Prompt Library

ChatGPT Prompts for Lead Generation

30 copy-paste prompts

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 5 prompts are free instantly, no signup needed. Drafted with AI writing assistance and checked against our editorial policy.

Louis Corneloup
By Louis Corneloup · Founder, Techpresso
Last updated ·Drafted with AI assistance (how we make prompts)

ICP & Targeting

5 prompts

Build a Detailed Ideal Customer Profile

1/30

✨ What it does

ChatGPT synthesizes a one-page ideal customer profile for [PRODUCT] from [LIST 3-5 ACCOUNTS OR DESCRIBE THEM], including size, industry, and filters that match [PROBLEM] and [PRICE]. You load those filters into your prospecting tool and start the list.

<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>

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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

✨ What it does

ChatGPT breaks [MARKET] into five to seven niches for [PRODUCT], each with the acute pain, willingness to pay, and competition around [OFFER]. You pick the beachhead niche and ignore the rest until that one converts.

<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>

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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

✨ What it does

ChatGPT maps the buying committee for [PRODUCT] at [PRICE]: champion, economic buyer, technical evaluator, and blockers, with motives and proof. You decide who to reach first and what proof each person needs.

<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>

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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

✨ What it does

ChatGPT defines firmographic, technographic, and intent criteria plus buying signals for a tight ~50-account list for [PRODUCT]. You score accounts against that rubric and keep only the ones that clear it.

<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>

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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

✨ What it does

ChatGPT writes a persona-by-persona messaging matrix for the roles you listed, pairing each pain with a [PRODUCT] capability and outcome around [OFFER]. You use each row in the email or page aimed at that role.

<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>

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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.

Lead Magnets

5 prompts

Brainstorm High-Converting Lead Magnet Ideas

6/30

✨ What it does

ChatGPT generates ten lead magnet ideas for [PRODUCT] across checklists, templates, and assessments, ranked for your [CHANNEL]. You choose the high-value, low-effort idea and build that one.

<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>

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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

✨ What it does

ChatGPT outlines [MAGNET IDEA] section by section so each takeaway builds belief that [PRODUCT] is the obvious next step toward [OFFER]. You write the magnet from that outline and cut sections that do not pre-sell.

<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>

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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

✨ What it does

ChatGPT designs a scored 6 to 8 question assessment on [TOPIC] for people who would buy [PRODUCT], with three result tiers that segment and convert. You build the quiz and point each tier at a different next step.

<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>

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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

✨ What it does

ChatGPT writes a promo post for [MAGNET TITLE] on [CHANNEL] that hooks on pain, teases [QUICK WIN], and includes three alternate hooks. You publish the strongest hook and save the others for a test.

<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>

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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

✨ What it does

ChatGPT turns [MAGNET TITLE] and [3-5 KEY POINTS] into five social posts, a blog outline, and a path toward [OFFER]. You schedule those posts and write the article from the outline.

<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>

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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 prompts

Write a High-Converting Opt-in Landing Page

11/30

✨ What it does

ChatGPT writes full opt-in page copy for [OFFER] that leads with the outcome for the pain in [PAIN] and uses [TESTIMONIALS / NUMBERS / LOGOS]. You paste the headline, bullets, and button into the page and ship it.

<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>

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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

✨ What it does

ChatGPT writes five reward-focused button labels, a value line, and reassurance microcopy for [OFFER] on a form that asks only for email or name plus email. You replace Submit with the best label and keep the fields short.

<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>

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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

✨ What it does

ChatGPT writes a thank-you page that confirms [MAGNET] arrived and bridges to [OFFER] as the next step. You publish that page as the redirect and make the next action one click.

<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>

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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

✨ What it does

ChatGPT diagnoses why [HEADLINE] and [CTA] may be weak, then writes four headline and three button variants with a hypothesis for [GOAL]. You test one pair at a time and keep the winner.

<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>

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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

✨ What it does

ChatGPT audits [PASTE FULL COPY] against value, scent, scan, one call to action, proof, and friction, then lists the five biggest leaks around [OFFER]. You fix the top leak first and retest the page.

<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>

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Pro tip: Paste the full live copy, not a summary — ChatGPT can only catch friction and message mismatch when it sees the actual words.

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Outbound Outreach

5 prompts

Write a Cold Email That Earns a Reply

16/30

✨ What it does

ChatGPT writes a cold email under 90 words for [PRODUCT] aimed at the prospect role, opening on [TRIGGER] with one ask around [OFFER]. You personalize the trigger line and send it to that person only.

<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>

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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

✨ What it does

ChatGPT designs a 5-touch, ~14-day sequence for [PRODUCT] across [email, LinkedIn, phone], with day, angle, and copy for each touch toward [OFFER]. You load the sequence and stop when they reply.

