25 ChatGPT prompts for sales

Jérémy Grandillon shared 25 ChatGPT prompts in his post to help salespeople refine their pitches and turn leads into clients.

Here are 5 prompts from his post:

1. Product/service intro

⇢ “For [Audience], what metaphors or analogies can I use to explain how [Product/Service] works in a relatable way?”

2. Unique value proposition

⇢ “Considering market competitors [X], [Y], and [Z], how can I frame [Product/Service]'s unique value proposition to highlight its superiority without directly criticizing the competition?”

⇢ “From a psychological perspective, what emotional triggers can be used to make the unique value proposition of [Product/Service] more persuasive?”

3. Memorability

⇢ “Drawing from cognitive science and the "peak-end rule," how can I design the conclusion of my sales pitch for [Product/Service] to be impactful and memorable, ensuring it stays in my audience’s minds long after the presentation?”

4. Refinement

⇢ “Given that [Product/Service] is designed to solve [specific problem], how can I craft a story that starts with a common pain point, evokes empathy, and positions [Product/Service] as the solution, while leveraging principles from narrative psychology?”

Making AI your coworker in sales

The AI Sales Prompting Guide by Charlie Cowan outlines how to write clear prompts and use AI effectively in sales workflows. Here’s how to get better results with AI, plus specific examples:

1. Treat AI like a coworker

• Imagine the AI is a new SDR or account executive on your team.

• Provide clear instructions and context, just as you would with a new hire.

Example Prompt:

"You are an SDR joining our team. Here’s our ICP: mid-size tech companies, 500–1000 employees, seeking CRM solutions. Write a personalized cold email for the VP of Sales at [Company Name], focusing on increasing pipeline visibility."

2. Feed it context

• Share key information about your company, competitors, and buyer personas.

• Supply relevant documents or data to improve responses.

Example Prompt:

"Our product helps reduce manual data entry for sales teams. Competitors are Salesforce and HubSpot. Create a value proposition for a pitch deck targeted at CROs."

3. Write detailed prompts

• Be specific about what you need, why you need it, and the desired format.

• Break big tasks into smaller steps.

Example Prompt:

"Step 1: Define KPIs for a lead generation campaign targeting SMBs in the healthcare industry. Step 2: Suggest messaging tailored for LinkedIn outreach."

4. Break tasks into steps

• Guide the AI through a process step by step to get better results.

• Use chain-of-thought instructions like "First analyze this, then suggest that."

Example Prompt:

"First list the top objections from buyers in enterprise IT. Then provide responses to overcome those objections in discovery calls."

5. Create reusable projects

• Save prompts for repetitive tasks like qualifying deals or preparing meeting agendas.

• Automate common workflows with AI tools like Claude Projects or GPT custom instructions.

Example Prompt:

"Help me qualify a lead. Here’s the deal: [Details]. Ask me questions one by one about their needs, budget, and timeline, and suggest next steps."

6. Ask for feedback from AI

• Prompt AI to clarify if it needs more details or has any questions about your input.

Example Prompt:

"This is a complex task. Let me know if there’s anything you don’t understand or if you need more context."

7. Provide examples

• Show AI what good and bad outcomes look like to set clear expectations.

Example Prompt:

"Here’s a sample follow-up email I liked: [Paste example]. Now write a follow-up email for a prospect who said, ‘Not right now, maybe next quarter.’"

Analyzing discovery calls with AI

Tom Stearns explains how AI can improve your discovery calls by helping you identify problems, impacts, and better questions for future calls.

Here’s how to use AI to make your discovery calls more effective:

• Identify customer problems

  • Paste your call transcript into ChatGPT or a similar tool.

  • Ask: What problems did the customer describe in this call?

  • Refine the AI’s response by focusing only on explicitly stated problems.

• Find missed issues

  • Ask AI: What problems might this customer have that I didn’t ask about?

  • Use the response to create targeted questions for your next call.

• Understand business impacts

  • Ask: What are the impacts on the customer’s business of not solving these problems?

  • Clarify: Only focus on impacts the customer mentioned explicitly.

• Enhance your questions

  • Ask: What questions could I have asked to explore these problems or their impacts?

  • Apply the suggestions to improve future calls.

By analyzing call transcripts with AI, you can uncover hidden issues, understand customer needs better, and refine your discovery approach for stronger conversations.

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