Your sales library
AI Sales 11 min
0/19
Business problem
Sales knowledge lives in your head and in 3 places at once (notes, emails, talks with colleagues). When you ask AI 'how to write a follow-up', you start from zero — without your tone, your cases, your winning formulas. A playbook turns knowledge into an asset: every prompt and template is matched to you.
Proven method
A playbook in 6 sections:
- PROMPTS: tested prompts (research, brief, call analysis, follow-up, offer, objections) — each with a 'what worked' annotation,
- FRAMEWORKS: discovery (open-ended questions, impact), objections (the 4-step workflow), closing (techniques), negotiation (BATNA, concessions),
- OBJECTION RESPONSES: your versions (from module
- , updated after real calls,
- DISCOVERY QUESTIONS: a question bank (opening, pain, impact, qualification) — divided by situation,
- TEMPLATES: follow-ups (after discovery/demo/offer/ghosted), offers (the 7-section structure),
- RESEARCH: company and person research templates (checklists). The rule: a playbook lives — after every call you add what worked; every month you review 2 sections. AI helps: generates first versions (prompts, templates), analyzes your emails and proposes improvements, keeps consistency — but you decide what stays.
Market example
- BAD
- Improvised general pitch lacking buyer context or verified data.
- GOOD
- After 2 months the playbook contains: a RESEARCH prompt (version 3, with the annotation 'add hiring signals — they're the best openers'), a response to 'TOO EXPENSIVE' (your version: 'Compared to what? + discovery ROI' — works in 6 of 10 calls), DISCOVERY QUESTIONS (a bank of 30, sorted by stage), a FOLLOW-UP TEMPLATE (a version with a field for 2 specific agreements — 'clients reply more often when they see I remember their case'). A new salesperson reads the playbook and knows how you work — without 3 months of learning.
Ready-to-use prompt
You are a sales playbook editor. Context: I sell [PRODUCT]. My experience: [HOW LONG, WHAT RESULTS]. What works for me: [WHAT WORKS]. What doesn't: [WHAT DOESN'T]. Task: Build my Personal AI Sales Playbook: 1. Prompts (a list of 5-8 with an annotation of what for and how to use each) 2. Frameworks (discovery, objections, closing, negotiation — briefly, how I apply them) 3. Objection responses (my 3 most common + ready responses) 4. Discovery questions (a bank of 10 — opening/pain/impact/qualification) 5. Follow-up and offer templates (structure + fields) 6. Research templates (company/person checklists) 7. A maintenance system: how and when to update (after a call, monthly) Format: 7 sections.
Model rekomendowany: Claude 3.5 Sonnet / GPT-4o Copy and paste into ChatGPT, Claude or Perplexity
ALTERNATYWNE SCENARIUSZE
Variations & alternative scenarios
Beginner version: 3 sections to start (prompts, objections, templates).
Manager version: a team playbook + standards + onboarding.
Practical exercise
Plan the playbook structure (6 sections). Enter into 2 sections what you already have (prompts, objections). Plan a weekly update after calls.
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