Abstract
Geo Optimizer Skill is an open-source Digital Marketing & SEO project. Open-source Answer Engine Optimization (AEO) & Generative Engine Optimization (GEO) toolkit — audit, optimize & track whether ChatGPT, Perplexity, Gemini & Google AI Overviews cite your site. AI SEO / LLM SEO. CLI, Python, MCP, Astro. Get the book — paperback + Kindle on Amazon · Book page & more details · ISBN 979-8172934568. It is built using Python. The complete source code is publicly available on GitHub under the MIT License, making it a useful reference for students building a Digital Marketing & SEO mini project or final-year project.
1. Introduction
Get the book — paperback + Kindle on Amazon · Book page & more details · ISBN 979-8172934568
2. Objective
Open-source Answer Engine Optimization (AEO) & Generative Engine Optimization (GEO) toolkit — audit, optimize & track whether ChatGPT, Perplexity, Gemini & Google AI Overviews cite your site. AI SEO / LLM SEO. CLI, Python, MCP, Astro.
This project demonstrates how Python can be applied to a real-world Digital Marketing & SEO problem.
4. Technology Stack
- Crawled — robots.txt, CDN access, AI-bot reachability
- Understood — schema, llms.txt, content structure
- Cited — citability signals across 47 research-backed methods
- Monitored — geo logs (crawler evidence) and geo access (access simulation)
5. System Requirements
General requirements for this technology stack — check the README for exact versions.
- Python 3.8 or later
- pip / virtualenv for dependencies
- VS Code, PyCharm or Jupyter Notebook
- Git (to clone the repository)
6. Installation & Setup
git clone https://github.com/Auriti-Labs/geo-optimizer-skill.git
cd geo-optimizer-skillpip install geo-optimizer-skilluvx --from geo-optimizer-skill geo audit --url https://yoursite.comexport SERPBASE_API_KEY=...
geo citations --brand "YourBrand" --domain yoursite.com --provider serpbaseFull 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 Auriti-Labs and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.
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