Prompt Library

ChatGPT Prompts for Financial Planners and CFPs

16 copy-paste prompts

20 copy-paste ChatGPT prompts for financial planners: client meetings, plan writing, projections, behavioral coaching, and practice growth. Built for CFPs + RIAs + fee-only planners.

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. Hand-curated and tested by the AI Academy team.

Louis Corneloup
By Louis Corneloup ยท Founder, Techpresso
Last updated ยทHand-curated & tested by the AI Academy team

Client Discovery + Goals

4 prompts

Initial Client Meeting Agenda

1/16

โœจ What it does

ChatGPT scripts a 60-minute discovery with [prospective client] covering opener, life-stage questions, money story and values, goals, current situation, what planning would mean, fees, and next steps, as a conversation rather than an interrogation. Name your prospect, then follow the question order and save the fee talk for its slot.

Initial discovery meeting with [prospective client]. 60 min. Output: opener, life-stage discovery questions (in order), money story / values exploration, specific goals discovery, current situation overview, what financial planning would mean for them, fee discussion, next steps. Conversation, not interrogation.

๐Ÿ’ก

Pro tip: Money story before money math. Clients hire planners they connect with first; expertise second. Discovery meeting = relationship build, not data collection. Data collection later.

Goals Clarification

2/16

โœจ What it does

ChatGPT turns a vague goal like [vague goal] (comfortable in retirement) into 5 questions on when, what comfortable means, the cost of missing it, who else is affected, and what they would sacrifice, so you get specifics without being rude. Put their words in, then ask all five before you build the plan.

Help client articulate goals. They said: [vague goal โ€” "be comfortable in retirement"]. Output: 5 questions to make it specific (when, what does comfortable mean, what would happen if you didn't reach it, who else affected, what would you sacrifice for it). Force specificity respectfully.

๐Ÿ’ก

Pro tip: "Comfortable retirement" = unmeasurable. Specific goal ("retire at 65 with $80K/year inflation-adjusted") = plannable. Specificity = clients realize what they actually want.

Risk Tolerance Calibration

3/16

โœจ What it does

ChatGPT scripts a risk-tolerance talk with [client] using past behavior in 2008 and 2020, capacity versus willingness, a portfolio-down-30% scenario, and follow-ups that surface real tolerance beyond a questionnaire. Name your client, then trust what they did in those years more than the form score.

Risk tolerance discussion with [client]. Output: behavioral questions beyond standard questionnaire (past behavior in 2008, 2020 โ€” most predictive), capacity vs willingness distinction, specific scenarios ("if portfolio dropped 30%, what would you do?"), follow-up to surface real tolerance.

๐Ÿ’ก

Pro tip: Risk questionnaires miss real tolerance. Past behavior in actual drawdowns = best predictor. Many clients claim aggressive but panic in real downturn. Behavioral questions catch the gap.

Fact-Find Customization

4/16

โœจ What it does

ChatGPT customizes a fact-find for [client situation] with only relevant sections, depth per area, a sequence that limits fatigue, documents they send versus what you can pull, and a deadline, so a generic packet is not abandoned. Map their situation first, then send only the sections you actually need them to complete.

Customize fact-find for [client situation]. Output: relevant sections only, follow-up depth per area, sequence to minimize fatigue, what we need from them (documents) vs what we can pull, deadline. Generic fact-finds = abandoned.

๐Ÿ’ก

Pro tip: Standard 50-page fact-find = client gives up. Targeted 10-page version + follow-up = completed thoroughly. Front-load filtering; deepen on relevant areas only.

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Plan Writing + Recommendations

4 prompts

Financial Plan Executive Summary

5/16

โœจ What it does

ChatGPT writes an executive summary of [client]'s plan: current state, goals in their words, 5-7 numbered recommendations, priority order, timeline, expected outcomes, and who does what, in language they can read. Name the client, then have them confirm the goals in their words before you present.

Write executive summary for [client]'s financial plan. Output: where they are now (current state), goals (their words), 5-7 specific recommendations (numbered), priority sequencing, timeline for actions, expected outcomes, my role + their role. Plain language; client-readable.

๐Ÿ’ก

Pro tip: 50-page plans = unread. 1-page exec summary + appendix = read + acted on. Most clients read summary only; make it count + drive action.

Recommendation Rationale

6/16

โœจ What it does

ChatGPT explains recommendation [specific] such as a Roth conversion, more term life, or a beneficiary update, with why, how it fits their goals, alternatives, downside, and action steps, as education they can act on. Name the recommendation, then walk the alternatives so they choose it with you.

