Prompt Library

Mortgage Broker Prompts for Clients, Lenders, and Loan Origination

16 copy-paste prompts

16 ChatGPT prompts for mortgage brokers: buyer qualification, loan shopping, application processing, marketing, realtor partnerships. Close more loans in less time.

In short: This page contains 16 copy-paste ready prompts, organized into 4 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)

Client Process

4 prompts

Buyer Qualification Questions

1/16

✨ What it does

ChatGPT writes first-call qualification questions covering income docs, debts, credit awareness, down payment, timeline, property target, and pre-approval versus pre-qualification. Ask them in a friendly diagnostic tone, then explain the difference before you promise a path.

Qualify mortgage buyer. First call. Include: income documentation, debt situation, credit awareness, down payment resources, timeline, property target, pre-approval vs pre-qualification explanation. Diagnostic friendly.

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Pro tip: Qualification first call = save everyone's time. Unqualified buyers waste months. Diagnostic questions reveal in 15 min what months of "maybe" doesn't.

Pre-Approval Explanation

2/16

✨ What it does

ChatGPT explains pre-approval to a first-time buyer: what it is, documents, timeline, why agents require it, how it differs from pre-qualification, how long it lasts, and next steps. Share the plain-language version, then list the documents they should gather this week.

Explain pre-approval to first-time buyer. Include: what it is, documents needed, timeline, why realtors require it, pre-approval vs pre-qualification difference, validity period, next steps. Plain language.

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Pro tip: First-time buyers overwhelmed. Pre-approval = paperwork that feels endless. Explain why it matters (realtor takes you seriously) + make process feel manageable.

Rate Lock Decision

3/16

✨ What it does

ChatGPT helps a client decide on a rate lock from [describe], with market context, float-down options, closing-timeline fit, risk tolerance, and a reasoned recommendation. Walk them through the risk, then lock only when they have chosen.

Help client decide on rate lock. Current situation: [describe]. Include: market context, float-down options, closing timeline alignment, risk tolerance, recommendation with rationale. Informed decision.

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Pro tip: Rate locks: 80% of clients should lock on day 1. Rate speculation = game they lose. Explain locks protect; recommend locking early.

Loan Program Comparison

4/16

✨ What it does

ChatGPT compares conventional, FHA, VA, and jumbo for [describe], with pros and cons, payment and closing-cost differences, and a best-fit recommendation. Put their numbers in the comparison, then let them pick with that sheet in hand.

Compare loan programs for client. Client situation: [describe]. Include: conventional vs FHA vs VA vs jumbo, pros/cons each for their situation, payment differences, closing cost differences, best fit recommendation. Decision-supporting.

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Pro tip: Loan program choice: client situation drives it. First-time low-down = FHA. Veteran = VA. Higher income + down = conventional. Recommend based on fit.

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Document + Process

4 prompts

Document Request Email

5/16

✨ What it does

ChatGPT writes a document-request email for [list documents] with formats, why each is needed, a deadline, a secure upload method, and an invite to ask questions. Mail it the same day, then follow up only on what is still missing.

Document request email to borrower. Needed: [list documents]. Include: complete list, format requirements, why each needed, deadline, secure upload method, questions welcome. Clear comprehensive.

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Pro tip: Document requests: list everything upfront. "Send W-2" vs "I'll need these 8 items" = different borrower experience. Prevent back-and-forth.

Borrower Status Update

6/16

✨ What it does

ChatGPT writes a loan-status update from [describe] covering what is done, what is in progress, what is next, expected timing, how they can help, and whether closing is on track. Send the update before they have to ask, then change the date if something slips.

Loan status update to borrower. Current stage: [describe]. Include: what's been completed, what's in progress, what's next, expected timeline, how they can help, closing on track confirmation. Proactive communication.

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Pro tip: Weekly status updates = happy borrowers. Silence = "what's happening with my loan?" anxiety calls. Proactive = professional; reactive = amateur.

Appraisal Issues Response

7/16

✨ What it does

ChatGPT scripts a calm response to a low appraisal with gap [specify], explaining appraisal versus asking price, options to negotiate, appeal, bring cash, or walk, plus realtor coordination and next steps. Align with the agent first, then present the options without panic.

Handle low appraisal with borrower. Gap: [specify]. Include: explain appraisal vs asking price, options (negotiate, appeal, additional cash, walk away), realtor coordination, specific next steps. Calm problem-solver.

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Pro tip: Low appraisals common. Reframe: "this is normal, here are our options." Panic mode = client panic. Calm expertise = retained client.

Closing Checklist

8/16

✨ What it does

ChatGPT writes a pre-closing checklist for closing [date] covering final walk-through, funds to close, ID, what to bring, what happens at the table, and move-in coordination. Share it a week out, then confirm wire instructions by phone.

Pre-closing checklist for borrower. Closing: [date]. Include: final walk-through, funds-to-close preparation, ID requirements, what to bring, what happens at closing, move-in coordination. Complete prep.

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Pro tip: Closing day: borrower-prepared = smooth. Forgot ID, wrong wire amount, no walk-through = delays. Checklist prevents all.

Lender Relations

4 prompts

Lender Pricing Shop

9/16

✨ What it does

ChatGPT structures lender-pricing shopping for [describe] with a request format, comparison sheet, fee analysis, lender-specific benefits, and a client recommendation. Send the same scenario to each lender, then recommend from the sheet, not a gut feel.

