LeadHaste

Discovery Calls & Demos prompts

Prompts that turn discovery calls and demos into deals โ€” better questions, sharper storylines, and follow-ups that mirror the prospect's own words.

53 prompts ยท paste-ready, no variables to fill ยท free

Cold outbound gets you the meeting. What happens on that meeting decides whether it becomes revenue. These prompts cover the full arc from pre-call prep to post-call momentum: building question banks tuned to a specific persona, forming pain hypotheses before you dial in, structuring demos as storylines instead of feature tours, and writing the summary emails and mutual action plans that keep deals moving.

They're built for AEs and founders who run their own calls, sales leaders coaching a team, and SDRs who want their handoffs to convert. The pattern is the same across all of them: feed the LLM your real context โ€” account notes, transcripts, your ICP โ€” and it does the prep work that most reps skip because it takes 45 minutes by hand.

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 โ†’
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 โ†’
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 0โ€“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 โ†’
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 โ†’
Call Transcript Analysis & CoachingIntermediate

Analyze talk ratio and question quality from a call transcript

Measures what conversation intelligence tools measure โ€” talk ratio, question count โ€” 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 โ†’
Call Transcript Analysis & CoachingIntermediate

Audit the quality of your discovery questions

Isolates the single highest-leverage skill in selling โ€” questioning โ€” and audits it line by line: every question typed, what it earned, and whether the rep followed up or fled to the next list item. Surfaces the gold-mine answers that got abandoned, with the follow-up that was sitting right there.

Claude, ChatGPT, GeminiGet prompt โ†’
Automation & Workflow DesignIntermediate

Automate the meeting-booked to CRM to onboarding handoff

Maps and automates every seam from calendar booking to onboarding kickoff: field-mapped CRM creation, automatic AE pre-meeting packages, no-show branches, same-day closed-won handoffs, and scheduled orphan checks at every stage. The leak-detection layer is the differentiator โ€” handoffs fail silently, and this design makes silence detectable.

Any LLMGet prompt โ†’
Discovery Calls & DemosIntermediate

Build a demo storyline from your discovery notes

Converts raw discovery notes or a transcript into a three-act demo storyline that opens on the prospect's problem in their own words, sequences scenes by deal importance, tells you what NOT to show, and scripts the close. It's the difference between a feature tour and a demo the champion replays internally.

Any LLMGet prompt โ†’
Discovery Calls & DemosAdvanced

Build a multi-threading plan for a stalled single-threaded deal

Diagnoses why your single-threaded deal stalled, maps the three or four other roles you need relationships with, and writes both paths in: language that gets your contact to introduce you, and direct outreach that references the live evaluation without burning the relationship. Turns 'my contact went dark' from a dead deal into a workable plan.

Any LLMGet prompt โ†’
Sales Copywriting & AssetsIntermediate

Build a sales deck narrative arc: problem, shift, proof, ask

Structures your pitch into a 10-12 slide narrative arc โ€” problem, shift, proof, ask โ€” with full-sentence headlines that carry the argument on their own, evidence notes, and talk-track lines per slide. It replaces the product-tour deck with a story that ends in a decision, plus a 60-second fallback when the meeting gets compressed.

Any LLMGet prompt โ†’
Account & Prospect ResearchBeginner

Build an executive profile brief before a meeting with a decision-maker

Produces a one-page executive brief before a high-stakes meeting: career pattern, likely mandate and metrics, sourced quotes, an evidence-based read on their meeting style, and three homework-signaling questions. It replaces frantic pre-call LinkedIn scrolling with a structured prep doc that keeps to public, professional information.

Any LLMGet prompt โ†’
Discovery Calls & DemosIntermediate

Build the 'why change, why now' narrative for a deal

Constructs the two-act narrative that beats the status quo: why the current approach stopped making sense, a fair-minded audit of the do-nothing case with honest counters, and urgency anchored to real events in the prospect's world rather than your quarter-end. Includes deployment notes on where each piece belongs โ€” call, email, or champion.

