ChatGPT Prompts for Lead Generation
30 structured prompts to define your ICP, build lead magnets, write opt-in and outbound copy, qualify and score leads, and nurture them to a yes.
In short: This page contains 30 copy-paste ready prompts, organized into 6 categories with a description and pro tip for each. The first 15 prompts are free instantly — no signup needed. Hand-curated and tested by the AI Academy team.
ICP & Targeting
5 promptsBuild a Detailed Ideal Customer Profile
1/30<context> Product: [PRODUCT] Current best customers: [LIST 3-5 ACCOUNTS OR DESCRIBE THEM] Core problem solved: [PROBLEM] Price point: [PRICE] </context> <task> 1. Synthesize a single Ideal Customer Profile (ICP) covering: company size (employees + revenue), industry/vertical, growth stage, tech stack signals, and geography. 2. Define the primary buyer persona: role/title, KPIs they own, what they are measured on, and their reporting line. 3. List the top 3 trigger events that signal a company is ready to buy now. 4. List 3 disqualifiers that make an account a bad fit. 5. Output as a one-page ICP brief plus a 6-line firmographic + technographic filter set I can paste into a prospecting tool. </task>
Produces a sharp one-page ICP plus ready-to-use prospecting filters.
Pro tip: Paste in real closed-won and churned customer notes so ChatGPT contrasts winners against bad fits instead of guessing.
Segment a Broad Market into Niches
2/30<context> Product: [PRODUCT] Broad market: [MARKET, e.g. 'SMB ecommerce'] Offer: [OFFER] </context> <task> 1. Break this broad market into 5-7 distinct niche segments. 2. For each niche give: a one-line definition, the acute pain my product solves, estimated willingness to pay (high/medium/low), and competitive saturation (high/medium/low). 3. Score each niche 1-10 on reachability, urgency, and budget, then total the score. 4. Recommend the top 2 niches to target first and explain the trade-off in one sentence each. 5. Output as a ranked table sorted by total score. </task>
Turns a vague TAM into ranked, beachhead-ready niche segments.
Pro tip: Ask ChatGPT to flag any niche where regulation or long sales cycles would slow lead gen so you avoid expensive dead ends.
Map Buying Committee & Stakeholders
3/30<context> Product: [PRODUCT] ICP: [ICP] Deal size: [PRICE] </context> <task> 1. Map the typical buying committee for this deal size: champion, economic buyer, technical evaluator, and likely blockers. 2. For each role, list their primary motivation, their main objection, and the proof point that moves them. 3. Identify which role I should make first contact with and why. 4. Suggest one tailored value message per role (max 2 sentences each). 5. Output as a stakeholder map table with a recommended sequence of who to engage in what order. </task>
Reveals who to reach, in what order, and what each stakeholder needs.
Pro tip: Tell ChatGPT your deal size up front — committee complexity scales with price, and it will under- or over-engineer the map without it.
Generate Account-Based Target List Criteria
4/30<context> Product: [PRODUCT] ICP: [ICP] Goal: build a tight ABM target list of ~50 accounts </context> <task> 1. Define the exact firmographic, technographic, and intent criteria an account must meet to make the list. 2. List 8-10 observable buying signals (hiring, funding, tool adoption, leadership change) that should bump an account up the priority list. 3. Suggest 3 data sources or search queries to find accounts matching each signal. 4. Propose a simple tiering rule (Tier 1/2/3) based on fit and signal strength. 5. Output as a target-list playbook plus a checklist I can apply to each account. </task>
A repeatable rubric for building a high-fit ABM account list.
Pro tip: Have ChatGPT phrase the signals as literal LinkedIn or Google search strings so your SDRs can run them immediately.
Write Pain-Point Messaging by Persona
5/30<context> Product: [PRODUCT] Offer: [OFFER] Personas: [LIST 2-3 ROLES FROM ICP] </context> <task> 1. For each persona, articulate the top 3 pains in their own words (the way they would describe the problem internally). 2. Map each pain to a specific capability of [PRODUCT] and the measurable outcome it drives. 3. Write one before/after narrative per persona (2-3 sentences) showing life before and after the product. 4. Draft a one-line value proposition per persona that leads with the outcome, not the feature. 5. Output as a messaging matrix: persona, pain, capability, outcome, value line. </task>
A persona-by-persona messaging matrix grounded in real pains and outcomes.
