# Marketing Brief - Q2 2026 Launch

*Last updated: 2026-04-14*  
*Status: Launch-ready*

## Product Overview

**One-liner:** The AI workspace for repeatable go-to-market execution.

**What it does:** doany lets teams save prompts as reusable AI skills and run them with shared context to keep product messaging consistent across ads, landing pages, and sales enablement.

**Product category:** AI marketing operations software  
**Product type:** SaaS  
**Business model:** Team plan starts at $99/seat/month

## Target Audience

**ICP:** B2B SaaS companies, 20-500 employees, lean GTM teams  
**Trigger moment:** New product launch or quarterly campaign sprint  
**Worst fit:** Solo creators who only need occasional copy generation

**Buying committee:**
- Champion: PMM who owns launch narrative
- Daily user: Content marketer / growth marketer  
- Decision maker: Head of Marketing or VP Marketing
- Technical influence: RevOps or marketing ops

## Core Problem

**Pain (verbatim from customers):**
- "Every launch starts from a blank page, even though we did this last month."
- "We lose a week aligning ad copy and landing page messaging."
- "Our PMM says one thing, growth says another, and sales decks say something else."
- "Prompt quality depends on who is at keyboard that day."

**Core issue:** Teams rely on one-off prompting, so messaging quality varies by person.

**What it costs them:** Slower launches, extra review cycles, wasted paid spend from weak message-match.

## Value Proposition

**Desired outcomes (verbatim from customers):**
- "Give us one source of truth for product messaging."
- "I want junior marketers to produce copy that sounds senior."
- "I need launch assets that don't require three rewrite rounds."

**Value themes:**
1. Consistency across channels
2. Faster execution with smaller teams
3. Lower risk of off-brand messaging

**Key differentiators:**
- Context files live with workflows (shared source of truth)
- Skill-based execution instead of random chat
- Built for team reuse, not solo experimentation

## Proof Points (Validated)

**Metrics from customer interviews (March-April 2026):**
- Team A (Series B SaaS): reduced campaign prep from 10 days to 6 days (~40% faster)
- Team B (PLG SaaS): cut copy QA/review cycles from 4 rounds to 2 rounds
- Early pilot retention: 8/10 teams still active after 6 weeks

**Social proof snippets:**
- "Cut launch prep time by ~40% in our first month." — PMM, B2B SaaS
- "Our ads and LP finally sound like the same company." — Growth lead

## Objection Handling

**Top objections:**
1. "We already use ChatGPT. Why add another tool?"
2. "Will setup take too long for a small team?"
3. "How do we know outputs stay on-brand?"

**Responses:**
- We don't replace LLMs; we standardize how teams use them
- Setup is lightweight: start with one context file and one workflow
- Brand consistency comes from shared context + reusable skills

## Competitive Landscape

**Direct:** Jasper workflows, Copy.ai workflows  
**Secondary:** Notion + prompt docs + manual copy/paste into chat tools  
**Indirect:** Agency retainers, hiring additional in-house copywriters

## Brand Voice & Messaging Guardrails

**Tone:** Direct, practical, confident  
**Style:** Concise and operator-focused  
**Personality:** Clear, rigorous, no-hype

**Use these phrases:**
- "reusable AI skills" (consistent across all copy)
- "context-first"
- "launch-ready"
- "repeatable"

**Avoid these phrases:**
- "AI magic" (too vague, low trust)
- "autonomous AI employee"
- "one-click growth"
- "replace your team"

## Campaign Focus

**Primary CTA:** "Build your context pack" / "Start with your first context pack"  
**Secondary CTA:** "See a launch workflow"  
**Success metric:** Workspace activated + first skill run completed within 24 hours