Any LLMGet prompt โ†’
Cold Calling Scripts & OpenersBeginner

Close the cold call to a booked meeting, not a 'send me info'

Delivers a four-part closing kit: a sub-45-word main close with built-in pain recap and two time options, converters for soft yeses and info requests, and a confirmation ritual that cuts no-shows. It fixes the most expensive moment in cold calling: interest that evaporates because the ask was mushy.

Any LLMGet prompt โ†’
Discovery Calls & DemosBeginner

Convert a good first call into a booked second call

Engineers the first-to-second-call conversion: a second-call offer the prospect actually wants, the exact closing language for the final five minutes, a sub-120-word same-day email, and a no-show insurance message. Fixes the highest-leakage moment in most pipelines โ€” the warm call that never becomes a scheduled next step.

Any LLMGet prompt โ†’
Discovery Calls & DemosIntermediate

Create a champion enablement one-pager that sells for you internally

Produces a one-page internal business case written in your champion's voice โ€” problem costs, an honest option comparison, the recommendation, and pre-answered leadership questions. Because it reads like an internal memo rather than vendor collateral, champions actually forward it, and it does your selling in the meetings you'll never attend.

Any LLMGet prompt โ†’
ICP, Targeting & Lead ScoringIntermediate

Customize BANT, MEDDIC, or SPICED to your sales motion

Picks the right qualification framework for your specific motion โ€” then rebuilds every element for your context, with the discovery question that surfaces it, strong-versus-weak answer examples, and stage gates. The honesty tests catch wishful-thinking qualification, which is how frameworks actually fail in practice.

Any LLMGet prompt โ†’
Discovery Calls & DemosAdvanced

Design a trial-to-paid conversion plan for a prospect

Turns a hope-based trial into a designed conversion path: pre-agreed success criteria, an engineered first-value moment in the opening days, value-add touchpoints tied to trial days, a mid-trial readout with honest bad-usage branches, and a conversion conversation booked before day one. Built to fix wherever your trials currently die.

Any LLMGet prompt โ†’
Sales Strategy & PlanningIntermediate

Design your sales process: stages with real exit criteria

Replaces activity-named stages that predict nothing with a 5-7 stage model where every exit criterion is a verifiable buyer action a manager can audit. Includes the CRM field plan, stage-skip and regression rules, and the rollout meeting โ€” plus an honest preview of how much fake pipeline disappears when stages require evidence.

Any LLMGet prompt โ†’
Discovery Calls & DemosBeginner

Draft a discovery call agenda prospects actually agree to

Produces a short pre-call email plus a four-item agenda framed entirely around what the prospect gains, with time boxed for mutual next steps. Sending it converts a vague meeting into a shared contract, raises show rates through the micro-commitment reply, and positions you as the most organized vendor they're talking to.

Any LLMGet prompt โ†’
Discovery Calls & DemosIntermediate

Draft a mutual action plan the prospect will co-own

Builds a backward-planned mutual action plan anchored to the prospect's go-live milestone, with named owners on both sides, the procurement and security steps deals actually die on, and deliberate blanks the prospect must fill in โ€” plus the send note that frames it as theirs to edit. Converts deal drift into a shared commitment device.

Any LLMGet prompt โ†’
Discovery Calls & DemosIntermediate

Form a pre-call pain hypothesis before your discovery call

Turns raw account research into a ranked, falsifiable pain hypothesis with an opener that positions you as informed rather than interrogating, plus validation questions and an explicit qualify-out signal. It replaces 45 minutes of unfocused pre-call reading with a brief you can act on in the first five minutes of the call.

Any LLMGet prompt โ†’
Discovery Calls & DemosBeginner

Generate a note-taking template for your sales motion

Designs a discovery note template where every field has a downstream customer โ€” the follow-up email, demo build, forecast, or handoff โ€” plus a during-call versus after-call split, one-keystroke red-flag codes, and both plain-text and markdown formats. Kills both blank-page notes and the 40-field CRM form nobody fills.

Any LLMGet prompt โ†’
Account & Prospect ResearchIntermediate

Generate ranked pain hypotheses for an account from public signals

Converts a pile of raw public signals into 4-6 falsifiable pain hypotheses, each graded by evidence strength, costed if true, and ranked by fit with your product โ€” plus the discovery question and email opener that would test the top two. It replaces persona-based guessing with evidence-based hypotheses you can confirm or kill in one conversation.

