GTM & Marketing · Business

From brief to launch pack, in one AI-native GTM engine.

An autonomous go-to-market operating system that turns a single product brief into a phased strategy, task-level assets across copy/image/video, and an exportable launch kit — with a genuine server-side AI proxy and a real, deterministic readiness-scoring engine.

The problem

Go-to-market planning is fragmented across spreadsheets, design tools, and calendar apps, and teams spend weeks scaffolding a strategy document — then still have to leave the platform to produce copy, creative, and channel deployment. Small teams can't afford full GTM consulting for every launch, and there's no durable, shared place for the campaign knowledge to live once it's built.

The product

VibeGTM compresses go-to-market planning into one workspace: a product brief becomes an AI-synthesized phased strategy, then a command deck of phase-based tasks, then multi-modal assets — copy, images, and Veo video — generated inside the same tool, and finally an exportable ZIP-and-calendar launch kit. A manifest-review gate requires human approval of the strategy narrative before task execution unlocks, keeping a person in the loop at the one point that matters most.

Available today

A real, working Phase 1 product with an unusually disciplined security posture for an AI tool:

  • A server-side Gemini proxy (Cloud Function, secret-bound API key) — the AI key never reaches the browser, notably more hardened than several sibling products in the portfolio.
  • A genuinely deep GTM data model — twenty-plus structured types spanning company/product foundation, market sizing, competitors, rich personas, positioning, pricing, sales, marketing, customer success, and a decision log.
  • A real, deterministic readiness-scoring engine — a weighted algorithm across six categories (market research, ICP, positioning, messaging, pricing, launch readiness) from task completion, document completion, and structured-artifact presence, feeding a live readiness dashboard.
  • Real Veo video generation, image generation and editing, audio transcription, per-user Firestore persistence with owner-scoped security rules, a genuine ZIP export, and a hand-built .ics calendar export.

A note on the projections dashboard

The projections dashboard is described as running simulations, but the underlying computation is a real, strategy-grounded formula — traffic, spend, and revenue derived deterministically from phase count, plan density, and pricing signals — rather than a statistical or machine-learning forecast. It's accurately described as structural, formula-driven projections, not predictive modeling.

Upcoming features

Phase 1 is client-plus-proxy; Phase 2 and 3 are planned as:

  • Multi-user collaboration and team accounts, beyond today's single-user Firestore model.
  • Export integrations to Google Docs, Slack, and HubSpot.
  • Live ad-platform connections (Meta/Google Ads) and webhook automation for a true A/B optimization loop.

Who it's for

  • Growth and product marketers who want strategy and execution in one workspace.
  • Founders and agencies launching a product without a full GTM team.

Platform and stage

React 19 + Vite client, Firebase (Auth, Firestore, Cloud Functions v2), Gemini + Veo behind a server-side proxy. Stage: MVP Live — the synthesis, asset generation, and readiness scoring are real and running; team collaboration and live channel integrations are the roadmap.

This is the text version of a white paper — the fully designed original is available as a download.

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