<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>

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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

✨ What it does

ChatGPT writes a LinkedIn connection note under 300 characters plus a warm follow-up for [ROLE], using [SHARED CONTEXT / TRIGGER] and no pitch for [PRODUCT]. You send the note, then the follow-up a day or two after they accept.

<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>

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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

✨ What it does

ChatGPT rewrites [PASTE YOUR TEMPLATE] with marked variables for company, role, recent post, and tech stack, plus safe fallbacks for [PRODUCT]. You fill the variables per row and use the fallback when a field is empty.

<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>

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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

✨ What it does

ChatGPT writes a short reply for each common brush-off around [OFFER] (not now, price, competitor, budget) that acknowledges and keeps the thread alive. You paste the matching reply and offer one easy next step.

<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>

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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 prompts

Build a Lead Scoring Model

21/30

✨ What it does

ChatGPT designs a fit-plus-engagement scoring model for [PRODUCT] from [FORM FIELDS, BEHAVIOR, FIRMOGRAPHICS] with thresholds and routing. You implement the points and send only high scores to sales.

<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>

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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

✨ What it does

ChatGPT writes conversational discovery questions mapped to [BANT or MEDDIC] for [PRODUCT] at [PRICE] in a [self-serve / inside sales / enterprise] motion. You keep that sheet open on the call and skip anything that sounds like an interrogation.

<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>

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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

✨ What it does

ChatGPT scores each row in [NAME, COMPANY, SIZE, ROLE, SOURCE, NOTES] High, Medium, or Low and recommends the next action toward [OFFER]. You call the High leads first and enrich anything flagged as incomplete.

<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>

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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

✨ What it does

ChatGPT writes explicit MQL and SQL definitions for [PRODUCT] with observable criteria, a handoff SLA, and required fields for [DESCRIBE SETUP]. You get marketing and sales to sign that document so quality fights stop.

<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>

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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

✨ What it does

ChatGPT builds a pre-call brief for [NAME, COMPANY, ROLE] from [PASTE NOTES, WEBSITE, LINKEDIN HIGHLIGHTS], ranking likely pains for [PRODUCT]. You read the brief before you dial and lead with the top pain.

<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>

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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 prompts

Build a Lead Nurture Email Sequence

26/30

✨ What it does

ChatGPT designs a 5-email, ~2-week nurture for [PRODUCT] that moves a new lead from awareness to intent around the offer. You load the emails, set the days, and point the last one at a booking.

<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>

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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

✨ What it does

ChatGPT writes a 3-email win-back for [PRODUCT] using [NEW FEATURE / CASE STUDY / OFFER] as a fresh hook for people who went quiet. You send it to [DESCRIBE] and suppress anyone who still stays silent.

<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>

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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

✨ What it does

ChatGPT writes a recap email that mirrors [WHAT WAS DISCUSSED, PAINS, NEXT STEP AGREED] for [ROLE] and ties each pain to [PRODUCT]. You send it the same day and attach only the one asset you promised.

<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>

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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

✨ What it does

ChatGPT maps doubts across a [SALES CYCLE] journey for [PRODUCT] and recommends one value-add asset per stage toward [OFFER]. You assign each asset to a week and stop sending product pitches in the early stages.

<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>

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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

✨ What it does

ChatGPT writes a short break-up email for [PRODUCT] after [unresponsive after N touches] that closes the loop without pressure and leaves [BENEFIT / OUTCOME] on the table. You send it once and archive the thread if they stay quiet.

<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>

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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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Frequently Asked Questions

Copy a prompt, replace the bracketed placeholders like [PRODUCT], [ICP], and [OFFER] with your real details, and paste it into ChatGPT. The more specific your inputs — real customer notes, actual triggers, your exact offer — the better the output. Treat the first response as a draft and refine with follow-up instructions.
[PRODUCT] is what you sell, [ICP] is your ideal customer profile (the company and persona you target), and [OFFER] is the specific thing you want leads to take — a demo, trial, or purchase. Fill these in before running any prompt. If you don't have an ICP yet, start with the ICP & Targeting category to build one.
Start with ICP & Targeting to clarify who you're selling to — everything downstream depends on it. Then build a lead magnet and opt-in page to capture leads, layer in outbound outreach to drive volume, and set up qualification and nurture to convert. Working in that order keeps your funnel coherent.
No. ChatGPT can define who to target and write the criteria and search strings to find them, but it cannot pull real, verified contact data. Use it for strategy, messaging, and scoring, then feed criteria into a prospecting or enrichment tool for actual lead data. Always verify any specifics it produces.
Give ChatGPT real raw material: paste sales call notes, customer quotes, your actual landing page copy, or live lead data. Ask it to use your buyer's vocabulary instead of marketing jargon, request multiple variants to test, and attach a hypothesis to anything you'll A/B test so you can learn from the result.

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