Pro tip: Ask ChatGPT to use the buyer's vocabulary, not your marketing terms — paste a few quotes from sales calls or reviews to anchor the tone.
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Lead Magnets
5 promptsBrainstorm High-Converting Lead Magnet Ideas
6/30<context> Product: [PRODUCT] ICP: [ICP] Offer: [OFFER] Distribution channel: [CHANNEL, e.g. blog, LinkedIn, paid ads] </context> <task> 1. Generate 10 lead magnet ideas spanning formats: checklist, template, calculator, mini-course, benchmark report, swipe file, and assessment. 2. For each idea, state the specific problem it solves, the promised quick win, and why it naturally leads to [PRODUCT]. 3. Rate each on perceived value, production effort, and likely opt-in rate (high/medium/low). 4. Recommend the top 2 to build first and explain why they fit the channel. 5. Output as a ranked table. </task>
Ten channel-fit lead magnet concepts ranked by value, effort, and opt-in potential.
Pro tip: Tell ChatGPT your distribution channel — a calculator wins on a landing page but a 1-page checklist wins in a LinkedIn DM.
Outline a Lead Magnet That Pre-Sells the Product
7/30<context> Product: [PRODUCT] Chosen lead magnet: [MAGNET IDEA] ICP: [ICP] Offer the magnet leads to: [OFFER] </context> <task> 1. Outline the full structure of this lead magnet section by section. 2. For each section, note the single takeaway and how it builds belief that [PRODUCT] is the obvious next step. 3. Identify the one section where the reader hits the limit of doing it manually (the wedge to introduce the product). 4. Write the title and subtitle using a clear outcome promise. 5. Add a soft CTA to place at the end that transitions to [OFFER] without feeling like a pitch. </task>
A section-by-section lead magnet outline engineered to pre-sell your offer.
Pro tip: Ask ChatGPT to mark exactly where the manual approach breaks down — that wedge is where free content earns the right to upsell.
Create a Quiz or Assessment Lead Magnet
8/30<context> Product: [PRODUCT] ICP: [ICP] Topic the audience cares about: [TOPIC] </context> <task> 1. Design a 6-8 question assessment that scores the reader on [TOPIC] readiness or maturity. 2. Write each question with multiple-choice answers weighted by points. 3. Define 3 result tiers (e.g. Beginner/Intermediate/Advanced) with a tailored 2-sentence diagnosis for each. 4. For each tier, recommend a personalized next step that maps to [PRODUCT]. 5. Write the email gate copy (headline + 2 lines) that gets people to enter their email to see results. </task>
A complete scored quiz with tiered results that segment and convert leads.
Pro tip: Have ChatGPT weight the scoring so most respondents land in a tier where your product is the natural fix — without it feeling rigged.
Write a Lead Magnet Promotion Post
9/30<context> Lead magnet: [MAGNET TITLE] What it delivers: [QUICK WIN] ICP: [ICP] Channel: [CHANNEL] </context> <task> 1. Write a promotional post for [CHANNEL] that hooks on the reader's pain in the first line. 2. Tease 2-3 specific things they will learn or get, framed as outcomes. 3. Add light proof or a relatable story to build credibility. 4. End with a frictionless CTA telling them exactly how to grab it (comment a keyword / click link). 5. Provide 3 alternative hooks I can A/B test. </task>
A scroll-stopping promo post plus three hooks to test.
Pro tip: For LinkedIn or X, ask ChatGPT for a 'comment a keyword' CTA — it drives more reach than an outbound link and keeps you in the feed.
