ChatGPT Prompts for Salespeople

Account research brief: from raw filings to a first-touch angle

You have 30 target accounts and one hour. Turn one account's public footprint into a brief you can actually open a conversation with.

You are a senior SDR preparing a first-touch campaign for one target account. I will paste raw public material about the account. Produce:

A) ACCOUNT SNAPSHOT — a table with columns: dimension (what they sell, who they sell to, revenue motion, recent trigger events, tech-stack clues), what the material says, and the exact quote or source line it comes from.

B) THREE PAIN HYPOTHESES, ranked — each tied to a trigger event in the material, mapped to my offer, and labeled confirmed / inferred / speculative.

C) ONE OPENER — a 4-sentence first-touch email built on the top hypothesis: one specific observation from the material, no generic flattery, one closing question.

Materials: [PASTE: 10-K EXCERPT / EARNINGS-CALL NOTES / PRESS RELEASES / JOB POSTINGS / SITE COPY]
My offer: [ONE SENTENCE: WHAT YOU SELL AND THE PAIN IT REMOVES]

Rules: Do not invent facts about the account — if a claim is not in the pasted material, label it "assumption" and list it separately. Mark anything I should verify externally (funding, headcount, exec names) before sending. Never include customer-confidential data or personal contact details in the output.

Account dossier: turn a company URL and 10-K into a call-ready brief

You have 40 accounts and an hour. Compress each one into a one-page brief that tells you why to call, who to call, and what to say first.

You are a senior account researcher building a call-ready brief for a rep — a drafting aid, not verified truth. I will paste what I know about a target account.

Produce:

A) SNAPSHOT — one plain sentence on what the company does, its rough size, and the segment I sell into.

B) TRIGGER MAP — a table of buying signals I pasted (funding, leadership change, hiring, earnings language, product launch), each with the plausible pain it implies and a VERIFICATION column preset to "confirm before citing".

C) STAKEHOLDER GUESS — the 2-3 likely roles that own this problem and, for each, the one outcome they're measured on.

D) OPENER — a two-sentence first message tied to the single strongest trigger, specific enough that it could only have been written for this account.

Inputs: [COMPANY + WHAT THEY DO] · [ANY NEWS / TRIGGERS I FOUND] · [WHO I USUALLY SELL TO] · [MY PRODUCT IN ONE LINE]

Rules: Do not invent facts, headcounts, funding, or names not in my paste — mark anything unconfirmed "VERIFY". Keep confidential CRM data and customer lists out of consumer AI tools and follow your employer's AI-use policy. The brief drafts your angle; you confirm every claim before it reaches a buyer.

Sequence de-genericizer: strip the 'could-be-anyone' lines from a cold outreach flow

Your sequence gets ignored because every touch reads like a template. Rewrite it so each message could only have been sent to this account.

You are a senior outbound strategist rewriting a cold outreach sequence so it stops sounding machine-generated. I will paste my current sequence and what I know about the target account.

Produce:

A) GENERIC-LINE AUDIT — a table of every sentence in my draft that could be sent to any account unchanged (generic value props, 'I hope this finds you well', vague 'companies like yours'), each with a rewrite anchored to a specific fact from my account notes, or a "[NEEDS A REAL DETAIL]" flag if I gave you nothing to anchor it to.

B) REWRITTEN SEQUENCE — 4 touches, each led by one concrete, account-specific observation and one clear ask; no two touches repeat the same angle.

C) PATTERN-INTERRUPT LINE — one honest, non-gimmicky opener for the touch most likely to be ignored.

Inputs: [PASTE CURRENT SEQUENCE] · [WHAT I KNOW ABOUT THIS ACCOUNT] · [MY OFFER IN ONE LINE] · [PERSONA I'M WRITING TO]

Rules: Do not invent facts, names, titles, triggers, or angles or numbers I did not give you — mark anything unconfirmed "VERIFY" and list it separately. Keep confidential CRM data and customer lists out of consumer AI tools and follow your employer's AI-use policy. This drafts your thinking; you verify every claim against the source before it reaches a buyer or your leadership.

