Ready-made ChatGPT prompts for sales can help draft outreach, follow-ups, discovery questions, objection responses, proposals, and deal recaps. The strongest sales prompts are not fully automated messages. They are structured templates that still require prospect-specific context, accurate proof, and human review before sending.
Use the prompts below by sales stage: research, outreach, discovery, follow-up, objection handling, proposal, close, and reactivation. Save the versions that work in Maxprompt so your team can reuse them by persona, vertical, offer, and pipeline stage.
The Sales Prompt Formula
Most weak sales prompts fail because they skip personalization. Use this formula:
Act as a [sales role] for [company/product].
Sales stage: [research/outreach/discovery/follow-up/proposal/etc.]
Prospect: [role/company/segment]
Problem we solve: [problem]
Relevant proof: [proof]
Offer: [offer]
Desired next step: [next step]
Tone: [tone]
Constraints: [length, channel, claims to avoid]
Create [output]. Make it specific, honest, and easy to reply to. List personalization details I should add before sending.
That final personalization check protects you from sending generic AI copy that sounds polished but irrelevant.
Prospect Research Prompts
1. Account Research Prompt
Act as a B2B sales researcher. Help me prepare for outreach to [company/account].
Use only the information I provide below:
[notes, public facts, CRM notes]
Return:
- Likely business priorities
- Possible pain points
- Relevant trigger events
- Personalization angles
- Questions to verify
- Outreach angle options
Do not invent facts about the company.
2. Buyer Persona Prompt
Act as a sales enablement strategist. Create a buyer persona for [role] considering [product/service].
Context:
- Industry: [industry]
- Company size: [size]
- Problem solved: [problem]
- Buying committee: [committee]
Return pains, desired outcomes, objections, proof needed, preferred language, and discovery questions.
3. Call Prep Prompt
Act as a sales coach. Prepare me for a call with [prospect type].
Context:
- Prospect situation: [situation]
- Their likely goal: [goal]
- Our offer: [offer]
- Known objections: [objections]
- Desired next step: [next step]
Return agenda, opening, discovery questions, proof points, risks, and next-step options.
Cold Outreach Prompts
Cold outreach should be specific, relevant, and respectful. Do not use AI to mass-send misleading or spammy messages.
4. Cold Email Prompt
Act as a B2B sales copywriter. Write a cold email to [prospect role] at [company type].
Personalization context: [context]
Problem: [problem]
Offer: [offer]
Proof: [proof]
CTA: [CTA]
Return:
- 5 subject lines
- Email under 120 words
- A softer version
- A more direct version
- Personalization fields to add
Avoid fake familiarity, false urgency, and exaggerated claims.
5. LinkedIn DM Prompt
Act as a social selling coach. Write LinkedIn DM options for [prospect role].
Context:
- Why this person may care: [reason]
- Relevant trigger: [trigger]
- Offer or resource: [offer/resource]
- Desired reply: [reply]
Return 5 messages under 500 characters. Make each one specific and low-pressure.
6. Warm Referral Prompt
Act as a sales relationship coach. Draft a message asking [person] for a warm introduction to [prospect].
Context:
- Relationship with referrer: [relationship]
- Why the intro makes sense: [reason]
- Value for prospect: [value]
- Desired next step: [next step]
Return a concise message the referrer could forward easily.
Follow-Up Prompts
7. No-Reply Follow-Up Prompt
Act as a sales follow-up writer. Draft a follow-up for a prospect who has not replied.
Original context: [context]
Prospect role: [role]
Problem: [problem]
Offer: [offer]
New value to add: [value]
Return 3 follow-ups:
- Helpful resource
- Short bump
- Breakup email
Keep the tone respectful and avoid guilt-based language.
8. Post-Meeting Follow-Up Prompt
Act as an account executive. Write a post-meeting follow-up.
Meeting notes:
[notes]
Include:
- What we heard
- Agreed priorities
- Open questions
- Recommended next step
- Owner and deadline if known
Return an email under 250 words and a shorter Slack/DM version.