Repurpose One Lead Magnet into a Content Funnel
10/30<context> Lead magnet: [MAGNET TITLE] Core takeaways: [3-5 KEY POINTS] Offer: [OFFER] </context> <task> 1. Break the lead magnet into 5 standalone social posts, each teaching one takeaway and pointing back to the full resource. 2. Outline 1 long-form blog post optimized for an SEO keyword the ICP would search. 3. Draft a short email that delivers the magnet and seeds the next step toward [OFFER]. 4. Suggest one short-form video script (15-30s) summarizing the single most surprising insight. 5. Map all assets into a 2-week distribution calendar. </task>
Turns one lead magnet into a full multi-channel funnel with a calendar.
Pro tip: Ask ChatGPT to lead each repurposed asset with a different takeaway so the same magnet keeps capturing leads across weeks.
Landing Pages & Opt-ins
5 promptsWrite a High-Converting Opt-in Landing Page
11/30<context> Lead magnet / offer: [OFFER] ICP: [ICP] Primary pain: [PAIN] Proof available: [TESTIMONIALS / NUMBERS / LOGOS] </context> <task> 1. Write a headline that leads with the specific outcome and a subheadline that names the audience. 2. Write 3-4 benefit bullets framed as outcomes, not features. 3. Add a short 'what you get' section listing the deliverables. 4. Insert a social-proof block using the proof provided. 5. Write the form CTA button copy and a one-line privacy reassurance under it. 6. Output the full page copy in order, ready to paste into a page builder. </task>
Complete, conversion-focused opt-in page copy from headline to button.
Pro tip: Ask ChatGPT for 3 headline variants at different awareness levels (problem-aware vs solution-aware) so you can match the traffic source.
Draft Opt-in Form Microcopy & Button Text
12/30<context> Offer: [OFFER] Form fields requested: [e.g. email only, or name + email] ICP: [ICP] </context> <task> 1. Write 5 button label options that emphasize the reward, not the action (avoid 'Submit'). 2. Write a one-line value reminder to place directly above the form. 3. Write reassurance microcopy for under the button (no spam / unsubscribe anytime / instant access). 4. Suggest the minimum field set that protects conversion rate and justify cutting any extra fields. 5. Output everything labeled by placement. </task>
Reward-focused form microcopy that lifts opt-in completion.
Pro tip: Push ChatGPT to cut fields aggressively — every extra field can drop conversion, so make it defend any field beyond email.
Write a Thank-You Page That Drives the Next Step
13/30<context> Lead magnet just delivered: [MAGNET] Next desired action: [e.g. book a call, start trial of [PRODUCT]] Offer: [OFFER] </context> <task> 1. Write a thank-you headline confirming success and setting expectations (where to find the resource). 2. Add a transition line that bridges from the free value to [OFFER]. 3. Write a single, clear secondary CTA for the next step with a low-pressure frame. 4. Suggest one trust element to include (testimonial, guarantee, or quick stat). 5. Keep it short and scannable; output the full thank-you page copy. </task>
A thank-you page that converts attention into the next conversion step.
Pro tip: The thank-you page is your most-engaged moment — tell ChatGPT to put the highest-intent CTA here, not buried in a later email.
Generate Landing Page A/B Test Variations
14/30<context> Current headline: [HEADLINE] Current CTA: [CTA] ICP: [ICP] Conversion goal: [GOAL] </context> <task> 1. Diagnose 3 likely reasons the current headline + CTA may underperform. 2. Write 4 headline variants using distinct angles: outcome, curiosity, fear-of-missing-out, and specificity/number. 3. Write 3 CTA button variants matched to those angles. 4. For each variant, state the hypothesis it tests in one sentence. 5. Recommend a test order and what metric to watch. </task>
Test-ready headline and CTA variants, each with a clear hypothesis.
Pro tip: Make ChatGPT attach a hypothesis to every variant — without it you cannot learn from a test, only get a winner you cannot explain.
Audit a Landing Page for Conversion Leaks
15/30<context> Paste current landing page copy: [PASTE FULL COPY] ICP: [ICP] Offer: [OFFER] </context> <task> 1. Evaluate the page against a checklist: clear value prop, message-match to source, scannability, single CTA, proof, friction, and objection handling. 2. Flag the 5 biggest conversion leaks in priority order. 3. For each leak, give a specific rewrite or fix, not generic advice. 4. Identify anything that creates doubt or hesitation in the first 5 seconds. 5. Output a prioritized punch list I can act on today. </task>
A prioritized punch list of the page's biggest conversion leaks and fixes.