Shop lender pricing for borrower scenario. Scenario: [describe]. Include: request format to lenders, pricing comparison sheet, fee analysis, lender-specific benefits, recommendation for client. Fiduciary-style shopping.

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Pro tip: Broker value = shopping. Client doesn't know difference between lenders. Finding 0.25% better rate = lifetime $20K+ saved. Earn your fee.

Lender Pitch for Niche Loan

10/16

✨ What it does

ChatGPT writes a lender pitch for [describe, self-employed / foreign national / unique situation] with a full borrower summary, compensating factors, risk mitigation, and why this lender. Attach the file package, then follow up until you get a credit decision.

Pitch complex loan to lender. Complexity: [describe — self-employed / foreign national / unique situation]. Include: complete borrower summary, compensating factors, risk mitigation, why-this-lender positioning. Sell the deal.

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Pro tip: Complex loans: reframe as opportunity. Lender sees risk; show compensating factors (reserves, LTV, credit). Good packaging = approval for marginal deals.

Exception Request

11/16

✨ What it does

ChatGPT drafts an underwriting-exception request for [describe] with compensating factors, risk mitigation, similar approved files, escalation, and persistent but professional language. Include the file citations, then escalate only after the first no.

Request underwriting exception. Issue: [describe]. Include: compensating factors, risk mitigation, similar approved scenarios, escalation if needed, professional persistence. Problem solver.

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Pro tip: Underwriting exceptions: data-driven. Compensating factors + similar approvals + clear packaging = approved. Whining = denied. Professional pitch.

Lender Relationship Building

12/16

✨ What it does

ChatGPT plans lender-relationship work from [list], covering which relationships to deepen, specialty lenders to add, quarterly check-ins, reciprocal business, and pricing priority. Book the next quarterly call, then bring them a complete file as thanks.

Strategic lender relationship development. Current lenders: [list]. Include: expanding key relationships, adding specialty lenders, quarterly check-ins, reciprocal business, negotiating pricing priority. Strategic partnerships.

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Pro tip: Lender relationships = faster turn times + exception access + priority pricing. 5 key lenders deeply > 20 surface lenders. Volume earns access.

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Marketing + Partners

4 prompts

Realtor Partnership Pitch

13/16

✨ What it does

ChatGPT writes a realtor-partnership pitch for [describe] with how you differ from typical brokers, value to their clients, response-time commitment, co-marketing, and a win-win frame. Promise only a response time you can keep, then offer the first co-marketing idea.

Pitch partnership to real estate agent. Agent: [describe]. Include: differentiation from typical brokers, specific value to their clients, response time commitment, co-marketing opportunities, win-win framing. Long-term partnership.

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Pro tip: Realtor partners drive 60%+ of broker business. Pitch = "I'll close your deals fast + communicate constantly." Reliability > rate. Agent reputation > client savings.

First-Time Buyer Content

14/16

✨ What it does

ChatGPT writes first-time-buyer education for [Instagram / YouTube / blog] covering myths, the process, affordability, down-payment options, and local market context. Fact-check the local numbers, then publish on that platform only.

Educational content for first-time buyers. Platform: [Instagram / YouTube / blog]. Include: myth-busting, process explanation, affordability calculators, down payment options, local market context. Trust-building.

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Pro tip: First-time buyers: Google + YouTube research before contacting. Educational content = discovery tool + trust builder + first conversation already warm.

Referral Request to Past Client

15/16

✨ What it does

ChatGPT writes a referral ask to a past client who closed [months ago], with a homeownership check-in, a reminder of the value you delivered, a soft ask, and an easy intro. Lead with the check-in, then do not attach a hard pitch.

Request referral from past client. Closed: [months ago]. Include: homeownership check-in, specific value delivered reminder, soft referral ask (types I help), easy introduction method, continued relationship. Warm ask.

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Pro tip: Past client referrals: gold mine untapped. 90% of brokers never ask. Annual "how's the home?" + soft ask = consistent pipeline from past wins.

Annual Mortgage Review Offer

16/16

✨ What it does

ChatGPT writes an annual-review offer with anniversary congratulations, rate context, refinance consideration, equity options, and an appointment invite. Confirm current rates first, then mail it near their closing anniversary.

Annual review offer to past clients. Include: homeownership anniversary congratulations, market rate context, refinance consideration, new home equity options, appointment invitation. Relationship maintaining.

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Pro tip: Annual reviews = past clients into recurring business. Rate drops = refi opportunity. Life changes = new home. Without touchpoint, they Google.

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Frequently Asked Questions

Lender-paid compensation (most common) or borrower-paid. Typically 1-2% of loan amount. Disclosed in Loan Estimate. Competitive market drives fairness; shop brokers for best combined rate + fee.
Brokers shop multiple lenders for best terms. Direct lenders offer their products only. Brokers often beat direct lender rates via shopping; direct lenders faster sometimes. Both valid; compare.
Commission-based income highly variable. Top producers $150K-500K+. Starting brokers often $40-80K. NMLS licensing required. Market conditions impact volume significantly. Relationship-based business.
Document review drafts, client communication, realtor outreach, content marketing, compliance reviews, loan comparison analysis. Administrative time recovered redirects to relationship building.
CFPB regulations (TRID, RESPA, TILA). State-specific requirements. Broker-specific disclosures. Strict advertising rules. Compliance officer involvement critical. Regulatory changes frequent.

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