ClickUp MCP Server

# Meta-Prompt: Agentic Revenue Maximization Strategy Generator ## Purpose This meta-prompt encapsulates the thinking process for creating comprehensive, AI-driven marketing strategies that maximize passive revenue through automation while requiring minimal human oversight. --- ## The Prompt Template ``` I'm launching [PRODUCT/SERVICE] and want to INTENSELY MAXIMIZE revenue through agentic (AI-automated) marketing. Help me create a comprehensive strategy that covers: ### Core Objectives 1. **SEO Domination**: Rank #1 for "[PRIMARY_KEYWORD]" and related terms 2. **Authority Placement**: Get featured by [KEY_PLATFORM/COMPANY] 3. **Distribution Packages**: Create easy-to-install packages/bundles 4. **Strategic Networking**: Lay groundwork to get in front of decision makers 5. **Revenue Optimization**: Convert awareness to revenue through automation ### Strategic Thinking Required Think proactively and work backwards from success: **End Goal → Intermediate Steps → Foundational Work** For example, if the goal is "Get featured by Anthropic": - ❌ Don't just suggest "email them" - ✅ Think about: - What groundwork must be laid first? - How are they being bombarded with requests? - What makes a request stand out? - Who are the internal champions/influencers? - What proof/validation do we need to show? - How can we demonstrate value before asking? - What strategic content positions us favorably? - Which departments should we approach? (hint: cross-department strategy) ### Framework Components For each marketing channel/tactic, provide: 1. **Automation Level**: What % can be AI-driven vs human-required 2. **Execution Scripts**: Actual code/pseudo-code for AI agents 3. **Success Metrics**: KPIs to track automatically 4. **Time Investment**: Setup time vs ongoing time 5. **ROI Projection**: Expected return for effort invested 6. **Dependencies**: What must happen first 7. **Failure Modes**: What could go wrong and mitigations ### Marketing Channels to Cover #### Phase 1: Foundation (Week 1-2) - SEO strategy with current ranking analysis - Content creation plan (AI-generated, human-approved) - Technical SEO automation - Backlink building strategy with AI-assisted outreach #### Phase 2: Viral Growth (Week 3-6) - Hacker News launch strategy with optimal timing - Product Hunt launch with community building - Content marketing flywheel - Community building (Discord/Slack/GitHub) #### Phase 3: Revenue Optimization (Week 4-12) - Conversion funnel optimization - Pricing experiments (A/B testing) - Enterprise sales strategy - Affiliate & partnership programs #### Phase 4: Scale (Month 3-12) - Fully autonomous marketing system - Metrics & dashboards - Network effects & ecosystem lock-in - Thought leadership positioning ### Agentic Execution Framework For each tactic, specify: **What Can Be Fully Automated (90%+):** - List specific tasks - Provide agent pseudocode - Identify decision points - Define success criteria - Specify human checkpoints **What Requires Human Oversight:** - Strategic decisions - Quality approval - Relationship building - Financial decisions **Weekly Time Investment After Setup:** - Monday: [tasks, time] - Tuesday-Thursday: [tasks, time] - Friday: [tasks, time] - **Total**: X hours/week for $Y/month revenue ### Success Metrics Provide projections for: - **Conservative**: Minimum viable success - **Realistic**: Expected outcome with solid execution - **Ambitious**: Best-case scenario with perfect execution Include: - User/customer counts - Revenue (MRR/ARR) - Rankings/visibility metrics - Community size - Conversion rates ### Critical Elements to Address 1. **First-Mover Advantage**: How do we capture it? 2. **Network Effects**: What creates lock-in? 3. **Moat Building**: Long-term defensibility 4. **Ecosystem Play**: Platform strategy beyond single product 5. **Thought Leadership**: Positioning as expert 6. **Automation Stack**: Specific tools and integrations ### Output Format Structure the strategy as: 1. **Executive Summary** (TL;DR version) 2. **Phased Implementation Plan** (with timelines) 3. **Agentic Execution Scripts** (actual code/pseudocode) 4. **Success Criteria** (measurable outcomes) 5. **Risk Analysis** (what could fail, mitigations) ### Meta-Cognitive Layer Before suggesting tactics, explicitly think through: 1. **Who is the target customer?