Pro tip: Paste the full live copy, not a summary — ChatGPT can only catch friction and message mismatch when it sees the actual words.
Outbound Outreach
5 promptsWrite a Cold Email That Earns a Reply
16/30<context> Product: [PRODUCT] Prospect persona: [ROLE FROM ICP] Trigger / reason for reaching out: [TRIGGER] Offer: [OFFER] </context> <task> 1. Write a cold email under 90 words with a subject line under 5 words. 2. Open with a specific, personalized observation tied to [TRIGGER] — not a generic compliment. 3. State one crisp problem and the outcome [PRODUCT] delivers, with a credibility cue. 4. End with a low-friction, single-question CTA (no calendar link in the first email). 5. Provide 2 subject-line alternatives and 1 PS line option. </task>
A short, personalized cold email built around a real trigger and one ask.
Pro tip: Feed ChatGPT a real trigger (funding, hire, product launch) — relevance, not clever copy, is what gets cold emails answered.
Build a 5-Step Cold Outbound Sequence
17/30<context> Product: [PRODUCT] ICP: [ICP] Offer: [OFFER] Channels available: [email, LinkedIn, phone] </context> <task> 1. Design a 5-touch sequence over ~14 days, mixing the available channels. 2. For each touch, specify: day, channel, angle (problem, proof, value-add, social proof, break-up), and goal. 3. Write the copy for each touch (emails under 90 words; LinkedIn notes under 40 words). 4. Make each message add new value — never 'just following up'. 5. Output as a sequence table plus the full copy beneath it. </task>
A complete multi-channel outbound sequence with day-by-day copy.
Pro tip: Tell ChatGPT to ban the phrase 'just following up' — every touch must introduce a new angle or the sequence reads as nagging.
Write a LinkedIn Connection + Follow-up Flow
18/30<context> Product: [PRODUCT] Prospect persona: [ROLE] Reason to connect: [SHARED CONTEXT / TRIGGER] Offer: [OFFER] </context> <task> 1. Write a connection request note under 300 characters that gives a genuine reason to connect (no pitch). 2. Write a warm follow-up message to send 1-2 days after they accept that starts a conversation, not a sale. 3. Write a value-add message (resource, insight, or relevant question) for a few days later. 4. Write a soft transition message that introduces [OFFER] only once interest is shown. 5. Note the ideal spacing between each message. </task>
A non-spammy LinkedIn outreach flow from connection to soft pitch.
Pro tip: Tell ChatGPT to keep the connection note pitch-free — leading with an ask tanks acceptance rates and burns the prospect.
Personalize Outreach at Scale with Variables
19/30<context> Product: [PRODUCT] Base cold email: [PASTE YOUR TEMPLATE] Available data points per prospect: [e.g. company, role, recent post, tech stack] </context> <task> 1. Rewrite my template into a sequence-ready version with clearly marked {{variables}}. 2. For each variable, write 3 example fills so I can see the range. 3. Add one 'dynamic opener' line that changes based on the strongest available data point. 4. Flag any line that would sound robotic if a variable is missing, and write a safe fallback. 5. Output the templated email plus a variable reference table. </task>
A scalable, variable-driven email template with safe fallbacks.
Pro tip: Always ask for fallbacks — a missing merge field that prints 'Hi {{firstName}}' instantly marks the email as a mass blast.
Handle Common Outbound Objections
20/30<context> Product: [PRODUCT] Offer: [OFFER] Common replies received: [e.g. 'not now', 'too expensive', 'we use a competitor', 'no budget'] </context> <task> 1. For each objection, diagnose what the prospect is really saying underneath it. 2. Write a concise reply (under 70 words) that acknowledges, reframes, and keeps the conversation alive. 3. For each, include one question that surfaces whether it is a real blocker or a brush-off. 4. Suggest when to gracefully break up vs keep nurturing. 5. Output as an objection-handling playbook I can paste into my CRM. </task>
A reply-ready objection playbook that keeps cold conversations alive.