Discovery debrief: from raw notes to MEDDICC gaps and next step

You just finished a discovery call. Turn messy notes into a gap map and a follow-up email before the context evaporates.

You are an enterprise AE debriefing a discovery call. I will paste my raw call notes or transcript. Produce:

A) MEDDICC SCORECARD — a table with rows

Objection war-game: pre-load the five pushbacks before the call

You keep getting surprised by the same objections mid-call. Rehearse them cold so you answer from position, not panic.

You are a sales coach running an objection war-game before a live call — this is prep, not a script to read verbatim.

Produce:

A) OBJECTION LIST — t

Pre-call discovery plan: the five questions that actually move the deal

You have 20 minutes and a first call tomorrow. Build the question plan that fills your real qualification gaps instead of winging 30 generic questions.

You are a sales coach building a focused discovery plan for an upcoming call — prep, not a script to read verbatim. I will paste what I already know a

Proposal executive summary that mirrors the buyer's business case

The deck is done but page one reads like a brochure. Rewrite the executive summary in the buyer's language before it goes to procurement.

You are a deal-desk writer rewriting a proposal executive summary so it survives being forwarded to people who never met us. I will paste our draft an

Proposal draft: turn discovery notes into a value-framed one-pager

The deal is warm and the proposal is due. Convert your messy notes into a tight one-pager framed on the buyer's outcome, not your feature list.

You are a proposal writer turning raw discovery notes into a clean one-page proposal draft for my review.

Produce:

A) SITUATION — three sentences re

Mutual close plan: turn a verbal 'yes' into a dated path to signature

The buyer said 'let's move forward' and then went quiet. Convert the enthusiasm into a mutual action plan with dates and owners before it stalls.

You are a deal-desk strategist building a mutual action plan (close plan) from a deal that just got a verbal go-ahead. I will paste the deal context a

Account expansion map: whitespace, warm paths, and the renewal story

QBR season. Turn usage data and org knowledge into an expansion plan the account team can actually execute.

You are an account strategist preparing a QBR expansion plan. I will paste what we know about the account. Produce:

A) WHITESPACE MAP — a table with

Renewal risk read: a QBR prep that surfaces churn before it's a surprise

Renewal is 90 days out and you're not sure where you stand. Build a QBR that reads the account honestly and catches churn signals early.

You are a customer-success strategist prepping a quarterly business review and an honest renewal-risk read.

Produce:

A) HEALTH TABLE — usage, outcom

Executive value story: translate usage metrics into the sponsor's business outcomes

The renewal QBR is with an exec who doesn't care about seat counts. Turn your adoption data into the business-outcome story that justifies the spend.

You are an account strategist writing the executive-sponsor value story for a renewal or expansion review. I will paste the usage and outcome data plu

Pipeline scrub: commit-call interrogation for every late-stage deal

Forecast call is tomorrow. Pressure-test the commit list so the number you roll up is the number that closes.

You are a RevOps analyst running a pipeline scrub before the forecast call. I will paste the late-stage deal list. Produce:

A) SCRUB TABLE — columns:

Deal inspection: pressure-test your commit before you call it to the boss

You're about to commit a number. Inspect each deal cold so your forecast is defensible, not hopeful.

You are a sales-ops analyst running a skeptical deal inspection before I submit my forecast.

Produce:

A) DEAL TABLE — each deal I paste: stage, amou

Coverage check: is there really enough pipeline to hit the number?

You're building next quarter's forecast. Pressure-test whether current pipeline actually covers the goal, and quantify the build gap — without dressing weighted estimates as certainty.

You are a RevOps analyst running a pipeline-coverage and gap-to-goal analysis. I will paste the open pipeline and the target.

Produce:

A) COVERAGE M