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Pitch Narrative
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Pitch Narrative

From company context to fundable story.

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Builds the investor pitch narrative as a causal chain: thesis, why-now, evidence, team, ask. Prepares the three questions the room will ask — with answers.

Works withClaudeChatGPT

Forces a real thesis — not a description · Prepares Q&A before the room asks it

Investors don't fund products. They fund beliefs about how the world is changing and a team positioned to win in that new world. The question an investor is asking through the entire pitch is: is this team right about something important that most people haven't accepted yet? The strongest pitch narratives have a specific shape: they start with an observation most people would agree with, then make a non-obvious claim that follows from it, then show the product as the logical expression of that claim. The investor should feel, by the end, that the thesis is so obviously right that the only question is whether this team is the one to capture it. Paste this prompt into Claude or ChatGPT. Share your company context and traction. The AI builds the full narrative — thesis, why-now, evidence, team, ask — plus a one-paragraph cold outreach version and the three questions most likely to come in the room with recommended answers.

  1. Click "Copy prompt" above and paste it into Claude or ChatGPT to start the session.
  2. Share: what your company does (one sentence), who the customer is and what problem they have, why this problem exists now (or is worse now), your team's unfair insight, current traction, what the raise is for, and the hardest question investors have asked.
  3. If you can't answer "why now" or "what's your unfair insight," start there — the AI will work through those before building the narrative.
  4. You'll receive the full narrative in causal-chain order: thesis → why-now → implication → product → evidence → team → ask → hard question answered.
  5. Review "The Thesis" first — if it doesn't feel non-obvious (if everyone would agree with it immediately), it's not a thesis yet.
  6. Use the cold outreach paragraph for investor emails. The full narrative is for the meeting; the email version is for getting in the room.
Input: AI-powered contract review for mid-market procurement teams, $180K ARR, 12 customers, raising $1.5M

THE THESIS:
Mid-market procurement teams are now responsible for vendor risk that used to be managed by law firms — without the legal resources to do it properly. Most can't afford outside counsel for every contract, and the tools built for enterprise legal teams cost $200K+ and require legal staff to operate. That gap is getting more expensive, not less.

WHY THIS IS TRUE NOW:
SOC 2, GDPR, and supply chain disclosure requirements added three new contract review layers to every vendor relationship since 2021. Mid-market procurement leads are signing contracts they can't fully evaluate.

THE TEAM:
[Founder 1] ran procurement at a 400-person company and personally signed contracts she didn't have the capacity to review properly — that's the problem she lived. [Founder 2] built contract intelligence tooling at LegalZoom for three years.

THE HARD QUESTION:
"Why won't Ironclad or ContractPodAi just move downmarket?"
They are enterprise businesses with enterprise GTM — their ACV floor is $40K and their sales cycle is 6+ months. We close in 3 weeks at $15K. Different motion, different customer.

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