LeadHaste
The Prompt Library

301 sales prompts that work the moment you paste them.

Cold email, cold calling, research, personalization, automation, every prompt here is built the way we build client systems: no fill-in-the-blank variables. Paste it, and the AI interviews you about your business before it writes a word. That's why the output doesn't sound like AI.

14 categories·Works with Claude, ChatGPT, Gemini & Copilot·Free. No email required.
01

Copy the prompt

One click. Every prompt works in Claude, ChatGPT, Gemini, or Copilot, no setup, no templates to edit.

02

Paste it into your AI

No {{variables}} to hunt down and replace. Nothing to fill in. The prompt is complete the moment you paste it.

03

Answer a few questions

The AI interviews you: your offer, your market, your prospect, then produces work that actually fits your business.

01Find your prompt

Filter by what you do, not what we named it.

301 prompts in the library

Account & Prospect ResearchIntermediate

Build a 10-minute company deep-dive brief before you touch an account

Produces a one-page, source-backed account brief with a fixed six-section structure: snapshot, revenue logic, recent momentum, evidence-based pressures, two outreach angles, and landmines to avoid. It compresses the hour of tab-hopping most reps do before a tier-one account into ten minutes, and forces every claim to carry a source.

Claude, ChatGPT, GeminiGet prompt →
LinkedIn & Social SellingIntermediate

Build a 3-touch LinkedIn DM sequence that escalates without annoying

Designs a complete 3-touch DM sequence where each message earns its place: a trigger-based opener, a value-led middle touch that isn't a bump, and a graceful close with no guilt-trip. Includes the psychology behind each touch and adapts wording to manual sending or tools like HeyReach.

Any LLMGet prompt →
Follow-Ups & SequencesBeginner

Build a complete 4-touch cold email sequence from scratch

Generates a launch-ready 4-touch sequence where each email plays a defined role — opener, proof, angle shift, close — with word caps, subject lines, and send delays included. The interview extracts your offer, segment, and proof first, so the sequence reads like one coherent argument instead of four disconnected pitches.

Any LLMGet prompt →
Discovery Calls & DemosBeginner

Build a discovery question bank tailored to one persona

Generates a 15-question discovery bank built around one persona's actual responsibilities and failure modes, organized by call stage, with listening notes on what strong and weak answers sound like. Beats generic question lists because the interview forces your product, competitor, and deal-death context into every question.

Any LLMGet prompt →
Cold Calling Scripts & OpenersBeginner

Build a full cold call script: opener, problem, value, CTA

Builds a complete, branching cold call script with labeled sections, stage notes for delivery, and pre-written pivots for the most likely prospect responses. Total talk time stays under 60 seconds. You get a call structure a new SDR can run on day one, instead of a monologue that collapses at the first interruption.

Any LLMGet prompt →
Negotiation, Proposals & ClosingIntermediate

Build a mutual action plan working back from a signature date

Builds a milestone-by-milestone mutual action plan backward from your signature date — owners, dates, dependencies, and a risk note per buyer-owned step — plus a forwardable version framed around the buyer's go-live, not your close. It also tells you honestly when the target date is fantasy.

Any LLMGet prompt →
Negotiation, Proposals & ClosingIntermediate

Build a negotiation prep brief with leverage, concessions, and a walk-away point

Produces a one-page prep brief that maps the buyer's leverage against yours, sets a concrete walk-away point with the sentence to deliver it, and pre-plans responses to their three most likely demands. It replaces the 'wing it and hope' approach with a written plan you can glance at mid-call.

Any LLMGet prompt →
Sales Strategy & PlanningIntermediate

Build a quarterly outbound plan that survives contact with reality

Produces a complete quarterly outbound plan — pipeline math, prioritized segments, 3-5 concrete plays, a launch calendar, and named risks — grounded in your actual win rate and team capacity. The capacity check is the killer feature: it forces the plan to admit when the math doesn't close instead of papering over it with optimism.

Any LLMGet prompt →
Automation & Workflow DesignAdvanced

Build a system prompt for an AI cold email reply agent

Interviews you about your offer, booking flow, and voice, then generates a complete production system prompt for an AI reply agent — classification taxonomy, response rules, escalation conditions, and a strict JSON output contract an n8n or Zapier workflow can parse. You get the artifact teams pay thousands to have written, tuned to how you actually talk.

Claude, ChatGPT, GeminiGet prompt →
Cold Calling Scripts & OpenersIntermediate

Cold call role-play: the AI plays a skeptical VP and scores your performance

Turns the model into a realistic, interruption-prone VP buyer who objects, tests, and warms or cools based on how you actually perform, then scores you across five dimensions with the exact moment you lost them and a drill to fix it. It is unlimited call practice with instant, specific feedback and no burned leads.

Any LLMGet prompt →
Reply & Objection HandlingBeginner

Convert a positive reply into a booked meeting before it cools off

Closes the gap where outbound pipelines leak most — between 'interested' and 'booked'. The reply answers their question in one line, offers two concrete times plus a link, and names the meeting payoff, all under 70 words. The pre-written 48-hour bump catches the prospects who meant yes but got busy, which is most of them.