Pro tip: Ask ChatGPT to decode the real meaning behind each objection — 'too expensive' usually means 'I don't see the value yet,' which changes your reply.
Qualification & Scoring
5 promptsBuild a Lead Scoring Model
21/30<context> Product: [PRODUCT] ICP: [ICP] What a great lead looks like: [DESCRIBE] Data I can collect: [FORM FIELDS, BEHAVIOR, FIRMOGRAPHICS] </context> <task> 1. Design a point-based lead scoring model split into fit (firmographic/demographic) and engagement (behavioral) categories. 2. Assign point values to each attribute and behavior, with negative points for disqualifiers. 3. Define thresholds for cold / marketing-qualified / sales-qualified. 4. Specify what action triggers at each threshold (nurture, route to SDR, route to AE). 5. Output as a scoring table plus the routing rules. </task>
A fit + engagement scoring model with thresholds and routing rules.
Pro tip: Make ChatGPT include negative scoring — subtracting points for bad-fit signals (free email, wrong industry) prevents your pipeline from clogging with junk.
Write Qualification Questions (BANT / MEDDIC)
22/30<context> Product: [PRODUCT] Deal size: [PRICE] Sales motion: [self-serve / inside sales / enterprise] Framework preference: [BANT or MEDDIC] </context> <task> 1. Generate qualification questions mapped to each element of the chosen framework. 2. Phrase each as a natural, conversational question (not an interrogation). 3. For each, note the green-flag and red-flag answer to listen for. 4. Order the questions so the conversation flows logically and builds trust early. 5. Output as a discovery-call cheat sheet. </task>
A conversational discovery-call cheat sheet mapped to your qualification framework.
Pro tip: Tell ChatGPT your sales motion — BANT works for transactional deals, MEDDIC for enterprise; the wrong framework over- or under-qualifies.
Score and Triage an Inbound Lead List
23/30<context> ICP: [ICP] Lead data (paste rows): [NAME, COMPANY, SIZE, ROLE, SOURCE, NOTES] Offer: [OFFER] </context> <task> 1. Score each lead High / Medium / Low priority against the ICP and explain the score in one line. 2. Flag any obvious disqualifiers or missing data to enrich. 3. Recommend the right next action and channel per lead (call, email, nurture, disqualify). 4. Identify the top 5 leads to contact first and why. 5. Output as a triaged table sorted by priority. </task>
A triaged, prioritized lead list with a recommended action for each.
Pro tip: Paste leads in a clean table and ChatGPT will return them scored in the same structure — ready to drop straight into your CRM or sheet.
Define MQL and SQL Handoff Criteria
24/30<context> Product: [PRODUCT] ICP: [ICP] Marketing & sales teams: [DESCRIBE SETUP] Common complaint: [e.g. sales says leads are low quality] </context> <task> 1. Write an explicit definition of an MQL and an SQL with concrete, observable criteria (no vague language). 2. Define the handoff SLA: what data must be passed, in what timeframe, via what process. 3. List 3 'recycle' conditions where sales sends a lead back to nurture instead of rejecting it. 4. Suggest one shared metric that aligns marketing and sales on lead quality. 5. Output as a one-page handoff agreement. </task>
A concrete MQL/SQL handoff agreement that ends the lead-quality argument.
Pro tip: Force ChatGPT to use observable criteria ('requested a demo') over fuzzy ones ('seems interested') so the definition can't be argued with later.
Qualify Leads with a Pre-Call Research Brief
25/30<context> Product: [PRODUCT] Prospect: [NAME, COMPANY, ROLE] What I know so far: [PASTE NOTES, WEBSITE, LINKEDIN HIGHLIGHTS] Offer: [OFFER] </context> <task> 1. Summarize what this account likely cares about based on the info provided. 2. Infer their probable pains relevant to [PRODUCT] and rank by likelihood. 3. Draft 3 sharp discovery questions tailored to this specific prospect. 4. Flag any fit risks or red flags to verify on the call. 5. Output a one-page pre-call brief. </task>
A tailored pre-call brief that makes every discovery call sharper.
Pro tip: Paste their LinkedIn 'about' and recent posts — ChatGPT turns scattered profile details into pains and questions you'd otherwise miss.
