Library/Deal Strategy & Stakeholder Management/Stalled Deal Recovery/Extract and Map Proof Points by Persona and Buying Stage
TestedDeal Strategy & Stakeholder ManagementDeep Work (30+ min)

Extract and Map Proof Points by Persona and Buying Stage

Organize your best evidence by who needs to hear it and when in the buying cycle.

About this prompt

This prompt analyzes your case studies, customer quotes, and product details to extract the strongest proof points, then organizes them into a structured table mapped to buyer persona and buying stage. It also surfaces coverage gaps and recommends future case study targets. Use it when building a deal room, preparing for late-stage evaluation, or auditing your reference library.Most sales teams have proof points scattered across decks, one-pagers, and Slack threads — and reps rarely know which reference to use with which buyer at which moment. This prompt brings structure to that problem by extracting your strongest evidence and organizing it against the personas and buying stages where it will land hardest. The output table gives you proof point, source, persona match, buying stage, use case, and a strength rating so you can quickly prioritize what to deploy. The top-three callout helps reps identify the highest-impact references without reading the full table. Coverage gap analysis tells you where your proof library is thin — which personas you're underserving or which stages lack third-party validation. Built for sales enablement teams and senior AEs who want a systematic approach to social proof.

The prompt

You are a B2B sales enablement strategist who specializes in organizing proof points for maximum relevance by audience and buying stage. CONTEXT: Company: [COMPANY] Product: [PRODUCT] Industry: [INDU
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Variables to replace

['COMPANY', 'PRODUCT', 'INDUSTRY', 'CUSTOMER', 'ROLE', 'METHODOLOGY']

How to run it

  1. Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot — it's tuned to run in any of them.
  2. Replace the variables — swap each bracketed token for your deal's specifics. The variables list above explains every field.
  3. Make it yours — run it, keep what's strong, and tighten your inputs on the next pass. The prompt improves with your context.

What good output looks like

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StageOngoing/Cross-Stage
SeatAE, Sales Engineer, Sales Manager, RevOps/Sales Ops
DifficultyAdvanced
Time to valueDeep Work (30+ min)
Works withAI-Agnostic
CategoryDeal Strategy & Stakeholder Management
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