AI-Ready CMO

AI Go-to-Market Strategy Generator

Marketing StrategyadvancedClaude 3.5 Sonnet or GPT-4o. Claude excels at structured, multi-section strategic frameworks and provides nuanced competitive analysis. GPT-4o offers faster processing for large strategy documents and strong reasoning across complex market scenarios. Both handle the detailed customization required for this advanced prompt equally well.

When to Use This Prompt

Use this prompt when launching a new product, entering a new market, or repositioning an existing offering. It's ideal for CMOs and marketing leaders who need a comprehensive, data-driven strategy to align cross-functional teams and secure stakeholder buy-in before execution begins.

The Prompt

You are an expert go-to-market strategist with 15+ years of experience launching products across [INDUSTRY/MARKET TYPE]. Your task is to develop a comprehensive go-to-market strategy for the following scenario: ## Product Information - Product/Service Name: [PRODUCT NAME] - Product Category: [CATEGORY] - Key Features/Differentiators: [LIST 3-5 KEY FEATURES] - Target Customer Profile: [DESCRIBE IDEAL CUSTOMER] - Price Point: [PRICE OR PRICING MODEL] - Launch Timeline: [LAUNCH DATE OR TIMEFRAME] ## Market Context - Current Market Size: [MARKET SIZE OR "EMERGING"] - Primary Competitors: [LIST 2-3 MAIN COMPETITORS] - Market Trends: [LIST 2-3 RELEVANT TRENDS] - Geographic Focus: [REGION(S) OR GLOBAL] - Company Stage: [STARTUP/GROWTH/ENTERPRISE] ## Business Objectives - Primary Goal: [E.G., "ACQUIRE 1,000 CUSTOMERS IN FIRST 6 MONTHS"] - Secondary Goals: [LIST 2-3 ADDITIONAL OBJECTIVES] - Success Metrics: [LIST KEY METRICS TO TRACK] ## Constraints & Resources - Budget Range: [BUDGET OR "LIMITED"] - Team Size: [NUMBER OF MARKETING TEAM MEMBERS] - Existing Assets: [WEBSITE, CASE STUDIES, PARTNERSHIPS, ETC.] - Key Constraints: [TIME, BUDGET, RESOURCE LIMITATIONS] Based on this information, develop a complete 90-day go-to-market strategy that includes: 1. **Market Positioning & Messaging** - Define the core value proposition, key messaging pillars, and positioning statement that differentiates this product from competitors. 2. **Target Audience Segmentation** - Identify 3-4 primary customer segments with specific characteristics, pain points, and buying behaviors for each. 3. **Channel Strategy** - Recommend the optimal mix of marketing channels (digital, direct, partnerships, events, etc.) with rationale for each based on target audience and budget. 4. **Launch Phases** - Break down the 90-day launch into 3 phases (Pre-Launch, Launch, Post-Launch) with specific activities, milestones, and KPIs for each phase. 5. **Content & Messaging Calendar** - Create a 12-week content plan with specific content pieces, formats, distribution channels, and publishing dates. 6. **Sales Enablement** - Outline sales collateral needed, key talking points, objection handling, and sales process recommendations. 7. **Partnership & PR Strategy** - Identify potential partners, influencers, media outlets, and PR opportunities relevant to the product and audience. 8. **Budget Allocation** - Recommend how to allocate the budget across channels and activities with expected ROI for each. 9. **Risk Mitigation** - Identify 3-4 potential risks to launch success and mitigation strategies for each. 10. **Success Metrics & Reporting** - Define specific KPIs, measurement methodology, and reporting cadence for tracking GTM performance. Format the strategy as a structured, actionable document that a marketing team can immediately begin executing. Use specific numbers, dates, and tactics rather than generic advice. Prioritize high-impact activities that can be executed with the given constraints.

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Tips for Best Results

  • 1.Customize all bracketed fields with specific, quantifiable information—vague inputs produce generic strategies. Include actual competitor names, real budget numbers, and specific launch dates for maximum relevance.
  • 2.If you lack certain information (market size, competitor details), ask the AI to make reasonable assumptions and flag them clearly so your team can validate and adjust the strategy accordingly.
  • 3.Use the output as a starting framework, not a final document. Share it with sales, product, and leadership teams for feedback and refinement before committing budget and resources.
  • 4.Request the AI to prioritize the top 5-7 tactics from the full strategy if you have limited resources—this helps focus execution on highest-impact activities rather than attempting everything at once.

Example Output

# Go-to-Market Strategy: CloudSync Analytics ## 1. Market Positioning & Messaging **Core Value Proposition:** "Real-time data synchronization for enterprises, reducing manual data work by 80% and enabling faster decision-making." **Key Messaging Pillars:** - Speed: Sync data in minutes, not days - Reliability: 99.99% uptime SLA - Integration: Works with 500+ existing tools ## 2. Target Audience Segmentation **Segment 1: Mid-Market SaaS Companies (100-500 employees)** - Pain Point: Manual data integration across tools - Buying Behavior: Committee-based, 3-4 month sales cycle - Budget Authority: VP of Operations **Segment 2: Enterprise Data Teams** - Pain Point: Legacy system integration complexity - Buying Behavior: RFP-driven, 6+ month cycle - Budget Authority: CTO/VP Engineering ## 3. Channel Strategy - **Content Marketing (30%):** LinkedIn thought leadership, technical blogs, webinars - **Paid Digital (25%):** LinkedIn ads targeting data/ops professionals - **Direct Sales (25%):** Outbound to target accounts, sales development team - **Partnerships (15%):** Integration partnerships with Salesforce, HubSpot - **Events (5%):** Speaking at data/ops conferences ## 4. Launch Phases **Phase 1 (Weeks 1-4): Pre-Launch** - Finalize positioning and messaging - Build sales collateral and demo environment - Identify and pitch 20 beta customers - KPI: 5 beta signups **Phase 2 (Weeks 5-8): Launch** - Public product announcement via press release and webinar - Launch paid advertising campaigns - Begin outbound sales outreach - KPI: 50 qualified leads, 10 product demos **Phase 3 (Weeks 9-12): Post-Launch** - Customer success and onboarding optimization - Case study development from early customers - Expand partnership pipeline - KPI: 5 paying customers, 3 case studies ## 5. Content & Messaging Calendar **Week 1-2:** "The Data Integration Problem" blog series (LinkedIn + website) **Week 3:** Webinar: "Reducing Manual Data Work in 2024" **Week 4:** Case study: Early beta customer success story **Week 5:** Product announcement video and press release **Week 6-12:** Weekly tips, integration guides, customer spotlights ## 6. Budget Allocation - Content & Marketing: $25,000 (40%) - Paid Advertising: $20,000 (32%) - Sales Enablement: $10,000 (16%) - Events & Partnerships: $7,500 (12%) **Expected ROI:** 3:1 within 90 days based on customer acquisition cost of $2,000 and average contract value of $6,000.

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Courses, workshops, frameworks, daily intelligence, and 6 proprietary tools — built for marketing leaders adopting AI.

Trusted by 10,000+ Directors and CMOs.