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Nurture & Follow-up
5 promptsBuild a Lead Nurture Email Sequence
26/30<context> Product: [PRODUCT] Lead source / entry point: [e.g. downloaded [MAGNET]] ICP: [ICP] Goal of sequence: [e.g. book a demo of [OFFER]] </context> <task> 1. Design a 5-email nurture sequence over ~2 weeks moving the lead from awareness to intent. 2. For each email specify: send day, goal, angle (educate, story, proof, objection, CTA), and subject line. 3. Write each email under 150 words, value-first, with one clear CTA. 4. Escalate the CTA gradually — soft early, direct by the end. 5. Output as a sequence table plus full email copy. </task>
A complete 5-email nurture sequence with subject lines and copy.
Pro tip: Tell ChatGPT the entry point (which lead magnet they grabbed) so email 1 references it — continuity dramatically lifts open and reply rates.
Re-engage Cold or Dormant Leads
27/30<context> Product: [PRODUCT] List: [DESCRIBE — e.g. leads who went quiet 60+ days ago] Offer: [OFFER] What changed since: [NEW FEATURE / CASE STUDY / OFFER] </context> <task> 1. Write a 3-email win-back sequence: a pattern-interrupt re-opener, a value/proof email, and a final break-up email. 2. Use a fresh hook (the 'what changed') rather than 'just checking in'. 3. Keep each email under 100 words with one CTA. 4. Include one subject line per email designed to reopen a dead thread. 5. Suggest how to handle leads who still don't respond (suppress vs long-term nurture). </task>
A 3-email win-back sequence that revives dormant leads.
Pro tip: Give ChatGPT a real reason to reach out ('we shipped X you asked about') — win-backs fail when they have no new hook to justify the email.
Write Follow-up After a Demo or Call
28/30<context> Product: [PRODUCT] Call summary: [WHAT WAS DISCUSSED, PAINS, NEXT STEP AGREED] Prospect: [ROLE] Offer: [OFFER] </context> <task> 1. Write a recap email that mirrors back their stated pains and how [PRODUCT] addresses each. 2. Summarize the agreed next step and the timeline. 3. Attach the single most relevant proof point (case study / metric) for their situation. 4. Make the CTA frictionless and time-bound. 5. Provide a shorter alternative version for a busy executive, then output both versions. </task>
A tailored post-call follow-up that confirms next steps and momentum.
Pro tip: Paste your raw call notes — ChatGPT will mirror the prospect's exact words back to them, which makes the follow-up feel personal, not templated.
Create a Value-Add Nurture Content Plan
29/30<context> Product: [PRODUCT] ICP: [ICP] Sales cycle length: [e.g. 30-60 days] Offer: [OFFER] </context> <task> 1. Map the questions and doubts a lead has at each stage of a [SALES CYCLE]-long journey. 2. For each stage, recommend one piece of value-add content (guide, case study, comparison, ROI calculator) that resolves the doubt. 3. Note the channel and timing to deliver each. 4. Identify the one asset most likely to accelerate a stalled deal. 5. Output as a stage-by-stage nurture content map. </task>
A stage-by-stage content map that nurtures leads through the full cycle.
Pro tip: Ask ChatGPT to align each asset to a specific buyer doubt — content that answers a real objection nurtures far better than generic newsletters.
Draft a Break-up Email That Reopens Deals
30/30<context> Product: [PRODUCT] Lead status: [unresponsive after N touches] Offer: [OFFER] Value still on the table: [BENEFIT / OUTCOME] </context> <task> 1. Write a short break-up email (under 80 words) that gracefully closes the loop. 2. Use a no-pressure tone that removes the obligation to reply but leaves the door open. 3. Include one final, easy yes-or-no question. 4. Add a line that makes it effortless for them to re-engage later. 5. Provide 2 subject-line options known to get reopens. </task>
A graceful break-up email that often triggers a final reply.
Pro tip: The break-up email frequently outperforms earlier touches — tell ChatGPT to keep it genuinely low-pressure, because the relief of 'no obligation' is what prompts the reply.
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