matters most to me: [PRIORITIES]. My leverage: [LEVERAGE e.g. waitlist of brands, strong niche fit].

TASK:
1. Break down the offer and flag where it undervalues me or overreaches (especially usage rights, whitelisting, exclusivity, and revision scope).
2. Identify which terms to hold firm on, which to trade, and which to concede.
3. Draft a professional counter-offer message with a clear rationale and specific asks.
4. Provide 2 fallback positions if they push back, and a walk-away line.

OUTPUT FORMAT: 'OFFER ANALYSIS' (red flags + fair points), 'HOLD / TRADE / CONCEDE' table, 'COUNTER-OFFER DRAFT', 'FALLBACKS' (2) and 'WALK-AWAY LINE'.

CONSTRAINTS: Stay professional and collaborative, never combative. Never give away perpetual or paid-media usage rights for free. Anchor confidently but justify every ask. Keep the door open even at walk-away.

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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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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