35+ Proven Sales & Marketing AI Prompts You Can Use Today [2026]

By 2028, Gartner estimates 60% of all B2B seller work will be executed using generative AI. Sales and marketing teams that can adopt AI intentionally can move faster, increase capacity, and deliver moe relevant buyer experiences without adding headcount.

With the right AI prompts, teams can create personalized outreach, research accounts, and prepare messaging at scale, all while keeping quality and consistency high. Before you bake AI prompts into your day-to-day workflows, the examples below show how to use them effectively so they produce practical, usable output, not generic noise.

Key Takeaways

• See how AI prompts accelerate research, outreach, and deal execution across sales and marketing workflows
• Learn why the strongest prompts function as micro-workflows that produce usable, role-specific output
• Understand how prompts optimized for 2026 GTM workflows incorporate AI agents, real-time data analysis, and multi-channel personalization
• Explore prompt templates with built-in guidance so teams can iterate faster, sharpen specificity, and generate on-brand output
• Improve AI results by defining who the model should emulate, providing the right context, and setting clear constraints

Why the Right AI Prompts Are Critical for Sales and Marketing

Prompts are where the magic happens and where most teams either strike gold or dig a very deep hole. They’re not throwaway questions or last-minute inputs. They’re the instructions that tell AI how to think, what to prioritize, and how to deliver something actually useful. In modern sales and marketing, prompts have become invisible micro-workflows baked directly into execution, quietly replacing hours of manual work. One well-crafted prompt can trigger multi-step reasoning, tailor messaging by persona, surface objections before they slow a deal, distill research into insights, and deliver a ready-to-send draft in seconds. Nail the prompt, and AI becomes your hardest-working teammate. Miss it, and you’re just politely asking a robot to guess.

Most GTM teams rely on AI for pre-call research, data synthesis, and rapid content creation. Reps use it to condense scattered account data into clear, actionable insight before a call. Marketers use it to analyze SERPs, shape angles, and turn one idea into multiple channel-ready assets. In both cases, AI is no longer assisting at the edges; it sits inside the core GTM workflow where decisions get made.

The catch? AI doesn’t bring judgement with it. It doesn’t always know which details matter, what should be emphasized, or where the line is between helpful and noise. Vague or loosely defined prompts produce generic output, forcing teams to redo work and erasing the time savings AI promised in the first place.

This is why prompt quality has become a true performance lever for sales and marketing teams. When you treat prompts as repeatable assets instead of one-off inputs, you move faster, stay consistent, and get more value out of the same AI tools everyone else has. The competitive advantage doesn’t come from using AI; it comes from knowing how to operationalize it through better instructions.

25 AI Prompts for Sales Teams

Most sales AI prompts fall into a handful of reliable categories: research, cold outreach, personalization, discovery and call prep, objection handling, and closing.  This list covers them all, with reusable prompts your whole team can use (with minimal edits).

Prospecting & Lead Research Prompts

1. Analyze a Prospect’s Digital Footprint

When you pull signals from what they publish and engage, it helps you target the right priorities and preempt objections before you reach out.

Prompt:
“Analyze this prospect’s digital footprint and summarize their top priorities, pain points, buying triggers, and likely objections.”

Pro Tip: If you want the output to be action-ready, add the lens you care about most, such as “assume they’re evaluating sales acceleration tools this quarter” or “optimize for a security-first buyer.”

2. Turn a Job Posting Into Prospect Pain Points

Job listings surface the initiatives they’re staffing for, which makes your outreach feel timely and grounded.

Prompt:
“Turn the following job listing into a list of business problems this company is actively trying to solve. Then generate relevant outreach angles.”

Pro Tip: Add “include the simplest version of each pain point” so you don’t get an overly academic list.

3. Deal Likelihood Score

A simple score forces an evidence-based call on fit and timing instead of letting optimism drive the pipeline.

Prompt:
“Research this company and produce a Deal Likelihood Score with reasoning based on firmographics, hiring trends, product signals, and competitor movements.”

Pro Tip: Ask for separate scores for fit and timing. Fit answers whether you should sell to them. Timing answers whether you should sell to them now.

4. LinkedIn Personality Match Outreach

Mirror how someone writes and thinks to increase perceived relevance without resorting to gimmicky personalization.

Prompt:
“Scan LinkedIn posts from this prospect and generate 3 outreach messages that match their communication style.”

Pro Tip: Add constraints like “keep sentences short,” “avoid hype,” or “use their preferred jargon.”

5. Tech Stack Gap Identification

Connect your value to their current tools to make the pitch concrete; this shows exactly where you fit.

Prompt:
“Based on their tech stack, identify operational gaps where our solution fits and draft a pitch showing fast ROI.”

Pro Tip: Share the tools you know they use and what your product integrates with; otherwise AI will invent a stack that may be wrong.