Recommendation: [specific โ€” Roth conversion, term life increase, beneficiary update]. Help me explain to client: why we recommend, how it fits their goals, alternatives considered, downside risk, action steps. Education > directive. Clients act on understanding, not orders.

๐Ÿ’ก

Pro tip: Directive recommendations ("do this") = clients defer + don't act. Educational recommendations ("here's why + what + alternatives") = clients understand + act. Education first.

Retirement Projection Discussion

7/16

โœจ What it does

ChatGPT walks a retirement projection with assumptions, conservative, moderate, and aggressive scenarios, a Monte Carlo summary if you use one, the gap versus the goal, levers to close it, and the next 12 months, visualized rather than buried in numbers. Show the gap slide first, then agree the 12-month actions before they leave.

Walk client through retirement projection. Output: assumptions used, scenarios run (conservative / moderate / aggressive), Monte Carlo summary if applicable, gap analysis (current path vs goal), levers to close gap, next 12-month actions. Visualize, don't bury in numbers.

๐Ÿ’ก

Pro tip: Projection numbers = noise to clients. Story ("if nothing changes, you run out at age 78; here's 3 things to extend that") = action. Translate math to narrative.

Insurance Review Conversation

8/16

โœจ What it does

ChatGPT reviews insurance lines [life / disability / LTC / umbrella / property] for gaps versus need, premium versus market, redundancy, restructuring ideas, and how to frame an awkward talk, honest about where a broker should lead. List the lines, then send the gap list to the broker for anything outside your seat.

Review client insurance coverage. Lines: [life / disability / LTC / umbrella / property]. Output: gap analysis vs needs, current premium vs market rate, sources of redundancy, restructuring opportunities, conversation framing (insurance discussions awkward). Honest about limits of my expertise vs broker.

๐Ÿ’ก

Pro tip: Planners often shallow on insurance. Acknowledge limits; refer to specialist when complex. Inadequate coverage discovered too late = client trust loss. Surface gaps + defer to expert.

Behavioral Coaching

4 prompts

Client Panic Conversation Script

9/16

โœจ What it does

ChatGPT scripts a call when the market is down 25% and the client is panicked: validate without amplifying, give history without dismissing, revisit the plan and risk tolerance, check pre-set rules, and end with an action that may be to do nothing. Stay on that sequence with your client, then hang up without a fear-driven trade.

Market down 25%. Client called panicked. Walk through call: validate emotion (without amplifying), put in historical context (without dismissing), revisit their plan + risk tolerance, decision rule check (pre-set rules), end with action (sometimes none, that's OK).

๐Ÿ’ก

Pro tip: Panic calls = behavioral planning earns its fee. Pre-set decision rules ("we won't change strategy unless X") = anchor for emotional moments. Without prep = clients sell at bottom.

Spending vs Saving Conversation

10/16

โœจ What it does

ChatGPT scripts a spending talk when the client is over plan: compassionate rather than lecturing, what the spending represents, the tradeoff with stated goals, nudges that work, and you as coach rather than parent. Have the conversation from their goals, then agree one nudge they will try this month.

Client over-spending vs plan. Help me have conversation: compassionate not lecturing, surface what spending really represents, tradeoff with stated goals, behavioral nudges that work, my role as coach not parent. Hard conversations earn fees.

๐Ÿ’ก

Pro tip: Lecturing about spending = client defensive + leaves planner. Coaching ("what would happen if?...") = client owns. Adult conversation respects autonomy + reveals tradeoffs.

Procrastination on Action Items

11/16

โœจ What it does

ChatGPT writes a follow-up when action items from the last meeting are still open: no shame, what blocked them, smaller steps if needed, shared accountability, and when to raise concern, because open items are where the plan stays fake. Send your follow-up this week, then shrink the next step until they can finish it.

Client hasn't completed action items from last meeting. Help me follow up: non-shaming tone, ask what blocked them (often something we missed), break into smaller steps if needed, mutual accountability, when to escalate concern. Action items = where plans become real.

๐Ÿ’ก

Pro tip: Action items unstuck = where clients lose progress. Shaming = client avoids planner. Coaching tone ("what's blocking?") = surfaces real issue + breaks pattern.

Family Money Conversations

12/16

โœจ What it does

ChatGPT prepares you to facilitate a family money talk for [parents and adult kids / spouses with disagreement / inheritance] with pre-work, agenda, ground rules, your facilitator role, how to handle sensitive topics, and follow-up. Pick the family setup, then set the ground rules out loud before anyone talks money.

