awesome-ai-gtm
🥈SilverA curated list of AI agents and tools for building autonomous Go-to-Market (GTM) funnels - from ideation to customer success.
400Updated 2mo ago
Intermediate30min to implementmarketing
Saves ~30 min per use
Quick InstallView Source
git clone https://github.com/hculap/awesome-ai-gtm.gitWorks with:
Claude
Overview
About This Skill
Awesome AI GTM is a comprehensive collection of AI agents and tools designed to build complete, autonomous Go-to-Market funnels across every stage: ideation and strategy, marketing and content creation, sales and conversion, pipeline management, and customer success. The repository organizes tools across multiple functional areas including ideation, market research, content strategy, lead prospecting, email outreach, sales enablement, and customer support. It serves product teams, marketers, sales leaders, and entrepreneurs who want to understand how AI agents work together to automate complex GTM workflows, replacing traditional point solutions with integrated, multi-step processes.
How to Use
1. **Customize the Prompt:** Replace [COMPANY_NAME], [PRODUCT_NAME], [BRIEF_PRODUCT_DESCRIPTION], [TARGET_AUDIENCE], and tool names (e.g., [LEAD_GENERATION_TOOL]) with your specific details. Use the example’s structure for clarity. 2. **Run the AI Agent:** Paste the customized prompt into your AI tool (e.g., Claude, ChatGPT, or a dedicated GTM platform like dealcode). Specify if you want the output in a structured format (e.g., Markdown table for the timeline). 3. **Validate & Refine:** Review the AI’s output for accuracy. Cross-check audience pain points with real customer data or surveys. Adjust messaging if the AI misaligns with your brand voice. 4. **Integrate Tools:** Map the recommended tools (e.g., dealcode Lead Search, Smart Outreach) to your existing stack. For example, if you use HubSpot, replace dealcode CRM with HubSpot and adjust the AI’s CRM-specific recommendations. 5. **Execute & Iterate:** Use the AI-generated campaign assets (emails, videos, battle cards) as templates. A/B test variations (e.g., subject lines, CTAs) and feed performance data back into the AI for optimization. Schedule bi-weekly reviews to refine the GTM plan based on real-world results.
Use Cases
Map the complete AI GTM stack for your organization
Identify AI agents for specific funnel stages (ideation, marketing, sales, support)
Research market research and competitive intelligence tools
Discover content creation and SEO strategy automation solutions
Tags
Setup & Installation
Quick Install
No install command available. Check the GitHub repository for manual installation instructions.
Alternative Install (Git Clone)
git clone https://github.com/hculap/awesome-ai-gtmRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Act as an autonomous GTM AI agent for [COMPANY_NAME]. Your task is to design a full-funnel Go-to-Market strategy for launching [PRODUCT_NAME], a [BRIEF_PRODUCT_DESCRIPTION]. Start by identifying [TARGET_AUDIENCE] and their pain points. Then, generate a 3-phase GTM plan covering: 1) Pre-launch (research, positioning, content), 2) Launch (outreach, campaigns, PR), and 3) Post-launch (retention, upsell, advocacy). Include specific AI tools and tactics for each phase, such as [LEAD_GENERATION_TOOL], [OUTREACH_AUTOMATION_TOOL], and [CRM_TOOL]. Provide a timeline with milestones and KPIs to measure success.
Example Output
### **Autonomous GTM Strategy for Acme Corp: Launching 'CloudFlow AI' (AI-Powered Data Pipeline Automation for Mid-Market Manufacturing Firms)**
**Phase 1: Pre-Launch (Weeks 1-4)**
**Audience & Pain Points:**
- **Target Audience:** Operations managers and CTOs at mid-market manufacturing firms (100-1,000 employees) in the US and Germany.
- **Pain Points:** Manual data pipeline management (ETL), siloed systems, and lack of real-time analytics leading to delayed decision-making and operational inefficiencies.
- **Data Source:** LinkedIn Sales Navigator + dealcode Lead Search Engine identified 1,200 potential leads. AI-powered lead enrichment confirmed 850 valid contacts with up-to-date emails and phone numbers.
**Positioning & Messaging:**
- **Core Value Prop:** "Automate your data pipelines in days, not months—with AI that adapts to your unique workflows."
- **Differentiators:**
- No-code integration with legacy ERP systems (SAP, Oracle).
- Predictive maintenance alerts for pipeline failures.
- 40% faster time-to-insight vs. manual processes.
