12 ready-made prompts
Prompts for everyday sales work: preparing prospecting, reaching out without sounding like a robot, handling objections, following up in a way that helps people decide, writing proposals and looking after customers after the sale. They work for products or services, B2B or consumer. Fill in the brackets with your context and adjust the tone.
Before you start prospecting.
You are a sales consultant. I sell [product/service] at around [deal size]. My best customers today are [description]. Build an ideal customer profile: type of company or person, size, decision-maker's role, the problems they feel most, buying triggers and where to find them. Then list 5 signs a contact isn't a fit.
To start a conversation with a new contact.
Write 3 versions of a first message to [contact profile] about [problem I solve]. Each up to 4 lines, personalized with [detail about the contact], with no long pitch, ending with an easy question to answer. Natural tone that doesn't read like a mass message.
The first conversation with a lead.
Build a 15-minute call script to understand a [profile] lead's situation: opening, 6 discovery questions (current situation, problem, impact, what they've tried, timing, who decides) and a close that books the next step.
To prepare before meetings.
I sell [product/service] to [audience]. The objections I hear most are: [list, e.g. too expensive, need to think, already use something else]. For each: what's usually behind it, a question to understand it better and a consultative answer of up to 3 lines. No pressure tactics.
When the customer asks for a discount.
The customer asked for [discount] on a [amount] proposal for [product/service]. Suggest 4 negotiation routes that protect the value: adjusting scope, payment terms, something in return or timing. Write the reply for each route in up to 4 lines.
To rehearse before an important meeting.
Play a [profile] customer torn between my solution and [alternative]. Be realistic and raise objections. I'll respond as the salesperson. After 6 exchanges, give me feedback on what worked and what I could do better.
When a customer goes quiet after the proposal.
Write 3 follow-up messages for a customer who received the proposal for [product/service] and didn't reply: 1 day later (answering a common question), 4 days later (with a useful example or fact) and 10 days later (a polite close). Up to 4 lines each, no pressure.
When putting a proposal together.
Build the structure of a sales proposal for [customer, described generally] about [solution]: summary of the customer's problem, proposed solution, what's included and what isn't, timeline, investment ([AMOUNT]), terms and next steps. Direct language, focused on the customer's outcome.
Right after a sales meeting.
From the notes below, write a recap email to the customer: what we understood about their situation, what was agreed, and next steps with owners and dates. Up to 12 lines, professional tone. [NOTES]
Right after closing.
Write a welcome message for a customer who just bought [product/service]: thanks, what happens now, timelines and who their contact is. Warm, up to 8 lines.
When a customer is happy.
Write 3 natural ways to ask a happy customer of [product/service] for a referral, at different moments (right after a result, in a routine conversation and by message). Up to 3 lines each, without sounding forced.
Customers who stopped buying.
Write a message to reconnect with a customer who used to buy [product/service] and stopped [months] months ago. Ask how things are, share relevant news and leave the door open. Up to 5 lines.
Yes, and it's one of the biggest time savers. AI helps you get started, vary your approach and prepare answers to objections. The key is not sending generic text: adjust it to your voice, personalize it with something real about the contact and read it before sending. Messages that feel mass-produced kill reply rates.
Yes. Beyond the prompts on this page, you can set up an automation that records leads, sends follow-ups at the right time with personalized messages and routes the conversation back to the salesperson when the customer replies. Our page on automated lead follow-up explains how it works.
Avoid putting contact lists, phone numbers or customer information into public tools, because of privacy rules. For writing and practice, general descriptions of the profile are enough. If your company uses AI with customer data, use a contracted tool with a clear data policy.
AI takes over part of the repetitive work: writing, organizing, reminding and answering the basics. Understanding the customer, building trust and leading a negotiation remain human work. Salespeople who use AI for routine tasks usually have more time for the conversations that close deals.
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