1. What to replace:
Replace each {{placeholder}} with your enterprise solution, contract deal size, buyer persona, industry profile, business impact, and status quo alternative.
2. How to customize variables:
- product_or_service: Works for enterprise software, consulting retainers, agency services, or hardware.
- average_deal_size: Tailor for $10k to $250k+ enterprise deals.
- buyer_persona: Enter exact titles (e.g., CFO, CTO, CMO, Head of Supply Chain).
- primary_business_impact: Focus on revenue leakage, compliance fines, or operational churn.
- status_quo_or_competitor: Name the spreadsheets, agencies, or legacy software they currently use.
3. Compatible AI Tools:
ChatGPT (GPT-4o), Claude 3.5 Sonnet, Gemini 1.5 Pro.
4. Expected Result:
A consultative, consultative discovery call script that positions you as a trusted advisor and handles tough executive pushback with ease.
Act as a master B2B Enterprise Sales Director and High-Ticket Closing Coach. Build an elite, non-pushy Discovery Call Script and Objection Handling Playbook for selling {{product_or_service}} to {{buyer_persona}}.
Deal Context:
- Offering: {{product_or_service}} (Contract Value: {{average_deal_size}})
- Target Decision Maker: {{buyer_persona}} at {{target_industry_profile}}
- Core Business Problem Solved: {{primary_business_impact}}
- Primary Competitor Alternatives: {{status_quo_or_competitor}}
Playbook Architecture:
Part 1: The First 3 Minutes (Setting the Upfront Agreement):
- Pattern-interrupt opening that eliminates sales resistance.
- The Sandler Upfront Contract (Time check, mutual agenda, and explicit permission for both parties to say "no").
Part 2: The Diagnostic Questioning Ladder (MEDDPICC Discovery Framework):
- Pain Questions: Surface the latent, unaddressed operational bottlenecks.
- Negative Consequences: Quantify the daily financial bleed of doing nothing ("What happens if this isn't solved in 6 months?").
- Decision Process & Metrics: Uncover decision criteria, key stakeholders, and procurement hoops without interrogating.
- Champion Testing: Verify if the prospect has the internal political capital to push the deal through committee.
Part 3: The Seamless Bridge to the Solution:
- How to summarize their exact pain in their own words before demonstrating the platform.
- Securing the next step with definitive calendar commitment.
Part 4: The Objection Handling Matrix:
Provide tactical objection turnarounds using the "Acknowledge, Clarify, Reframe" method for:
1. "Your price is way higher than [Competitor]..."
2. "We are already using [Status Quo / Existing Tool] and it's fine for now..."
3. "We don't have the internal bandwidth or engineering resources to implement this right now..."
4. "Send me some information and I'll review it with my team..."
Customize this prompt (fill variables)
How to use this prompt
Example: what to expect
Example input
product_or_service: Cloud Cost Optimization and Autonomous Kubernetes FinOps Software
average_deal_size: $60,000 ARR contract
buyer_persona: VP of Cloud Engineering / Chief Technology Officer
target_industry_profile: Scale-up fintech and healthtech SaaS companies running on AWS/GCP
primary_business_impact: Cloud bills spiraling out of control with 35% wasted idle compute spend
status_quo_or_competitor: Native AWS Cost Explorer and quarterly manual engineering tagging sprints
Example output
A complete B2B discovery guide opening with a 60-second Upfront Contract. Features 8 diagnostic questions quantifying idle cloud waste, followed by the "Bandwidth Objection" reframe: "Most CTOs we work with felt the exact same way before realizing manual tagging consumes 40 hours of senior DevOps time each month. If our agent connects in 15 minutes without code changes, would that remove the resource bottleneck?
Variables explained
| Variable | What to enter |
|---|---|
{{product_or_service}} |
What enterprise solution are you selling? |
{{average_deal_size}} |
State contract value range. |
{{buyer_persona}} |
State executive job title. |
{{target_industry_profile}} |
Company size and sector. |
{{primary_business_impact}} |
Financial or strategic consequence. |
{{status_quo_or_competitor}} |
What do they currently use? |
Tips for better results
Best used for: B2B sales discovery and objection handling
- Give the AI context first: who you are, who the audience is, and what “good” looks like for you.
- Ask for output in a specific format (bullets, table, markdown) when you need structure.
- If the result is close but not perfect, reply with “keep the structure, make it more…” — do not start over.
- For long tasks, split the prompt into steps instead of expecting one giant answer.
- Different tools behave differently — ChatGPT, Claude and Gemini each have their own style. Try this prompt on the tool you use most.
How to use this Sales prompt effectively
What this prompt does
Structure high-converting B2B discovery calls using the Sandler and MEDDPICC frameworks with diagnostic questioning ladders and real-time objection reframes.
Getting the most out of it
- Copy the prompt and paste it into your AI tool of choice (ChatGPT, Claude or Gemini).
- Fill the variables in curly brackets with your own topic, audience and tone — the customize button above builds a ready version for you.
- Review the first draft for facts and style before using it. AI output is a starting point, not a final product.
- Iterate: tell the AI what to keep and what to change. Small corrections beat re-typing the whole prompt.
Common mistakes to avoid
- Leaving the {{variables}} unfilled — the AI then guesses your topic.
- Expecting one output to be perfect — plan for 2–3 rounds of refinement.
- Pasting confidential information into public AI tools.