Draft MD&A in Minutes
Earnings Narrator GPT
Investor-grade narratives, zero invented numbers
Get Earnings Narrator GPTFeatures List
3
Coordinated Outputs Per Cycle
0
Numbers Invented or Inferred
1
Session. Full Reporting Narrative.
Why Finance Leaders Use This GPT
Zero Fabrication, By Design
Earnings Narrator GPT will not draft a single sentence until you have confirmed your financial data. It never infers numbers, reuses prior period results, or estimates missing metrics. Every output is grounded strictly in what you have reported and authorised.
Three Outputs, One Session
One set of verified financials produces three coordinated documents: MD&A narrative, earnings release commentary, and executive talking points. All three are consistent in numbers, tone, and key messages — no reconciliation needed between drafts.
Written From Your Real Results
The GPT works from the financial data you provide — revenue, margins, EPS, cash flow, segment results, one-offs, guidance, and non-GAAP reconciliations. It contextualises your performance and explains the drivers in CFO-grade language, not generic commentary.
Disclosure-Ready Language
Every draft uses language appropriate for regulatory filings, earnings releases, and public investor communications. You still review and approve — but you start from a disclosure-appropriate draft rather than a blank page.
Repeatable Every Reporting Cycle
Upload your new quarterly package each cycle and run the same process. No rebuilding prompts, no retraining. The GPT adapts to your current numbers and produces a fresh, consistent set of outputs every time.
What You Get
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CustomGPT Design Blueprint (PDF)
The full system prompt, mandatory data requirements, and configuration settings to build Earnings Narrator GPT in ChatGPT. Ready in about two minutes.
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MD&A Narrative Draft
A Management Discussion and Analysis narrative covering performance context, key drivers, risk factors, and forward-looking priorities — suitable as a starting draft for regulatory filings.
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Earnings Release Commentary
CFO-style narrative commentary for your quarterly or annual earnings release — covering revenue, margins, cash flow, and management outlook in investor-appropriate language.
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Executive Talking Points
A concise set of CFO talking points covering the key messages, financial highlights, and forward-looking statements — ready for earnings calls, investor meetings, or media briefings.
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Data Confirmation Checklist
A structured list of the financial data the GPT requires before drafting — so you know exactly what to prepare before each reporting cycle session.
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Setup Tutorial Video
A walkthrough showing how to upload the blueprint and configure the GPT in ChatGPT, step by step.
When to Use Investor Voice GPT
Quarterly Earnings Content
Every reporting cycle produces a content opportunity most IR teams miss or rush. Upload your earnings release, select your audience priorities, and get a full LinkedIn content set — post, carousel, article, and exec quotes — before the week is out.
Earnings Release Narrative
The narrative section of an earnings release sets the tone for how analysts and investors interpret your results. Upload your quarterly package and get CFO-grade commentary that contextualises performance, explains key drivers, and frames management's priorities.
Preparing Executive Talking Points
CFOs and CEOs going into earnings calls or investor meetings need a tight set of talking points that align with the official narrative. The GPT produces these alongside the MD&A and release commentary — all consistent in numbers and message.
Annual Report Narrative Drafting
Full-year results demand more expansive narrative than a quarterly release. Earnings Narrator GPT handles annual reporting cycles with the same rigour — producing coordinated MD&A, commentary, and talking points from your full-year financial package.
New CFO First Reporting Cycle
A CFO starting mid-tenure faces an immediate reporting cycle with incomplete institutional knowledge. This GPT provides a structured drafting process that forces data completeness upfront — reducing the risk of narrative errors in a first public communication.
Which Framework Fits Your Deck
| Framework | Best For | Structure | Output Style |
|---|---|---|---|
| SCQA | Investor and strategy decks | Situation, Complication, Question, Answer | Narrative-led, logical progression |
| Pyramid Principle | Executive briefings, board packs | Conclusion first, then supporting argument | Top-down, conclusion-driven |
| 3-Act Story | Keynotes, all-hands, pitch decks | Setup, Confrontation, Resolution | Story-driven, emotionally engaging |
| Board Pack | Governance and board reporting | Context, Performance, Risk, Decision | Structured, data-anchored |
| Mandel Structure | Training and leadership decks | Purpose, Key Points, Support, Close | Instructional, audience-focused |
Common Questions
What financial data does the GPT require before drafting?
Will it ever guess or infer numbers I haven't provided?
Is the output ready to file, or does it still need review?
Can it handle non-GAAP metrics and reconciliations?
Does this work for annual results as well as quarterly?
Do I need a paid ChatGPT account?
MD&A in Minutes. No Numbers Invented.
3 coordinated outputs. Verified data only. Every reporting cycle. Updated for 2026.