Client wants help facilitating family money conversation [parents and adult kids / spouses with disagreement / inheritance]. Output: pre-meeting prep, agenda, ground rules, my role as facilitator, sensitive topic handling, follow-up. Family money = emotional + relational + financial.

๐Ÿ’ก

Pro tip: Family money discussions = high-value advisor service rarely offered. Planners who facilitate = retention + referrals. Skip = clients DIY + worse outcomes.

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Practice Growth + Operations

4 prompts

Service Calendar Per Client

13/16

โœจ What it does

ChatGPT builds an annual service calendar for [client tier] with quarterly review, call, or email, Q4 year-end planning, Q1 tax review, Q2 mid-year, Q3 anniversary, and a proactive note at each touch. Fill your tier, then put the four meetings on both calendars this week.

Build annual service calendar for [client tier]. Output: quarterly contacts (review meeting / call / email), specific topics per quarter (year-end planning Q4, tax review Q1, mid-year check Q2, anniversary Q3), proactive content per touchpoint. Calendar = retention.

๐Ÿ’ก

Pro tip: Reactive practice = clients leave for proactive competitor. Calendar-driven service = clients feel held + price-insensitive. Top planners are calendar-driven.

Discovery Email for Prospects

14/16

โœจ What it does

ChatGPT writes a discovery-invite email to a [referred / inbound] prospect with a warm opener, what 30 minutes covers, what they leave with, no-obligation fee mention, time slots, and a scheduling link, conversational rather than corporate. Pick referred or inbound, then send two real time slots your prospect can grab.

Discovery call invitation email to prospect [referred / inbound]. Output: warm opener referencing source, what 30-min discovery covers, what they'll get from call, fee discussion (or "no obligation"), specific time slots, link to schedule. Conversational, not corporate.

๐Ÿ’ก

Pro tip: Cold corporate emails = ignored. Warm + specific email = booked call. Same prospect, different opener, completely different response rate.

Niche Practice Marketing

15/16

โœจ What it does

ChatGPT builds marketing for niche [niche] such as physicians, tech employees, divorced women, or business owners, with who you serve, their pains, content themes, networking targets, referrals, and credentials that fit that niche. Name the niche, then pick one networking target and one content theme for your quarter.

Marketing for [niche โ€” e.g., physicians, tech employees, divorced women, business owners]. Output: ICP, niche-specific pain points, content themes, networking targets, referral strategy, niche-relevant credentials/positioning. Niche down = profitability.

๐Ÿ’ก

Pro tip: Generalist planner = $200K AUM clients + commodity. Niche planner = $2M AUM clients + premium. Same hours; different outcomes. Niche = leverage.

Fee Discussion Script

16/16

โœจ What it does

ChatGPT scripts a fee talk for fee [structure] covering when to bring it up, value versus price, commission-only, robo, and DIY alternatives, common objections, and a clear ask, confident rather than apologetic. Fill your structure, then name the fee once and ask for the decision.

Fee discussion with prospect. Our fee: [structure]. Output: when to bring up (not too early, not too late), framing (value vs price), comparing to alternatives (commission-only / robo / DIY), addressing common objections, decision request. Confident, not apologetic.

๐Ÿ’ก

Pro tip: Apologetic fee discussions = clients negotiate. Confident framing ("our planning saves clients X annually; fee is Y") = clients accept. Most planners under-charge from low confidence.

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Frequently Asked Questions

Standard ChatGPT is NOT secure for full client PII or financial data. Don't paste raw client info. ChatGPT Enterprise has zero-retention. RIA cybersecurity rules + state regs apply.
AI as drafting + brainstorming = OK. AI as compliance authority = no. Final compliance review = human. SEC + state ADV requirements + RIA fiduciary duty = your responsibility regardless of tool.
Robo-advisors took simple investing. Comprehensive planning + behavioral coaching + relationships = human. Planners who use AI for productivity outperform planners who don't. Same as every prior tech wave.
Drafting yes; thinking no. Plans drafted by AI then reviewed + judgment-applied = good. Plans generated and sent without review = liability + caught for being generic. AI as accelerator, not replacement.
Trend toward yes in regulated finance. Form ADV + privacy policies increasingly mention AI. Sophisticated clients expect; concealment caught = trust loss. Disclose, frame as quality + speed gain, own the work.

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