Any LLMGet prompt →
ICP, Targeting & Lead ScoringBeginner

Define your ICP from your 10 best customers

Reverse-engineers a tight, one-page ICP from your actual closed-won history instead of aspirational guesswork. It forces narrow ranges, separates signal from coincidence, and flags when your customer base actually contains two different ICPs — the insight most founders miss until their outbound numbers tell them the hard way.

Any LLMGet prompt →
ICP, Targeting & Lead ScoringIntermediate

Design a lead scoring model with firmographic and behavioral points

Produces a complete, implementable lead scoring model: firmographic fit points, behavioral intent points with decay and negative scoring, threshold bands tied to actions, and a monthly validation loop. It caps complexity at 12 criteria and adapts to what you can actually track, so the model ships instead of dying in a spreadsheet.

Any LLMGet prompt →
Sales Strategy & PlanningIntermediate

Design an irresistible B2B offer with the value equation

Applies the value equation to your actual B2B offer instead of leaving it as a book concept. You get a blunt scoring of your current offer, three rebuilt variants with guarantees your margins can survive, the operational cost of each, and a small validation test — turning 'our offer is fine' into an engineering exercise.

Any LLMGet prompt →
Call Transcript Analysis & CoachingIntermediate

Extract every objection from a call transcript and grade how it was handled

Pulls every objection out of a transcript — including the soft, disguised ones reps miss — with verbatim quotes, a diagnosis of the real concern, a letter grade on the rep's response, and a better line for next time. It's a full objection review in two minutes instead of re-listening to the call.

Claude, ChatGPT, GeminiGet prompt →
Personalization at Scale (Clay & Claygents)Advanced

Generate a cold email first line from scraped research data

The workhorse of AI-personalized outbound: converts whatever research your enrichment waterfall produced into one 12–22-word observation-led first line per row. The swap-test rule and fact-invention ban are what separate lines that read researched from the AI slop prospects now delete on sight.

Any LLMGet prompt →
Sales Copywriting & AssetsBeginner

Generate an outcome-first value proposition buyers can repeat

Builds a complete value proposition system — primary line, three angle variations, a disqualifier, and channel-ready versions — instead of one throwaway tagline. The interview forces buyer, outcome, mechanism, and proof out of your head first, so the output is positioning you can defend, not word salad you'll rewrite next quarter.

Any LLMGet prompt →
Cold Email WritingBeginner

Get your cold email critiqued and scored like a skeptical prospect

Runs your cold email through a three-pass review: a brutal line-by-line read from a busy prospect's perspective, a five-dimension strategic score, and a rewrite that fixes the weakest dimensions. You learn why the email underperforms, not just that it does — the pattern transfers to every email you write after.

Any LLMGet prompt →
Reply & Objection HandlingBeginner

Handle 'we already have a vendor' without trashing the competitor

Turns the most common outbound objection into a wedge conversation. Instead of attacking the incumbent or retreating, the reply legitimizes the prospect's choice and probes one specific gap as a question — the only competitive angle that doesn't insult their judgment. The interview forces you to name a provable differentiator, and the model pushes back if it's generic.

Any LLMGet prompt →
Account & Prospect ResearchBeginner

Scan an account for trigger events: news, funding, leadership moves, layoffs

Runs a structured six-month trigger-event sweep on one account — funding, leadership changes, layoffs, launches, expansion, legal news — and returns a dated, sourced signal log, the top three events ranked by outreach value, a ready-to-adapt angle for the best one, and an honest timing call including 'no trigger exists.' It turns 'why now' from a guess into evidence.

Claude, ChatGPT, GeminiGet prompt →
Call Transcript Analysis & CoachingIntermediate

Score a sales call against MEDDIC or SPICED with a coaching scorecard

Turns any transcript into a framework scorecard with a 0–3 score per element, verbatim evidence behind every score, and the exact question that would close each gap. Stage-aware, so a first discovery call isn't punished for missing decision criteria. It's the deal-review prep that used to take a manager 45 minutes per call.

Claude, ChatGPT, GeminiGet prompt →
Personalization at Scale (Clay & Claygents)Advanced

Turn a Claygent website scrape into a personalized one-liner

Produces a sub-25-word, website-specific opening line for every row in a Clay table — no human in the loop. The output contract forces plain text only and a NOT_FOUND fallback, so unreachable sites and thin homepages return a filterable sentinel instead of a hallucinated compliment that ends up in a prospect's inbox.

Claude, ChatGPT, GeminiGet prompt →
Automation & Workflow DesignIntermediate

Turn a manual sales process into an automation blueprint

Converts a fuzzy 'we do this by hand every week' description into a structured blueprint with a detectable trigger, labeled steps, edge cases, human checkpoints, and failure alerts. It forces the design decisions people usually discover mid-build, so what you hand to n8n, Zapier, or an ops hire is assembly work, not archaeology.

