This prompt library covers the entire sales cycle: from identifying prospects to closing deals and managing accounts. Each prompt is tested and optimised for B2B sales in Southeast Asia.
1. ICP Definition
Define the ideal customer profile for [our product/service]. Include: company size (employees, revenue), industry, geography, decision-maker roles, common pain points, buying triggers, and disqualifying factors. Focus on [Malaysia/Singapore] market.
2. Company Research
Research [Company Name] for a sales call. Provide: what they do, key products/services, recent news (past 6 months), likely challenges relevant to [our solution], and 3 personalised conversation starters. Keep it concise — bullet points only.
3. LinkedIn Connection Message
Write a LinkedIn connection request to [Title] at [Company Type] in [Location]. Reference a specific challenge their industry faces. Mention [our relevant solution] without being salesy. Maximum 300 characters.
4. Cold Email
Write a cold email to a [Title] at a [Company Type] in [Location]. Hook: [specific industry challenge]. Value proposition: [our key benefit]. Social proof: [brief reference]. CTA: [specific ask]. Maximum 150 words. Subject line: 5 options.
5. Discovery Call Questions
Generate 12 discovery call questions for a [prospect type] evaluating [our solution]. Organise by: current situation (3), challenges (3), impact of challenges (3), and desired future state (3). Include a question that reveals budget and timeline.
6-10. Additional Prospecting Prompts
11. Proposal Structure
Create a proposal outline for [product/service] for [prospect company]. Include: executive summary, understanding of their challenges, our approach, deliverables, timeline, team, pricing structure, case study reference, and terms. Keep the exec summary under 200 words.
12. Executive Summary
Write the executive summary for a proposal to [Company] for [solution]. Key points: their challenge is [X], our solution delivers [Y], expected ROI is [Z], timeline is [T]. Maximum 150 words. Make the first sentence compelling.
13. ROI Calculation
Help me build an ROI narrative for [prospect]. Their current cost: [describe]. Our solution impact: [describe]. Calculate: annual savings, payback period, and 3-year ROI. Present as a simple table.
14. Case Study Summary
Adapt this case study for [prospect's industry]: [paste case study]. Highlight: the challenge (similar to prospect), the solution, and the measurable results. Maximum 200 words.
15-20. Additional Proposal Prompts
21. Price Objection
The prospect says: "Your price is too high." Draft a response that: acknowledges the concern, reframes the conversation around value/ROI, references the total cost of inaction, and offers to demonstrate the ROI calculation. Keep it conversational, not defensive.
22. Timing Objection
The prospect says: "We're interested but not ready to buy yet — maybe next quarter." Write a response that: respects their timeline, creates gentle urgency, offers a low-commitment next step, and secures a follow-up date.
23. Competitor Objection
The prospect says: "We're also looking at [Competitor]." Write a response that: acknowledges the competitor professionally, highlights 3 differentiators without badmouthing, and suggests evaluation criteria that favour our strengths.
24-30. Additional Objection Prompts
31. Post-Meeting Follow-Up
Write a follow-up email after a [discovery/demo/proposal] meeting with [prospect]. Key discussion points: [list 3-4]. Agreed next steps: [list]. Tone: professional, warm, and action-oriented.
32. Proposal Follow-Up (No Response)
It's been [X] days since I sent the proposal to [Company] and no response. Write a polite follow-up that: references the proposal, adds new value (a relevant insight or case study), and makes it easy to respond (specific yes/no question).
33. Value-Add Nurture Email
Write a nurture email for a prospect in the [awareness/consideration] stage. Share a relevant insight about [their industry challenge]. Include a link to [our content]. Do NOT make a sales pitch. Build credibility and trust.
34-40. Additional Follow-Up Prompts
41. QBR Preparation
Prepare a Quarterly Business Review agenda for [client]. Include: results achieved this quarter, ROI delivered, challenges and how we addressed them, upcoming priorities, and expansion opportunities. Format as a slide deck outline.
42. Upsell Conversation
I want to propose [additional product/service] to existing client [Company]. Draft a conversation opener that: references their current success with us, identifies a related challenge they likely face, and introduces the new solution as a natural extension.
43-50. Additional Account Prompts
A well-organized sales prompt library serves as a force multiplier for the entire sales team, enabling consistent AI usage across all representatives regardless of their individual prompt engineering skill level. Organize the library by sales process stage: prospecting prompts for lead research and qualification, outreach prompts for personalized email and message generation, discovery prompts for meeting preparation and question generation, proposal prompts for customized pitch deck and proposal content creation, and follow-up prompts for post-meeting summary and action item documentation.
Generic sales prompts produce generic outputs that fail to resonate with prospects. Effective prompt customization incorporates three layers of specificity: industry context that references the prospect's sector-specific challenges, terminology, and regulatory environment. Company context that incorporates publicly available information about the prospect's business including recent news, financial performance, and strategic initiatives. And role context that adjusts language, detail level, and value proposition framing based on whether the communication targets a technical evaluator, financial decision-maker, or executive sponsor.
Prompt libraries require active maintenance to remain effective as AI models evolve and sales strategies change. Assign an owner responsible for reviewing prompts quarterly, removing underperforming prompts, updating prompts to reflect current product offerings and messaging, and incorporating new prompts contributed by team members. Track prompt usage analytics to identify which prompts generate the highest engagement and conversion rates, and use this data to prioritize library development efforts. Establish a contribution process where sales representatives can submit effective prompts they have developed independently, with peer review before inclusion in the shared library.
Sales teams should also develop prompt templates for competitive intelligence gathering that help representatives quickly understand competitor positioning, pricing strategies, and product differentiators before prospect meetings. Competitive analysis prompts that synthesize publicly available information into actionable briefings save significant research time while ensuring that sales representatives enter conversations prepared to address competitive comparisons with accurate, current information.
Sales organizations should track the correlation between prompt library adoption rates and sales performance metrics to quantify the business value of their prompt engineering investments. Comparing quota attainment, deal velocity, and pipeline conversion rates between high-adoption and low-adoption sales representatives provides evidence for continued investment in prompt library development and identifies specific use cases where AI assistance delivers the greatest performance improvement.
The release of GPT-4, Claude 3, and Gemini 1.5 fundamentally shifted what sales prompt libraries should contain. Earlier prompt libraries focused on simple text generation: drafting cold emails, summarizing call notes, and creating follow-up sequences. Modern prompt libraries leverage reasoning capabilities: analyzing competitor positioning from earnings transcripts, synthesizing procurement committee dynamics from LinkedIn profiles, and generating objection-handling scenarios tailored to specific verticals like healthcare procurement or government tender processes.
The most-used sales prompts are: prospect research (before every call), cold email drafts, proposal executive summaries, objection handling responses, and post-meeting follow-ups. These are daily tasks where AI saves 30-60 minutes while improving quality and consistency.
AI can generate strong proposal drafts including structure, executive summaries, ROI narratives, and case study adaptations. However, salespeople must customise with client-specific details, verify pricing, and add genuine insights. The best proposals combine AI efficiency with human personalisation.
Store prompts in a shared platform (Notion, Google Docs, or your CRM knowledge base). Organise by sales stage: prospecting, qualification, proposal, negotiation, closing. Tag by industry and company size. Review and update monthly based on conversion data. Encourage team contributions.