9. Re-Engagement Prompt
Act as a sales reactivation specialist. Write a re-engagement message for a prospect who went quiet.
Context:
- Last interaction: [last interaction]
- Previous interest: [interest]
- Possible reason for pause: [reason]
- New helpful angle: [angle]
Return 3 versions: direct, helpful, and very short.
Discovery Call Prompts
10. Discovery Question Prompt
Act as a consultative sales coach. Create discovery questions for [offer] sold to [buyer].
Goal: understand pain, urgency, decision process, budget, and success criteria.
Return:
- 12 discovery questions
- 5 follow-up questions
- Red flags
- Qualification criteria
- Summary template
11. Call Notes Summary Prompt
Act as a sales operations assistant. Summarize these discovery call notes:
[notes]
Return:
- Prospect pain
- Business impact
- Decision criteria
- Stakeholders
- Objections
- Next steps
- Follow-up email draft
Objection Handling Prompts
12. Objection Response Prompt
Act as a sales coach. Help respond to this objection:
Objection: [objection]
Buyer context: [context]
Offer: [offer]
Proof available: [proof]
What we can honestly promise: [promise]
Return:
- What the objection may mean
- Questions to ask
- 3 response options
- What not to say
13. Price Objection Prompt
Act as a value-based selling coach. Help me respond to a price objection.
Buyer: [buyer]
Offer: [offer]
Price: [price]
Value drivers: [value]
Alternatives: [alternatives]
Return a response that acknowledges cost, clarifies value, explores fit, and suggests a next step.
Proposal and Deal Recap Prompts
14. Proposal Outline Prompt
Act as a proposal writer. Create a sales proposal for [prospect].
Problem: [problem]
Recommended solution: [solution]
Scope: [scope]
Proof: [proof]
Timeline: [timeline]
Investment: [price if approved]
Return:
- Executive summary
- Current situation
- Proposed solution
- Deliverables
- Timeline
- Assumptions
- Next steps
15. Mutual Action Plan Prompt
Act as an enterprise sales coordinator. Create a mutual action plan.
Deal context: [context]
Target decision date: [date]
Stakeholders: [stakeholders]
Steps required: [steps]
Risks: [risks]
Return a table with milestone, owner, due date, dependency, and risk.
16. Deal Recap Prompt
Act as an account executive. Write a clear deal recap after a sales conversation.
Notes:
[notes]
Return:
- Summary of the problem
- Desired outcome
- Decision criteria
- Open questions
- Next steps
- Email draft
Sales Prompt QA Checklist
Before sending AI-assisted sales messages, check:
- Is the message personalized with real context?
- Are all claims accurate?
- Is the CTA simple?
- Does the message avoid fake urgency?
- Does it respect privacy and communication laws?
- Is the tone appropriate for the relationship?
- Does the message help the buyer, not just push the seller’s agenda?
Build a Sales Prompt Library in Maxprompt
Organize sales prompts by pipeline stage:
- Research
- Outreach
- Discovery
- Follow-up
- Objection handling
- Proposal
- Closing
- Reactivation
Inside Maxprompt, you can also tag prompts by persona, vertical, product, objection, and channel. This makes the library practical for repeated use instead of a messy collection of old drafts.
FAQ
What are ready-made ChatGPT prompts for sales?
Ready-made ChatGPT prompts for sales are reusable templates that help draft outreach, follow-ups, discovery questions, objection responses, proposals, and deal recaps.
Can ChatGPT write cold emails?
Yes. ChatGPT can draft cold emails, but you should add real personalization, verify claims, and avoid spammy or misleading outreach.
What sales tasks are best for ChatGPT?
ChatGPT is useful for call prep, message drafts, follow-up summaries, objection response practice, proposal outlines, and sales enablement content.
Should sales teams automate sending AI-written messages?
Be careful. AI can draft messages, but customer-facing sales communication should be reviewed for accuracy, relevance, privacy, and compliance before sending.
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Written by
Marcus Reid
Former software engineer turned AI tools consultant. Helps companies integrate large language models into daily operations and measure the real productivity impact.