Cold Outreach Prompts

6. Cold Email Outreach

Specific pain + specific features + one CTA produces a message that’s clear, scannable, and easy to reply to.

Prompt:
“Generate a personalized sales email for [BUYER NAME] at [BUYER COMPANY NAME] that discusses how our product, [PRODUCT NAME], resolves the specific challenge of [BUYER PAINPOINT] using [PRODUCT FEATURES]. Include a call to action at the end to [CTA].”

Pro Tip: Note any specific elements the email should include, whether that be the desired length of the email or a bulleted list of features. Follow up with: “Create 5 subject lines with a curiosity hook for this email that doesn’t use the words ‘quick’ or ‘question.’”

7. Pattern Interrupt Email Sequence

A format break cuts through inbox sameness and earns a second look when every sequence sounds identical.

Prompt:
“Create a 3-step email sequence that uses pattern interrupts to stand out from competitors.”

Pro Tip: Ask for one message that deliberately breaks format, such as a one-line email or a short “wrong person?” nudge that still feels respectful.

8. Industry Insight Hook Email

Lead with a credible insight and earn attention first (so the ask doesn’t feel like a drive-by pitch).

Prompt:
“Write a cold email that includes a unique insight about their industry, region, or competitors.”

Pro Tip: Give AI at least one anchor insight, even if it’s small. For example, “we’re seeing longer sales cycles in mid-market SaaS due to CFO scrutiny.”

9. Fresh Cold Call Openers

Remove canned lines to lower resistance in the first seconds and keep prospects from reflexively shutting down.

Prompt:
“Generate 5 cold call openers that build trust quickly and avoid clichés.”

Pro Tip: Add your brand voice. If you sell in a straightforward tone, say “make it blunt but friendly.” If you sell in a consultative tone, say “curious and collaborative.”

10. LinkedIn Outreach

A low-pressure DM matches platform norms and makes starting a conversation feel natural.

Prompt:
“I want to reach out to [BUYER NAME] on LinkedIn about my product, but don’t want to come across too salesy. My product is [PRODUCT NAME] and is used for [PRODUCT PURPOSE], which solves their concern of [BUYER PAINPOINT]. Generate five possible intros I can use to reach out to this customer through a direct message.”

Pro Tip: No AI can replace the human element your team brings to the table. When messaging on LinkedIn, consider your recipient and the tone that might be most effective at engaging them; use generative AI to tweak your messaging as necessary so it strikes the right chord.

Personalized Messaging Prompts

11. Sales Email Subject Lines

Multiple options let you choose a hook that fits the audience and offer, rather than forcing one mediocre angle.

Prompt:
“Create five attention-grabbing email subject line options focused around [PRODUCT FEATURE] for the first email in a series of cold outreach emails.”

Pro Tip: If you don’t like the results of your prompt, you can offer generative AI feedback to improve future usage before requesting a second iteration.

12. Why Us, Why Now

Trigger-based framing creates real urgency by tying your message to what’s happening in their world.

Prompt:
“Analyze the company’s last 6 months of news and create a ‘Why Us, Why Now’ angle.”

Pro Tip: Ask AI to separate confirmed facts from assumptions so you can avoid over-claiming.

13. Persona-Level Personalization

Role-based outcomes feel relevant because they align to how that buyer measures success.

Prompt:
“Rewrite this email to personalize it at the persona level while focusing on business outcomes.”

Pro Tip: If you sell into multiple roles, build a mini prompt library by persona so reps don’t have to reinvent the wheel each time.

14. Testimonial-Based Personalization

Translate proof into the prospect’s context to reduce perceived risk and speed up trust.

Prompt:
“Convert this customer testimonial into a value prop specifically for <PROSPECT INDUSTRY>.”

Pro Tip: Give AI the prospect’s top priority (cost, speed, risk reduction, revenue impact) so it can emphasize the right part of the testimonial.

15. Emotional Tone Variations

Tone control helps you match the buyer’s mindset while keeping the strategy and facts consistent.

Prompt:
“Write three versions of this outreach email using different emotional tones: analytical, confident, and empathetic.”

Pro Tip: Choose tone based on persona and context. A buyer in procurement may want analytical clarity; a buyer under pressure may respond better to empathetic competence. Follow up with: “Choose the tone most aligned with this persona and explain why it’s the best fit.”

Sales Call Prep & Discovery Prompts

16. Website → Discovery Agenda

Turn their site into questions to prevent generic discovery and help get you to constraints, priorities, and decision criteria faster.

Prompt:
“Turn this prospect’s website into a discovery call agenda with tailored questions that uncover timeline, constraints, and pain points.”

Pro Tip: Ask AI to label each question by what it uncovers, such as “business outcome,” “process gap,” “risk,” or “decision criteria.”

17. Sales Call Script

A structured script keeps you outcome-led and prevents the call from turning into a feature tour.

