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Pitch Deck GPT is a free AI system that transforms how founders create investor-ready pitch decks. Built on investor-grade frameworks from analyzing 4,000+ real presentations, it works with regular ChatGPT (even the free version) to guide you through building a master deck and tailoring it for any situation – whether you need a 5-slide teaser, a 15-slide live pitch, or a detailed leave-behind deck.

Think Steve Jobs clarity meets Sequoia discipline.

Check it out here

1) Set the brief (60 seconds)

What you do: Paste a short brief or answer four prompts:

  • End goal (e.g., “raise a €1.5M seed”)

  • Target audience (e.g., “early‑stage B2B SaaS VCs in Europe”)

  • Stage (e.g., “post‑MVP, €15k MRR, 12‑month runway”)

  • Format (teaser, live pitch, leave‑behind, accelerator)

What the GPT does: Locks onto investor intent and selects the correct Slide Map (teaser vs. live vs. leave‑behind), so you’re not trying to sell a data‑room deck in a first email.

2) Choose your mode

A. Build from scratch

You’ll get a guided, 12‑slide investor flow (Problem → Solution → Product → Market → Business Model → Go‑to‑Market → Traction → Competition → Team → Financials → Ask → Why Now).

  • The model proposes slide titles that answer VC questions in plain investor language.

  • For each slide it offers 2–3 angle options (e.g., “pain/timing,” “regulatory tailwind,” “workflow inefficiency”), so you pick the most credible story.

B. Improve an existing deck

Drop in slide text (or paste speaker notes). The model runs a VC‑style review:

  • What works: clarity, insight, visual hook

  • Issues: missing metrics, weak moat, fuzzy market

  • Fix: rewrite titles, reorder flow, tighten “Ask,” quantify traction, clean TAM

You also get before/after copy for each slide title and a recommended deck outline.

3) Nail the numbers investors expect

What you do: Provide raw facts (MRR, growth, churn, ACV, sales cycle, payback, pipeline).

What the GPT does: Suggests investor‑grade formulations:

  • Market: TAM → serviceable beachhead → entry wedge

  • Unit economics: LTV/CAC, payback in months, gross margin, contribution margin

  • Traction: cohort proof, efficiency (net dollar retention, pipeline coverage)

  • The Ask: round size, use of funds by milestone, runway & KPI targets

You’ll get a one‑liner for each metric (“€15k → €42k MRR in 6 months (3.2×), net retention 112%”) and guidance on what not to include in a teaser.

4) Shape the story (without fluff)

Investors read in patterns. The model forces short, declarative slide titles that behave like a narrative spine:

  • Problem: “Manual KYC makes onboarding 7× slower and 3× costlier”

  • Solution: “API‑first KYC that auto‑verifies in 90 seconds”

  • Market: “€6.4B compliance spend in Europe; fintech first, banks next”

  • Traction: “18 pilots → 6 paying logos; €42k MRR; CAC payback 5 months”

  • Ask: “Raising €1.5M to hit €120k MRR in 12 months; expand to DACH”

This prevents the “pretty but empty” deck problem. The advice is tuned to VC questions: how big, why now, why you, why this wins, what’s the ask.

5) Generate the right variant (in minutes)

With the Master Deck structured, the GPT outputs the variants investors expect:

  • Teaser (5–7 slides): Problem, Solution, Market, Traction, Team, Ask

  • Live pitch (10–15): Full arc, visual product flow, moat, GTM, metrics

  • Leave‑behind (12–18): Adds economics, roadmap, pricing, cohorts

  • Accelerator/partner versions: Refocuses on team strength or integration value

You’ll also get a one‑page email teaser and a 2‑minute spoken script.

6) Polish for investor readability

  • Tightens copy to 8–12 words per title and <35 words per slide

  • Converts paragraphs into scannable bullet logic

  • Suggests simple, high‑contrast visuals (no data ink spilled)

  • Flags red‑flag claims (unfalsifiable TAMs, hand‑wavy moats)

7) Final check: “The VC Five”

Before you send, it runs a last‑mile checklist:

  1. Timing: Is “why now” explicit (tech/regulatory/behavioral shift)?

  2. Scale: Is market credible and the wedge specific?

  3. Edge: Is your defensibility concrete (data, workflow lock‑in, network)?

  4. Proof: Do metrics show momentum and efficiency?

  5. Ask: Clear amount, milestones, and runway math?

Pass this, and your deck reads like an investor wrote it.

Why founders like this workflow

Pitch Deck GPT blends visual storytelling with investor‑grade numbers. It’s the same philosophy Pitch Deck Studios uses to keep decks from becoming “pretty but empty.” They’ve created 6,000+ decks for 4,000+ companies, contributing to $500M+ raised — and the workflow adapts across formats (teaser, live pitch, leave‑behind, data room, incubator).

Check it out here for free

 

1 Comment

  • A
    Posted August 29, 2025 at 11:00 am

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