** (be specific) 2. **What is the actual value proposition?** (not features, benefits) 3. **Where are they currently?** (channels, platforms) 4. **What do they search for?** (SEO keywords, intent) 5. **Who influences their decisions?** (thought leaders, platforms) 6. **What objections do they have?** (address proactively) 7. **What triggers a purchase?** (conversion moments) ### Special Considerations for [SPECIFIC_CONTEXT] [Add any domain-specific requirements, e.g.:] - For developer tools: Focus on GitHub, Hacker News, technical blogs - For enterprise: Focus on case studies, ROI calculators, security whitepapers - For consumer: Focus on social proof, testimonials, viral loops - For AI/ML products: Leverage Claude Code, MCP ecosystem, AI-native users --- ## Example Usage **Input:** ``` I'm launching a ClickUp MCP Server that extends native ClickUp functionality with 72 tools (vs 28 native), dependency management, and custom fields. Target users are developers using Claude Code for multi-agent workflows. How do I maximize revenue agentically? ``` **Expected Output:** - Comprehensive 5-phase marketing strategy - AI agent execution scripts for SEO, content, social - Specific tactics to get Anthropic to feature the MCP - Conversion funnel optimization - Revenue projections (conservative, realistic, ambitious) - Weekly time investment breakdown - Automation vs human requirements clearly delineated --- ## Key Patterns to Apply ### Pattern 1: Reverse Engineer Success **Instead of**: "We should get featured by [COMPANY]" **Think**: 1. Who decides what gets featured? 2. What criteria do they use? 3. What proof do they need? 4. Who already succeeded? How? 5. What groundwork must we lay? 6. What content positions us well? 7. Which internal champions can help? ### Pattern 2: Leverage Compounding **Instead of**: One-off tactics **Think**: 1. What creates network effects? 2. How does each user bring more users? 3. What content generates more content? 4. How do small wins create bigger wins? 5. What builds long-term moat? ### Pattern 3: Automate Ruthlessly **Instead of**: Manual execution **Think**: 1. What decisions can AI make? 2. What patterns can be codified? 3. Where is human judgment essential? 4. How do we monitor without micromanaging? 5. What are the feedback loops? ### Pattern 4: Multi-Channel Synergy **Instead of**: Isolated campaigns **Think**: 1. How does SEO feed social? 2. How does community build authority? 3. How does content support sales? 4. How do partnerships amplify reach? 5. What are the cross-channel opportunities? ### Pattern 5: Build the Flywheel **Instead of**: Linear growth **Think**: 1. What is the first spin? (initial push) 2. What makes it spin faster? (momentum builders) 3. What reduces friction? (remove barriers) 4. What adds energy? (growth loops) 5. What makes it self-sustaining? --- ## Execution Checklist When using this meta-prompt, ensure the output includes: - [ ] Specific, executable tactics (not generic advice) - [ ] Actual code/pseudocode for AI agents - [ ] Timeline with week-by-week breakdown - [ ] Budget estimates (if applicable) - [ ] Success metrics with tracking methods - [ ] Automation scripts and tools - [ ] Human decision points clearly marked - [ ] Risk analysis with mitigations - [ ] Examples and case studies where relevant - [ ] Integration with existing workflows --- ## Anti-Patterns to Avoid ❌ **Don't**: Generic marketing advice ("build an email list", "post on social media") ✅ **Do**: Specific tactics with execution details ("Use Buffer API to auto-post blog content to Twitter at 9am PT daily, track engagement, AI adjusts posting time based on performance") ❌ **Don't**: One-size-fits-all strategies ✅ **Do**: Context-specific tactics tailored to product, market, and resources ❌ **Don't**: Assume unlimited budget/time ✅ **Do**: Prioritize by ROI and leverage (80/20 rule) ❌ **Don't**: Ignore what's already working ✅ **Do**: Build on existing traction and momentum ❌ **Don't**: Focus solely on acquisition ✅ **Do**: Include retention, expansion, and referral strategies --- ## Success Indicators A good agentic marketing strategy should: 1. **Be 80%+ automatable** (AI agents + scripts) 2. **Have clear ROI metrics** (measurable outcomes) 3. **Compound over time** (network effects, flywheels) 4. **Require <10 hrs/week human time** (after setup) 5. **Generate passive revenue** (while you build other things) 6. **Scale without linear effort** (1 hour of work = 10x output) --- ## Adaptation for Different Products ### For Developer Tools: - Focus: GitHub stars, Hacker News, technical content - Channels: Dev.to, Reddit (r/programming), Discord communities - Proof: Open source, code quality, performance benchmarks - Influencers: Tech Twitter, YouTubers, newsletter writers ### For Enterprise B2B: - Focus: Case studies, ROI calculators, security compliance - Channels: LinkedIn, industry conferences, partner programs - Proof: Customer testimonials, enterprise readiness docs - Influencers: Industry analysts, consultants, existing customers ### For Consumer Products: - Focus: Viral loops, social proof, word-of-mouth - Channels: TikTok, Instagram, Reddit, Product Hunt - Proof: User testimonials, before/after, social proof - Influencers: Micro-influencers, community advocates ### For AI/ML Products: - Focus: MCP ecosystem, Claude integration, AI-native workflows - Channels: Anthropic Discord, AI Twitter, Hacker News - Proof: Integration guides, benchmarks, real use cases - Influencers: Anthropic team, AI researchers, early adopters --- ## Final Reminder **The goal is not just to create a marketing plan, but to create a SELF-EXECUTING marketing system that:** - Generates awareness automatically - Converts visitors to users automatically - Optimizes conversion automatically - Scales revenue automatically - Requires minimal human oversight **Think like a systems engineer, not a marketer.** Build feedback loops, automate decision-making, measure everything, and let AI handle the execution while you focus on strategy and high-leverage activities. --- ## Usage Instructions 1. Replace [BRACKETED_TERMS] with your specific context 2. Add domain-specific considerations in the special section 3. Feed to Claude with your product details 4. Review output for actionability and specificity 5. Iterate until you have executable AI agent scripts 6. Implement, measure, optimize, repeat **Remember**: The best marketing strategy is one that executes itself while you sleep. 🚀 ``` --- ## Example Instantiation Here's how this meta-prompt was used for the ClickUp MCP Server: **Input Context:** - Product: ClickUp MCP Server - Differentiation: 72 tools vs 28 native, dependencies, custom fields - Target: Developers using Claude Code for multi-agent workflows - Goal: Rank #1 for "clickup-mcp", get Anthropic to feature it, $2.5K/mo MRR **Output Generated:** - 5-phase marketing strategy (50+ pages) - AI agent scripts for SEO, content, social, support - Anthropic outreach strategy with pre-work checklist - Conversion funnel optimization with A/B test framework - Revenue projections: Conservative ($500/mo), Realistic ($1.2K/mo), Ambitious ($2.5K/mo) - Time investment: 10 hrs/week after automation setup - 90% automated, 10% human oversight **Key Insights Applied:** 1. Don't just email Anthropic - build proof first (100+ stars, testimonials, docs) 2. Target Claude Code + MCP intersection (underserved niche) 3. Create desktop extension package (lower friction) 4. Build SEO flywheel with AI-generated content 5. Leverage GitHub Discussions for community building 6. Use AI agents for support, engagement, content creation 7. Focus on dependency management as key differentiator 8. Position as "agentic project management" thought leader --- This meta-prompt can be reused for any future product launch, just swap the context variables and let AI generate a comprehensive, executable strategy. 🎯