Seotoolsuite

Abstract

1. Introduction

SEOToolSuite provides open-source SEO tools for everyone. Pay only for what you use, with unrestricted access to SEO data. Keyword research, competitive research, and backlink research, powered by DataForSEO. An open-source alternative to Ahrefs, SEMrush, and others.

The Keyword Overview tool gives a quick snapshot of a keyword’s performance, including search volume, intent, CPC, competition, trends, and audience insights - helping you evaluate keyword potential and plan your SEO strategy faster.

The Traffic Overview tool analyzes a website’s organic and paid search performance. It provides insights such as estimated traffic, ranked keywords, traffic cost, ranking changes, and historical trends - helping you understand competitor performance and identify SEO opportunities.

2. Objective

Open source SEO tools for everyone. Keyword research, competitive research, and backlink research, powered by DataForSEO.

This project demonstrates how TypeScript, Next.js 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/nitishkgupta/seotoolsuite.git
cd seotoolsuite

npm install

npm install

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.

1. Which marketing or SEO problem does this tool solve?
2. Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
3. Which metrics or KPIs does it report and how are they calculated?
4. How could the output help a business make decisions?
5. How would you schedule it to run automatically?

9. Source Code & License

This project is developed by nitishkgupta 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.