Abstract
Analytics Tracking Automation is an open-source Digital Marketing & SEO project. AI-powered GA4 + GTM event tracking — automates site analysis, event schema, GTM sync, preview verification, and publishing. Works with Cursor, Codex, and any AI agent. analytics-tracking-automation is a local-first AI skill for planning, reviewing, and delivering GA4 + GTM tracking. It is built using TypeScript. The complete source code is publicly available on GitHub under the Apache License 2.0, making it a useful reference for students building a Digital Marketing & SEO mini project or final-year project.
1. Introduction
analytics-tracking-automation is a local-first AI skill for planning, reviewing, and delivering GA4 + GTM tracking.
This skill is best when you want the agent to act like a tracking lead, not just a command runner.
GA4 + GTM, done by AI. From site analysis to go live. Works with Cursor · Codex · Any AI Agent
2. Objective
AI-powered GA4 + GTM event tracking — automates site analysis, event schema, GTM sync, preview verification, and publishing. Works with Cursor, Codex, and any AI agent.
This project demonstrates how TypeScript can be applied to a real-world Digital Marketing & SEO problem.
4. Technology Stack
5. System Requirements
General requirements for this technology stack — check the README for exact versions.
- Node.js (LTS) and npm / yarn / pnpm
- VS Code or any code editor
- Git (to clone the repository)
6. Installation & Setup
git clone https://github.com/jtrackingai/analytics-tracking-automation.git
cd analytics-tracking-automation- richer tracking design based on concrete business flows
- server-side tracking and custom loaders
- more destination and ad-platform integrations
- longer-term tracking operations and maintenance
Full setup instructions are in the project README.
7. Future Enhancements
Suggested extensions you can add to make this your own project.
- Export reports to Google Sheets or PDF
- Schedule weekly automated reports
- Add competitor comparison
8. Viva / Review Questions
Common questions examiners ask for projects in this domain.
- Which marketing or SEO problem does this tool solve?
- Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
- Which metrics or KPIs does it report and how are they calculated?
- How could the output help a business make decisions?
- How would you schedule it to run automatically?
9. Source Code & License
This project is developed by jtrackingai and published on GitHub under the Apache License 2.0. Please follow the license terms and credit the original author when you use or modify this code.
Want to build this as your internship project?
Work on a Digital Marketing & SEO project like this with mentor guidance, weekly reviews and an internship certificate from Training Trains, Erode — online or offline.
Apply for Digital Marketing & SEO Internship