Prompt:
“Below is a description of my product. Create a brief sales script for a call with [BUYER NAME] at [BUYER COMPANY NAME] that highlights how these features resolve [BUYER PAINPOINT].”

Pro Tip: The more information you offer generative AI about your product, the better results you’ll receive for your outreach.

18. Competitive Analysis

Competitive language and gaps give you sharper positioning so you’re not guessing where you win.

Prompt:
“Analyze the recent quarterly earnings calls of [COMPETITOR COMPANIES] in the [INDUSTRY NAME] industry. Identify any product gaps or weaknesses that my product, [PRODUCT NAME], could address when pitching to potential clients.”

Pro Tip: Generative AI can synthesize large amounts of data into actionable insights or talking points, which you can then combine with customer information to create more personalized, data-backed outreach.

19. Ice Breakers

Personal, specific openers build rapport without the awkwardness of forced small talk.

Prompt:
“I’m looking for ice breakers for my prospective client, [CLIENT NAME]. Below is the ‘about’ section from their LinkedIn profile. Generate five personalized questions that reference their professional achievements, recent activity (e.g., LinkedIn posts, articles), or shared industry challenges, to help build a personal connection in my sales emails.”

Pro Tip: Keep in mind that AI may not be able to seamlessly generate content with the nuances of human speech. Make sure you proofread and edit your generated content before sending to imbue your own tone of voice and authenticity—especially for personal outreach.

20. Softer, Conversational Question Rewrite

Friendlier phrasing lowers defensiveness and gets more honest answers.

Prompt:
“Rewrite these discovery questions to sound conversational and non-interrogative.”

Pro Tip: Ask AI to reduce “why” questions and increase “how” and “what” questions, which typically feel less confrontational. Follow up with: “Rewrite them again for a time-crunched executive who wants concise questions and quick context.”

Objection-Handling Prompts

21. Persona-Level Objection Map

Different roles stall for different reasons, so mapping objections by persona makes prep more accurate.

Prompt:
“List all likely objections for this persona and create ranked responses.”

Pro Tip: Ask for two categories of objections: logical objections (budget, integration, ROI) and emotional objections (risk, credibility, change fatigue). Follow up with: “For the top 3 objections, write a response that includes a question at the end to keep the conversation moving.”

22. Responding to Feedback

Standardized responses keep tone and logic consistent, especially when reps are under pressure.

Prompt:
“Analyze the common objections I’ve received from clients in the [INDUSTRY NAME] industry about [PRODUCT NAME]. Provide a list of counterarguments or solution-based responses, backed by relevant statistics or case studies, to overcome these objections.”

Pro Tip: If you use AI to create counter arguments for customer complaints, don’t forget to provide context and review the results to ensure they strike the right tone. Simply copying and pasting AI prompt responses without editing them first may result in your outreach efforts coming across as callous or argumentative.

23. Product Recommendations and Comparisons

A requirement-to-capability match makes your recommendation easier for the buyer to defend internally.

Prompt:
“My client requires a product that offers [DESIRED FEATURE OR BENEFIT]. Based on the list of my company’s products and their features, and considering the client’s specific industry needs and pain points, generate a tailored recommendation for the product that best fits their requirements. Highlight how this product compares to competitors’ offerings and any additional benefits for the client’s business.”

Pro Tip: Provide your generative AI with a list of competitors either before entering this prompt or in the prompt itself to help it more accurately compare your product to the competition.

Closing & Negotiation Prompts

24. Closing Email With Soft + Hard CTA

Two CTAs let buyers choose a comfortable next step while still moving the deal toward a decision.

Prompt:
“Draft a closing email that recaps value, removes friction, and ends with both a soft and a hard CTA.”

Pro Tip: Specify the buying stage and urgency. For example, note whether this is post-demo, end of trial, or end of quarter to adjust tone and pressure.

25. Buying Consensus Message

Shared outcomes keep everyone aligned, while role-specific points reduce internal friction.

Prompt:
“Create a buying-consensus message tailored for CFO, CTO, and end users.”

Pro Tip: Ask for one shared outcome that all roles can agree on, then tailor supporting points to each persona.

10 AI Prompts for Marketing Teams

The marketing AI prompts below help you plan smarter and execute faster, covering SEO research, content and SERP analysis, repurposing, lifecycle messaging, and KPI-driven campaign planning. Use them as copy-paste templates your team can standardize across campaigns.

1. Feature List → SEO Topics

Topic ideas stay connected to what you sell, which helps content attract the right intent.

Prompt:
“Turn this product feature list into 5 SEO-optimized blog topics with click-worthy titles.”

Pro Tip: Add your ideal customer profile, buying stage, and the kind of intent you want, like “commercial intent” or “solution-aware.”

2. Narrative Hook Blog Intro

A stronger opening earns attention early and frames the problem before you deliver the solution.

