Writing · GPT Task
Create a Value Proposition and Promise
Turn an offer, audience problem, verified differentiators/proof, and claim constraints into a reusable value proposition, promise boundaries, reason-to-believe, message pillars, variants, and validation questions.
Context → structured prompt → explicit AI handoff
Runs in this browser. No upload by this page. External AI handoff is explicit. Review before sharing.
Configure task
Additional options
What you’ll need
- Offer or solution plus the audience problem and verified evidence that can support the value claim
- Offer, audience, and problem
- Verified evidence, differentiators, and proof
What you’ll get
- Evidence and claim inventory
- Audience problem/progress statement
- Core value proposition
- Promise boundary and conditions
- Reason-to-believe/proof map
Prompt preview
Review or edit the generated prompt before you copy it or explicitly open an AI chat.
ChatGPT opens with the current prompt prepared. Gemini copies the current prompt, then opens Gemini so you can paste it. Keep secrets and sensitive information out of URL-carried prompts.
Examples
1. Homepage value proposition
Context: A software team supplies a verified audience problem, real product capabilities, three proof points, one known limitation, and brand-language constraints.
Goal: Create a homepage-ready value proposition system.
Useful output: Evidence inventory, core proposition, promise boundary, reason-to-believe, pillars, five variants, warnings, and validation questions.
2. Sales-message framing
Context: A service business supplies its target buyer context, verified delivery outcomes it is allowed to state, differentiators, and claims it cannot make.
Goal: Create sales-message value framing without invented superiority.
Useful output: Core proposition, proof map, supporting bullets, variants, claim limits, and validation questions.
3. New positioning exploration
Context: A product team supplies a repositioning hypothesis, customer notes, verified capabilities, and large evidence gaps.
Goal: Explore advantage-framed propositions while preserving uncertainty.
Useful output: Supported-vs-hypothesis inventory, candidate propositions, proof requirements, prohibited claims, and a validation plan.
Expected output
- Evidence and claim inventory
- Audience problem/progress statement
- Core value proposition
- Promise boundary and conditions
- Reason-to-believe/proof map
- Supporting message pillars
- Requested number of variants
- Unsupported-claim warnings
- Validation questions and next actions
Truth boundary
Do not invent customer research, proof, outcomes, superiority, guarantees or testimonials. Mark unverified benefit statements as hypotheses and keep claims within supplied evidence.
Overlap guard: Owns the reusable customer-facing value proposition, promise boundary, reason-to-believe, and message pillars. Use Brand Voice for verbal style rules, Product Description for one product's channel copy, Competitive Positioning for evidence-led market differentiation hypotheses, and High-Ticket Offer for package/scope/delivery design.
Privacy and handoff
Runs in this browser. No upload by this page. Copy/download locally or explicitly open ChatGPT or Gemini. Source files are attached in the chosen AI service, not uploaded by Mycelgrid. Review the generated prompt and AI output before using or sharing it.