Any LLMGet prompt →
Sales Copywriting & AssetsIntermediate

Write a case study from a raw customer interview transcript

Turns a raw, rambling customer interview into a publish-ready case study — result-led headline, snapshot metrics box, four-part story, and verbatim pull quotes — while refusing to invent quotes or numbers. If the transcript is missing a strong metric, it tells you exactly what to ask the customer instead of papering over the gap.

Claude, ChatGPT, GeminiGet prompt →
Cold Email WritingBeginner

Write a complete cold email from scratch

Produces a complete, send-ready cold email of 60-100 words with the four-part spine that books meetings: reason, problem, proven outcome, soft ask. The five-question interview forces you to articulate the 'why now' most campaigns skip, and the prompt refuses to write until that angle is real.

Any LLMGet prompt →
LinkedIn & Social SellingBeginner

Write a connection request note (and decide if you should send one at all)

Settles the with-note or without-note question for your specific situation instead of applying a blanket rule, then writes two sub-280-character note variants with a real reason to connect and zero pitch. You get a defensible strategy call plus copy to test, not just another template.

Any LLMGet prompt →
Discovery Calls & DemosBeginner

Write a post-discovery summary email that mirrors their words

Produces a sub-180-word summary email built on the prospect's verbatim phrases, with impact-paired bullets, an invitation to correct you, and next steps with your commitments listed first. Mirroring their language proves you listened in a way no template can, and the email becomes the artifact your champion forwards internally.

Any LLMGet prompt →
Follow-Ups & SequencesBeginner

Write value-add bump emails that never say 'just following up'

Produces touch 2 and touch 3 bump emails that each introduce a new angle — proof, insight, or resource — instead of re-asking for attention. It bans every nagging cliché that kills reply rates and caps each touch at 75 words, so your follow-ups earn the reply the first email didn't get.

Any LLMGet prompt →
Cold Calling Scripts & OpenersIntermediate

Adapt your cold call script to a new industry without losing what works

Rewrites your proven script for a new vertical while preserving its structure, marking every change with the reason, and delivering an industry brief, shifted objections, and the outsider red flags in your original. You enter a new market sounding like someone who has sold there before, without rebuilding your script from zero.

Any LLMGet prompt →
Sales Copywriting & AssetsIntermediate

Align your cold email and landing page so the click doesn't break the story

Audits your cold email and landing page side by side, finds where the story breaks between click and page, and fixes the cheaper side with minimum edits. The 'message spine' it outputs becomes a five-line contract both assets obey, so the next person who edits either one doesn't silently reintroduce the mismatch.

Any LLMGet prompt →
Personalization at Scale (Clay & Claygents)Intermediate

Analyze a pricing page for sales-relevant intelligence

Extracts a structured pricing profile from any pricing page: model, tier count, exact displayed prices, free-offer type, and a one-line read on their sales motion. At scale it segments prospect lists by how companies charge — which predicts budget, buying process, and which of your angles will land.

Claude, ChatGPT, GeminiGet prompt →
Call Transcript Analysis & CoachingIntermediate

Analyze talk ratio and question quality from a call transcript

Measures what conversation intelligence tools measure — talk ratio, question count — but adds the layer they skip: classifying every question by type and quality, and pinpointing the exact moments a rep should have dug deeper instead of moving on. Works from any transcript, no Gong seat required.

Claude, ChatGPT, GeminiGet prompt →
Call Transcript Analysis & CoachingIntermediate

Annotate a great call to onboard new reps

Converts your best call recording into annotated game film for onboarding: 10–15 key moments with the move named, why it worked, and what a rookie would have done instead — plus the invisible restraint moves, five lines worth stealing verbatim, and one honest imperfection so new reps learn judgment, not imitation.

Claude, ChatGPT, GeminiGet prompt →
Cold Calling Scripts & OpenersIntermediate

Annotate your script with tonality, pacing, and pause marks

Turns your script into a performance document: inline pause marks, stress caps, pacing shifts, and falling-inflection notes on your exact words, plus your three danger zones, mandatory silences with durations, and a 60-second vocal warm-up. It coaches the half of cold calling that word-focused script work never touches.

Any LLMGet prompt →
Reply & Objection HandlingBeginner

Answer 'can you guarantee results?' without overpromising or dodging

Answers the guarantee question the way buyers actually mean it — proof, downside protection, and shared risk — without the overpromise that becomes churn or the dodge that reads as no confidence. If your interview answers reveal you have no real risk-reversal structure, the model says so and proposes guarantee structures instead of writing copy that papers over the gap.

Any LLMGet prompt →
Reply & Objection HandlingBeginner

Answer 'how are you different from [competitor]?' in a reply thread

Produces the comparison answer that wins shortlists: one sharp axis of difference instead of a feature dump, genuine credit to the competitor, one proof point, and — the trust multiplier — an honest sentence about who the competitor is better for. If the prospect's use case actually favors the competitor, the model tells you before you draft, not after you lose.

Any LLMGet prompt →
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