Have ChatGPT help you prepare for your final closing call and handle any objection

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Have ChatGPT help you prepare for your final closing call and handle any objection
Made by
Arrows
Category
Sales
Type
AI Prompts
Tools used
ChatGPT

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You’re about to hop on the final closing call for a deal you’ve been working on for weeks.

You’ve had multiple conversations, but going into this last call, you need to be fully prepared for anything: objections, hesitations, last-minute surprises.

Instead of hoping for the best, drop your call transcripts into ChatGPT with this prompt. You’ll get a full breakdown of everything you need to know before the meeting:

→ Key stakeholders and their priorities
→ Potential objections and hesitations
→ Where the deal stands and remaining roadblocks
→ Tailored responses and negotiation tactics

And the best part? It doesn’t stop at meeting prep. ChatGPT can actually role-play as your prospect, letting you practice your responses and objection handling before the real call.

What you’ll need

→ Call transcripts from your previous sales meetings with this prospect (pulled from your AI notetaker)
→ A ChatGPT account (or another AI tool that can process long text inputs)
→ The prompt below

🚩 Before you start: Check your company’s AI policies before uploading sales call transcripts. Many AI tools store input data, so avoid using free or non-compliant versions for sensitive prospect information.

The prompt

Copy and paste this into ChatGPT along with your call transcripts:

I am preparing for the final closing call in a sales deal. I have already had several calls with the prospect, and I will provide you with transcripts from those conversations. Your task is to analyze these transcripts and extract all critical information to ensure I am fully prepared for the closing call.

Key Deliverables:

Stakeholder Analysis
- Identify all key decision-makers, influencers, and blockers in the deal.
- Summarize their roles, priorities, and any concerns they’ve raised.

Objection & Hesitation Forecasting
- List all potential objections or hesitations that might come up based on previous discussions.
- Explain the underlying reasons behind these objections.

Timeline & Deal Status
- Summarize where we are in the sales process.
- Identify any remaining steps before signing.

Closing Strategy & Response Preparation
- Provide tailored strategies for handling objections.
- Suggest key messaging and negotiation tactics based on the prospect's priorities.

Role-Play as the Buyer
- Simulate a realistic final call, acting as the prospect.
- Ask the most likely questions and objections they might bring up.
- Allow me to practice responses, and provide feedback on how to improve my approach.

Instructions:
- Analyze the transcripts thoroughly and ensure your insights are specific to this deal.
- Be as detailed as possible, considering any unstated concerns or hidden objections.
- Keep responses concise yet actionable, focusing on what will help me close the deal.
- In the role-play, make it dynamic. Adapt based on my responses and push back when needed to test my ability to handle objections.

Why this works

Sales reps spend so much time preparing for final calls, but most of that prep is based on memory or scattered notes. Running your call history through ChatGPT organizes everything into clear insights, helping you anticipate concerns and refine your closing strategy.

This process helps you:
→ Address objections before they stall the deal
→ Fine-tune your messaging based on past conversations
→ Get realistic practice handling tough questions before the real call

More ways to put your meeting notes to work

If you're looking for a way to turn your meeting notes into structured, buyer-facing resources, check out Arrows AI-powered sales rooms.

Arrows takes the insights from your sales calls and turns them into a personalized, interactive space where your buyer has everything they need to move forward.

Steal this cheat sheet for running customer success in HubSpot

Not sure where to start? Download the 7 playbooks you need to scale across the customer journey.

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