CampaignPilot is an AI-powered GTM (Go-To-Market) decision engine that helps sales teams evaluate target accounts before outreach.
The workflow combines campaign criteria with company data, uses an LLM to qualify accounts, generates structured GTM insights, and automatically updates Google Sheets with lead scores, recommendations, and outreach readiness.
The project demonstrates how no-code automation, AI, and structured workflows can reduce manual prospect qualification while keeping the process scalable and cost-efficient.
Outbound teams often spend hours manually reviewing company lists before starting outreach.
Typical challenges include:
- Manual account qualification
- Inconsistent lead scoring
- Generic prioritization
- Time-consuming spreadsheet work
- Repeated evaluation of the same accounts
CampaignPilot automates this qualification process using AI.
CampaignPilot processes company records through an automated workflow that:
- Reads campaign configuration
- Imports company data
- Evaluates each account against an ICP
- Assigns AI lead scores
- Generates qualification reasoning
- Classifies outreach readiness
- Updates the database automatically
- Skips companies that have already been processed
✅ AI Account Qualification
Evaluate companies against predefined ICP criteria.
✅ AI Lead Scoring
Generate a structured score representing account quality.
✅ GTM Decision Engine
Produce actionable recommendations including:
- Qualification
- Strengths
- Risks
- Recommended action
✅ Google Sheets Integration
Automatically update enriched company records.
✅ Batch Processing
Process multiple companies within a single workflow execution.
✅ Cost Optimization
Previously processed companies are automatically skipped to reduce API usage.
flowchart LR
A[Apollo / Google Sheets] --> B[Campaign Config]
B --> C[Raw Import]
C --> D{AI Score empty?}
D -- Yes --> E[Prepare GTM Context]
E --> F[AI Agent]
F --> G[Add AI Data in Sheets]
G --> H[Update Status]
H --> I[Update row in sheet]
D -- No --> J[Skip processed row]
| Category | Tools |
|---|---|
| Automation | n8n |
| AI | OpenAI GPT |
| Database | Google Sheets |
| Prospecting | Apollo |
| Data Format | JSON |
| Workflow | JavaScript |
Stores campaign goals, ICP, filters, keywords and targeting rules.
Contains imported company records together with AI-generated enrichment.
Displays qualified companies ready for outbound workflows.
The dashboard provides a high-level operational view of campaign performance, qualification metrics, and workflow health.
The current implementation successfully demonstrates:
- Processed 50 SaaS companies
- Automated AI qualification
- Automated lead scoring
- Structured GTM recommendations
- Google Sheets synchronization
- Duplicate prevention
- Batch workflow execution
- Cost-optimized processing using conditional execution
CampaignPilot/
├── assets/
├── docs/
├── n8n/
├── prompts/
├── sample-data/
└── README.md
Future versions may include:
- Contact enrichment
- CRM integrations
- Instantly export automation
- HeyReach export automation
- Multi-campaign management
- Dashboard analytics
- Automated email generation
- LinkedIn personalization
This project helped me explore practical GTM Engineering concepts including:
- AI workflow orchestration
- Prompt engineering
- Automation design
- Conditional workflow optimization
- Batch processing
- AI-powered lead qualification
- Google Sheets as an operational database
- Workflow documentation
Mohil Wankar 💎
Linktree: https://linktr.ee/mohil.wankar
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