PromptSharpPrompt Library › ChatGPT Prompts for Investment Banking

ChatGPT Prompts for Investment Banking

Investment banking analysts and associates build the same artifacts on repeat under deadline — buyer universes, comps, precedents, CIM outlines, accretion/dilution checks. A large language model won't source the numbers for you, but with the right structure it will turn your pasted data into a clean first draft in minutes. Below are copy-paste prompts built around actual coverage, M&A, and capital-markets workflows. Paste them into ChatGPT, Claude, Copilot, Gemini, or Perplexity — then check every figure.

3 free prompts you can run right now

BankingFREE

Strategic-buyer longlist + diligence question tree

Early-stage sell-side or a pitch: you need a defensible universe of logical acquirers and the diligence questions each raises.

You are an M&A associate building a buyer universe for a target I describe. Produce two things:

A) A strategic + financial buyer LONGLIST. For each buyer give: name, buyer type (strategic / PE / infra / family office), the specific strategic rationale (what capability, geography, product, or customer set they gain), likely deal appetite, and any obvious antitrust or ownership blocker. Group by 'most logical', 'plausible', and 'wildcard'. Do not pad the list — quality over count.
B) A DILIGENCE QUESTION TREE for the target, organized by: commercial, financial, legal/regulatory, tech/IP, people, and integration. Under each, the 5-8 questions that would most change the valuation, ordered by materiality.

Call out where you are inferring versus certain, and flag any claim I should independently verify before using it externally. Here is the target:
[DESCRIBE TARGET: sector, size, geography, what it does, why it might sell]

Rules: Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it. Mark every claim I should verify externally before relying on it. Never use, infer, or request material non-public information (MNPI) or client-confidential data.
BankingFREE

Precedent-transactions screen + adjusted-multiples framing

You need a defensible set of precedent M&A deals for a target and a clean read on what buyers actually paid.

You are an M&A associate building a precedent-transactions analysis for a target I describe: [TARGET, sector, size, geography]. Produce:
1. A TABLE of candidate precedent deals (columns: acquirer, target, announced date, deal value, EV/Revenue, EV/EBITDA, % premium, strategic vs financial buyer, rationale). Include only deals you can name a real basis for; where a figure is not provided to you, write "verify".
2. A short note on which deals are the TIGHTEST comparables and why (size, business model, cycle timing).
3. A CLEAN-vs-ADJUSTED flag per multiple: which are distorted by synergies, control premia, or one-time items and should be normalized.
4. The 2-3 questions to resolve before quoting any multiple to a client.

Rules: Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it. Mark every claim I should verify externally before relying on it. Never use, infer, or request material non-public information (MNPI) or client-confidential data.
BankingFREE

Comparable-companies universe + clean-vs-adjusted multiples grid

Building trading comps and you want a peer set you can defend plus multiples flagged clean vs adjusted.

You are an equity/IB analyst constructing a trading-comps universe for [TARGET]. Do the following in order:
1. Propose a peer SET grouped into tiers (pure-play, adjacent, aspirational) with a one-line inclusion rationale each.
2. Build a comps TABLE (columns: company, market cap, EV, EV/Revenue, EV/EBITDA, P/E, revenue growth, EBITDA margin). Where I have not given you a figure, write "pull" — never fabricate.
3. Flag each multiple as CLEAN or ADJUSTED (SBC, one-offs, lease treatment, non-GAAP bridges) and say what normalization it needs.
4. Give the defensible median/mean framing and note which peers you would exclude as outliers and why.

Rules: Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it. Mark every claim I should verify externally before relying on it. Never use, infer, or request material non-public information (MNPI) or client-confidential data.

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12 more Finance prompts in the full set

Here's what's in the rest of the pool — every prompt is free to read in full on its own page; the PromptSharp Finance delivers them to your inbox:

Banking

M&A sell-side process timeline + workstream tracker

Kicking off or running a sell-side process and need the phase map plus who-owns-what so nothing slips.

You are a deal-team associate. For a sell-side M&A process on [TARGET, expected timeline in months], produce:
1. A phased TIMELINE (Preparation, Marke
Banking

CIM outline + one-page teaser draft

You have a data pack on a target and need a structured CIM skeleton plus a blind teaser you can send.

You are an IB associate drafting marketing materials for [TARGET]. I will paste the key facts/data pack. Produce:
1. A CIM OUTLINE with numbered secti
Banking

Accretion / dilution first-pass sanity check

You want a quick, structured read on whether a deal is accretive before building the full model.

You are an M&A analyst running a FIRST-PASS accretion/dilution check. I will give acquirer and target [EPS, net income, shares, offer price, % cash vs
Banking

Football-field valuation range synthesis

You have several valuation methods and need to synthesize them into a defensible range with a clear story.

You are an IB associate building a football-field valuation summary for [TARGET]. I will paste the ranges from each method (DCF, trading comps, preced
Banking

LBO feasibility + debt-capacity quick screen

You want to know fast whether a target could support an LBO and roughly what return a sponsor might see.

You are a leveraged-finance analyst running a QUICK LBO feasibility screen on [TARGET: EBITDA, growth, margin, capex, expected entry multiple, prevail
Banking

Management-presentation question bank

You have a management meeting or diligence session coming and need a sharp, non-generic question set.