Prompt:
“Rewrite this blog intro using a narrative hook and an insight that positions us as an authority.”

Pro Tip: Tell AI what kind of hook fits your brand, such as story, contrarian claim, trend shift, or common misconception.

3. SERP Competitor Analysis

Knowing what ranks and what doesn’t, lets you write with a clear advantage instead of guessing.

Prompt:
“Analyze the top ranking pages for this keyword and recommend how to outrank them.”

Pro Tip: Ask for a suggested outline that explicitly targets gaps, such as missing examples, missing templates, weak proof, or outdated information.

4. Repurpose Long-Form Content

Channel-specific rewrites preserve the core idea while matching each platform’s format and attention span.

Prompt:
“Convert this article into short social scripts for LinkedIn, Instagram Reels, and TikTok.”

Pro Tip: Specify your brand voice and desired length for each platform, and request a clear CTA that doesn’t feel salesy.

5. Five-Email Nurture Sequence

Sequenced value builds intent over time, which converts better than asking for a demo too soon.

Prompt:
“Write a 5-email nurture sequence that moves a cold lead to demo-ready status using storytelling and micro-CTAs.”

Pro Tip: Provide the lead source and stage. A webinar lead and a high-intent pricing-page lead should receive different pacing and CTAs.

6. Sales Newsletter Rewrite

Skimmable formatting increases consumption on mobile, so the message actually lands.

Prompt:
“Rewrite this newsletter to be skimmable and optimized for mobile-first audiences.”

Pro Tip: Add guardrails so it stays on-brand. For example: “Keep my voice, add clear subheads, limit paragraphs to 2 lines, and end with one CTA.”

7. Quarterly Goal → Campaign Plan

Map the goal to channels, timing, and KPIs to keep the campaign focused and measurable.

Prompt:
“Take this quarterly marketing goal and convert it into a multi-channel campaign with KPIs and timelines.”

Pro Tip: Provide your budget range, team size, primary channel strengths, and what counts as a qualified lead.

8. Timely Campaign Angles

Ground urgency in a real shift to make campaigns feel relevant now, not artificially hyped.

Prompt:
“Create 5 campaign angles that position our product as timely and urgent based on current industry shifts.”

Pro Tip: Add the industry and a short description of what’s changing so AI doesn’t invent trends.

9. Tone Variations for Social Copy

Test tone to help you match the feed context without changing the core message.

Prompt:
“Rewrite this social copy in three tones: authoritative, conversational, and humorous.”

Pro Tip: Define the boundaries of humor for your brand, especially in B2B. Humor can be warm, but it can also undermine trust if it feels off.

10. High-Performer Pattern Summary

Patterns from your best posts give you repeatable inputs and better hypotheses for what to test next.

Prompt:
“Analyze our top 20 performing social posts and summarize patterns in voice, cadence, CTA type, and visuals.”

Pro Tip: Ask for hypotheses, not just observations. For example: “For each pattern, explain why it likely worked and what to test next.”

How to Write the Best AI Prompts

Creating generative AI prompts that produce reliable, usable output requires finesse. The goal isn’t creativity for creativity’s sake; it’s giving AI the right structure so it can support real sales and marketing workflows. Keep these principles in mind before you hit enter:

• Emulation improves relevance: To gear results toward a certain context ask generative AI to emulate a desired role. For example, add “Act like a senior B2B salesperson at [company name] selling to [persona]” to shape responses around how that person would think, prioritize, and communicate.
• Ground AI with context: Provide inputs like product descriptions, target personas, competitive landscape, and positioning. The more real-world context you share, the more useful and on-brand the output becomes. AI performs best when it’s working from concrete inputs, not assumptions.
• Be specific by design: When asking AI to generate content, define the industry, buyer role, buying stage, recency, tone, and desired outcome. Specific prompts reduce rework and produce output that’s easier to use as-is.

Even with these principles, writing strong prompts from scratch can feel daunting. Reusable templates help teams standardize quality, move faster, and iterate without starting from zero each time.

Use AI Prompts for Sales Success Today

AI prompts won’t magically close deals for you. They will, however, keep deals moving by compressing time between steps: faster prep before the call, clearer messaging during it, and follow-up that lands while the conversation is still fresh. When those gaps shrink, momentum builds and deal velocity increases.

Generative AI can unlock meaningful productivity gains across sales, marketing, and customer teams by accelerating research, content creation, and decision-making. But speed only helps when the output is usable. The better your instructions, the more strategic work your team can execute in less time without sacrificing quality or brand voice.

Use prompts the same way you’d use a playbook. Feed them real context, keep what works, and refine what doesn’t until the output consistently sounds like your best people. Sales and marketing teams that do this won’t just move faster; they’ll execute more consistently, communicate more clearly, and outperform teams relying on generic AI output.