- **Content Strategy:**
- **Blog Series:** "How AI is Revolutionizing Manufacturing Data Pipelines" (3 articles, SEO-optimized).
- **Whitepaper:** "The Hidden Costs of Manual Data Pipelines in Manufacturing" (gated asset for lead capture).
- **LinkedIn Posts:** 2x weekly, highlighting customer pain points and solution teasers.
- **AI-Generated Video:** 60-second explainer video using dealcode’s Smart Outreach tool (created in 15 minutes from script).
**Tools & Tactics:**
- **Lead Generation:** dealcode Lead Search Engine ("Find 50 manufacturing CTOs in the US with SAP integrations").
- **CRM Setup:** dealcode Free Sales CRM auto-populated with enriched leads and tagged by industry (manufacturing) and role (CTO/Operations).
- **Competitor Analysis:** AI scraped and summarized competitor websites (e.g., Talend, Informatica) to identify gaps in their messaging.
**Phase 2: Launch (Weeks 5-8)**
**Outreach & Campaigns:**
- **Multi-Channel Campaign:**
- **Email:** 3-touch sequence using dealcode Smart Outreach (personalized subject lines like "[First Name], your SAP data is costing you $X/month").
- **LinkedIn:** Sponsored InMail to 500 targeted leads (CTA: "Book a 15-min pipeline audit").
- **Retargeting:** Google Ads and LinkedIn retargeting for website visitors who didn’t convert.
- **PR & Partnerships:**
- Press release distributed via dealcode’s network to tech publications (e.g., Manufacturing.net).
- Partnership with a SAP consulting firm for co-hosted webinar: "AI-Powered Data Pipelines for SAP Users."
- **Launch Event:** Virtual roundtable with 3 manufacturing leaders sharing their data pipeline challenges (recorded and repurposed as content).
**Sales Enablement:**
- **Battle Cards:** AI-generated competitive battle cards (e.g., "CloudFlow AI vs. Talend: Speed & Cost Comparison").
- **Demo Scripts:** AI-crafted demo scripts tailored to different roles (CTO, Operations Manager).
- **Objection Handling:** AI analyzed 500+ customer objections from past deals to preemptively address concerns like "Will this disrupt our existing workflows?"
**Phase 3: Post-Launch (Weeks 9-12+)**
**Retention & Upsell:**
- **Onboarding:** AI-generated training videos (using dealcode Smart Outreach) for new customers, reducing onboarding time by 60%.
- **Customer Success:** AI-powered CRM updates (e.g., "Customer X hasn’t logged in for 7 days—trigger a win-back email").
- **Upsell Campaign:** Target customers using CloudFlow AI for basic pipelines with an AI-generated case study: "How [Customer Y] Reduced Pipeline Failures by 70%."
**Advocacy:**
- **Referral Program:** AI-crafted email templates for customers to refer peers (e.g., "Get 1 month free for every qualified referral").
- **Case Studies:** AI-assisted interviews with top customers to create 3 in-depth case studies (e.g., "How [Customer Z] Cut Data Pipeline Costs by 50%").
- **Community Building:** LinkedIn group for customers to share best practices (moderated by AI to highlight top contributors).
**Timeline & KPIs:**
| **Phase** | **Milestone** | **KPI** | **Target** |
|-----------------|----------------------------------------|----------------------------------|------------------|
| Pre-Launch | 850 enriched leads in CRM | Lead Quality Score | 90% valid emails |
| | 3 blog posts published | Organic Traffic Growth | 20% MoM increase |
| Launch | 200 demo requests booked | Conversion Rate (Demo → Trial) | 15% |
| | Webinar with 100+ attendees | Webinar-to-Trial Conversion | 10% |
| Post-Launch | 50% customer retention rate | Net Promoter Score (NPS) | 50+ |
| | 3 case studies published | Referral Rate | 15% of new leads|
**Tools Used:**
- Lead Generation: dealcode Lead Search Engine
- Outreach: dealcode Smart Outreach
- CRM: dealcode Free Sales CRM
- Content: dealcode Smart Outreach (videos), AI blog writers
- Analytics: dealcode AI dashboard for real-time pipeline tracking
**Budget Allocation:**
- 40% on paid ads (LinkedIn, Google)
- 30% on content creation (AI + human editors)
- 20% on sales enablement (battle cards, demo scripts)
- 10% on PR and partnershipsApply to these tools
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