You are a deal-team member preparing for a management presentation / diligence session on [TARGET, sector, deal context]. Produce a QUESTION BANK orga
Banking

Data-room index red-flag scan + diligence priority list

You have a data-room index (or document list) and need to triage where the diligence risk concentrates.

You are a diligence lead triaging a data room for [TARGET]. I will paste the index/document list. Produce:
1. A PRIORITY TABLE grouping documents by r
Banking

Sources & uses + pro forma capitalization bridge

You have a proposed deal and need a clean sources-and-uses table plus the pro forma cap structure before the model exists.

You are an M&A / financing associate building a SOURCES & USES and a pro forma capitalization bridge for a transaction I describe: [DEAL: target, purc
Banking

ECM offering-structure options grid

A client needs to raise equity and you want a defensible menu of structures with the real trade-offs before you recommend one.

You are an equity capital markets banker framing FINANCING STRUCTURE OPTIONS for an issuer I describe: [ISSUER: size, listing status, ownership, use o
Banking

Leveraged-loan / term-sheet covenant interrogation

You have a debt term sheet or credit agreement summary and need the covenant package and the missing protections surfaced.

You are a leveraged-finance associate reviewing a DEBT TERM SHEET I paste: [PASTE TERM SHEET / CREDIT-AGREEMENT SUMMARY: tranches, pricing, covenants,
Banking

Synergy case build + realization phasing

A deal rests on synergies and you need a credible, phased build that a skeptical IC or board will not laugh out of the room.

You are an M&A associate building a SYNERGY CASE for a combination I describe: [ACQUIRER + TARGET: overlap, cost base, revenue lines, integration cont
Banking

Activist-defense vulnerability assessment

You are advising a company (or prepping a pitch) and need to see the business the way an activist would before they do.

You are a defense advisor stress-testing a company through an ACTIVIST'S EYES. Company: [DESCRIBE: business, segments, balance sheet, governance, rece
Reality guardrail: these prompts make the model reason from data you paste — they do not source or verify facts for you. Check every claim, keep confidential data out of consumer AI tools, and follow your employer's AI-use policy.

What Pro adds

The prompts above are free to copy and always will be. Pro is for people who want the PromptSharp Finance working for them every day:

Every vertical's Pro includesWhat it means
Every prompt, every dayThe full daily prompt set, not just the free rotating sample.
MCP accessPull your prompts straight into Claude, Cursor & any MCP client — scoped to your tier (your vertical / your 3 / entire cross-vertical). Profile-merged responses are a later enhancement.
Role-personalized promptsEvery prompt tailored to your role — log in, set your profile once, and prompts auto-fill for you on the web. LIVE (verified end-to-end 2026-07-21).
Favorites + network viewSave & search your own prompts in one cross-vertical favorites library (one click), PLUS see the most-favorited across the network (early ranking estimated from usage, sharpens over time). LIVE (verified 2026-07-21).
Monthly prompt packsA curated themed pack of prompts each month on top of your daily set — scoped to your tier. Your first pack lands the first business day after month-end, then every month after.
Weekly roundupA weekly roundup of the week's best prompts, curated from copy + favorite signal. Free readers see a teaser; Pro gets the full set.
Suggestion channelA direct line to request the prompts and verticals YOU want — all subscribers, free and paid.
Full prompt archiveThe vertical's full back-catalog of prompts, free to browse by date — every prompt we've shipped stays online.
MCP access — liveConnect the PromptSharp prompt library inside Claude, ChatGPT, or Cursor and pull prompts where you work. Live today.

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All 15 Finance prompts

Every prompt in this pack has its own permanent page — full text, copy-paste ready, free, no account needed.

Frequently asked

Can ChatGPT build a comps table?

It can structure and format one, but it cannot reliably pull live multiples on its own — treat any figure it retrieves as unverified. The dependable workflow is to paste your own peer set and raw figures (from your data provider or filings) and have the model rank the set, flag cheap/expensive names on a growth-adjusted basis, and explain the spread. You still verify every multiple against the source. Educational only, not financial advice.

Is it safe to use AI for M&A and banking work?

Only with your firm's data-handling and AI-use policy in front of you. Never paste material non-public information (MNPI), client-confidential deal data, or PII into a consumer AI tool. The prompts here are designed to work on public filings and on data you are cleared to use, and they instruct the model to say 'not disclosed' rather than invent a number. You own the output and its accuracy.

Which AI model is best for investment banking prompts?

There is no single winner — the prompts here are model-agnostic and work in ChatGPT, Claude, Copilot, Gemini, or Perplexity. Models with a larger context window handle a full CIM or 10-K in one paste more comfortably. What matters far more than the model is the prompt structure and the discipline of verifying every output against the primary source.

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PromptSharp prompts are drafted with AI assistance and human-reviewed. They structure how a model reasons over data you provide — they do not source or verify facts for you, and you own every output. Nothing here is financial, legal, tax, or investment advice. Never paste confidential, client, or material non-public information into consumer AI tools; follow your employer's AI-use policy. © 2026 PromptSharp.