Any LLMGet prompt โ†’
Discovery Calls & DemosIntermediate

Generate realistic story data for your demo environment

Generates a coherent demo dataset โ€” realistic records in your prospect's industry language, deliberately planted records that make each demo beat land, background texture so the plants don't stand alone, and living timestamps. Replaces 'Test Company 123' with set design that lets prospects see themselves in the product.

Any LLMGet prompt โ†’
Discovery Calls & DemosBeginner

Handle 'just show me the product' without losing the deal

Arms you for the show-me-the-product moment with a diagnosis of why prospects say it, bridge lines in three registers that agree first and trade for context second, discovery questions disguised as demo navigation, a graceful path for the hard-case silent evaluator, and a close that recovers the skipped discovery. Neither caving nor stonewalling.

Any LLMGet prompt โ†’
Account & Prospect ResearchIntermediate

Identify likely champions inside an account from LinkedIn signals

Scores potential champions at a target account on the three things that actually predict championing โ€” pain proximity, internal credibility, and motivation โ€” instead of title. You get a ranked scorecard with reasoning, the likely anti-champion and how to route around them, an activation path for the top pick, and the missing person you haven't found yet.

Any LLMGet prompt โ†’
Account & Prospect ResearchIntermediate

Map a prospect's competitive landscape and the pressures it creates

Maps the competitive field around a target account โ€” who they actually fight, where they're winning and exposed, recent competitive events โ€” then translates that landscape into the internal pressures your buyer is feeling and two outreach angles built on them. It gives you the 'why now' that comes from their market, not your product.

Claude, ChatGPT, GeminiGet prompt โ†’
Account & Prospect ResearchIntermediate

Map the buying committee and org structure inside a target account

Builds a buying committee map from whatever account intel you paste in: the roles that get a vote at your deal size, what each person cares about and fears, a read on real budget authority versus title, the dangerous gaps in your map, and the order to work relationships in. Inferred roles are labeled, so you know what's evidence and what's hypothesis.

Any LLMGet prompt โ†’
ICP, Targeting & Lead ScoringIntermediate

Map your buying committee and their conflicting priorities

Maps the full buying committee for your deals โ€” including the stakeholders you never meet โ€” and, critically, where their priorities collide. You get veto powers with early-warning signs, reconciliation arguments for each conflict, and a coverage plan that tells you which stakeholders need direct outreach versus champion enablement.

Any LLMGet prompt โ†’
Account & Prospect ResearchIntermediate

Mine G2 reviews of a prospect's product to learn their pains

Mines public reviews of your prospect's own product to reveal what their internal teams get beaten up about: complaint clusters with frequency and severity, who inside the company owns each pain, whether it's growing, and which pains your product genuinely addresses. It's discovery intel gathered before anyone takes your call.

Any LLMGet prompt โ†’
Account & Prospect ResearchIntermediate

Mine Glassdoor reviews for internal pain signals at a target account

Extracts operational intelligence from employee reviews of a target account โ€” broken tooling, manual process complaints, understaffing, leadership churn โ€” with an explicit bias check on the sample, a department-level read, and the selling implications. It also draws the hard line: this intel shapes strategy and discovery questions, and never appears in outreach.

Any LLMGet prompt โ†’
Account & Prospect ResearchIntermediate

Mine an earnings call transcript for priorities you can sell against

Converts a dense earnings call transcript into a sales-ready read: the priorities executives actually repeated, the questions they dodged, named initiatives, budget signals, and a one-line opener quoting a specific speaker. It surfaces the difference between scripted messaging and honest signal, which is where the sellable angles live.

Claude, ChatGPT, GeminiGet prompt โ†’
Follow-Ups & SequencesIntermediate

Nudge a quiet internal champion without burning goodwill

Builds a 3-touch sequence for the champion who went quiet: arm them with a forwardable tool, reduce their internal risk, then release the pressure gracefully โ€” with a read on what each possible reply says about deal health. Every touch makes their internal job easier instead of reminding them they owe you an update.

Any LLMGet prompt โ†’
Reply & Objection HandlingBeginner

Overcome 'we tried something like this and it didn't work'

Handles the scar-tissue objection the only way that works: diagnosis before differentiation. The reply validates their failed attempt as real data, asks one easy diagnostic question, and names the category's common failure pattern without rebutting their experience. You also get pre-drafted follow-ups for each likely failure cause, so their answer slots straight into your next email.

Any LLMGet prompt โ†’
Discovery Calls & DemosIntermediate

Personalize one demo script for every stakeholder in the room

Maps every demo attendee to their silent question, their high-relevance moments with name-addressed talk lines, their skepticism trigger with a preemption, and the one sentence you want each repeating internally. Turns a single demo flow into a call where every stakeholder feels the demo was built for them.

Any LLMGet prompt โ†’
Account & Prospect ResearchBeginner

Prep a pre-demo company research brief that shapes the demo itself

Builds a research brief specifically shaped for an upcoming demo: the company in one breath, current signals, the lens they'll likely evaluate through, which capabilities to lead with and which to deliberately skip, industry-language framing per capability, and the hard questions to prep. It turns research into demo decisions instead of trivia.

Claude, ChatGPT, GeminiGet prompt โ†’
Discovery Calls & DemosIntermediate

Prep an objection cheat-sheet for a specific account

Predicts the six objections one specific account is most likely to raise, explains the account-level reason behind each, and arms you with validate-reframe-advance responses plus the trap response to avoid. Because it's built from the actual deal history and your honest weaknesses, it prepares you for the call you'll actually have.

Any LLMGet prompt โ†’
Discovery Calls & DemosAdvanced

Prepare for the ROI conversation before they ask

Prepares the entire ROI conversation: the numbers to elicit from the prospect and the natural questions that surface them, a three-step model connecting their figures to your price, a deliberately conservative case, a do-not-claim list, and payback framing. Builds the credibility that vendor-authored ROI decks never have.

Any LLMGet prompt โ†’
Follow-Ups & SequencesBeginner

Recover a no-show with a follow-up that reboots the meeting

Produces a two-step no-show recovery: a same-day, guilt-free rebook email with a lighter async alternative, and a value-led second touch for continued silence. It adjusts for how the meeting was booked and for repeat no-shows, so you recover the winnable meetings without groveling for the rest.

Any LLMGet prompt โ†’
Call Transcript Analysis & CoachingIntermediate

Review demo call effectiveness from the transcript

Audits a demo the way a coach watching the recording would: maps every segment to a stated prospect pain (flagging pure feature tour), charts engagement through prospect interjections, finds the peak-interest moment and whether the rep capitalized on it, and grades the close. Names the segment to cut and the moment that deserved more.

Claude, ChatGPT, GeminiGet prompt โ†’
Discovery Calls & DemosIntermediate

Role-play your discovery call with the LLM as the prospect

Turns the LLM into a realistic discovery sparring partner with a hidden agenda you must dig to uncover โ€” a buried pain, a held-back objection, internal politics โ€” plus a curveball. Ends with a scorecard revealing what you missed and the two highest-impact fixes. It's rep practice with none of the scheduling and all of the honesty.

Claude, ChatGPT, GeminiGet prompt โ†’
ICP, Targeting & Lead ScoringIntermediate

Run a jobs-to-be-done analysis for each persona

Goes a layer deeper than persona cards: for each buying role, it uncovers the functional, emotional, and social jobs they're hiring your product for, plus the struggling moments that make buying urgent. Each analysis converts directly into a discovery question and a cold email opener, so the theory ships as sales material.

Any LLMGet prompt โ†’
Cold Calling Scripts & OpenersIntermediate

Run a question-led cold call that feels like discovery, not a pitch

Builds a cold call around a four-rung question ladder, from easy fact question to future-state question, with follow-up probes, pivot rules that tell you exactly when the prospect has pitched themselves, and honest escape hatches for 'why do you ask?'. It produces calls where the prospect talks more than you and the meeting ask feels earned.

Any LLMGet prompt โ†’
LinkedIn & Social SellingAdvanced

Script a LinkedIn video DM prospects actually watch

Packages the full video DM play: a one-take script under 60 seconds that opens on the prospect's world, a personalized-thumbnail move that earns the click, the companion text for non-watchers, and a re-record rule that stops perfectionism. Video attaches your face to your outreach โ€” this makes sure it's attached to something specific.

Any LLMGet prompt โ†’
Discovery Calls & DemosIntermediate

Sequence your discovery questions from surface to impact

Builds a four-layer question sequence โ€” facts, friction, consequence, stakes โ€” with the bridge phrases that make deepening feel natural, the prospect phrases that signal 'dig here', and rules for when to stop. Fixes the universal discovery flaw: surfacing a pain signal and pitching instead of digging one layer deeper.

Any LLMGet prompt โ†’
Personalization at Scale (Clay & Claygents)Advanced

Synthesize multi-source research into a 3-bullet account brief

Collapses your whole enrichment waterfall into a fifteen-second read: what the account is, what's happening there now, and the best outreach angle with its evidence. It's the bridge between automated research and human selling โ€” reps get synthesis, not seven columns of raw scrape output to decode.

Any LLMGet prompt โ†’
Sales Copywriting & AssetsBeginner

Translate your feature list into a benefit table sellers can quote

Runs every feature through the full translation chain โ€” feature, advantage, buyer benefit, cost of lacking it, and a quotable sentence per persona โ€” then routes the three strongest rows to specific assets and honestly flags parity features not worth leading with. It turns the raw feature list into language sellers can actually say out loud.

Any LLMGet prompt โ†’
Reply & Objection HandlingBeginner

Turn 'send me more info' into a meeting instead of a dead PDF

Converts the classic brush-off into a qualification step. Instead of firing a deck into the void, the reply agrees warmly, asks one 'so I send the right thing' question, offers a small specific artifact, and positions a 15-minute call as the lazier option for the prospect. Includes the 4-day silent-reader follow-up most reps forget to send.

Any LLMGet prompt โ†’
Sales Copywriting & AssetsBeginner

Turn a messy feature list into a one-page product overview

Compresses a sprawling feature list into a one-page argument: problem, mechanism, proof, honest fit, and a single CTA โ€” under 280 words with design notes per section. Because it asks where in the deal the page gets used, the copy matches a post-discovery send instead of reading like a trade-show brochure.

Any LLMGet prompt โ†’
Account & Prospect ResearchBeginner

Turn messy research notes into a clean, actionable account plan

Synthesizes a messy pile of call notes, screenshots, and fragments into a one-page account plan built from decisions: the load-bearing facts tagged by source, contradictions and dangerous unknowns, a committed falsifiable thesis on why the account buys, and a 14-day action list where every item traces to evidence. Nothing pasted gets silently lost โ€” cut material lands in a parking lot.

Any LLMGet prompt โ†’
ICP, Targeting & Lead ScoringBeginner

Write a disqualification checklist that saves your reps hours

Arms your team with an objective disqualification system: instant-kill conditions, a three-strike warning framework, qualify-out questions that surface bad fits early, and graceful exit templates. The math section quantifies the rep-hours recovered, which is what turns disqualification from a guilt trip into an obvious win.

Any LLMGet prompt โ†’
Follow-Ups & SequencesBeginner

Write a post-demo follow-up that keeps the deal moving

Turns your demo notes into a same-day follow-up that anchors on the sharpest moment of the call, recaps outcomes in the buyer's language, and proposes one dated next step. It also flags the biggest deal risk it sees, so the email drives momentum instead of documenting a meeting.

Any LLMGet prompt โ†’
Discovery Calls & DemosBeginner

Write stakeholder talk tracks: CFO vs end user vs IT

Produces three genuinely distinct talk-track cards โ€” CFO, end user, and IT by default โ€” each with a 60-second conversational pitch, vocabulary to use and avoid, the role's signature objection, and the type of proof that actually moves them. Ends the one-pitch-fits-all habit that quietly loses two of every three stakeholders.

Any LLMGet prompt โ†’
Discovery Calls & Demos FAQ

Frequently asked questions

Yes, in the prep and follow-up โ€” not on the call itself. An LLM can build a persona-specific question bank, form a pain hypothesis from account research, and turn your messy notes into a summary email in minutes. The call still depends on you listening, but reps who walk in with a hypothesis and walk out with a same-day recap close measurably more. These prompts systematize that prep.

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