AI Website Audit CLI

Abstract

1. Introduction

Open-source CLI for deterministic website audits and OpenAI-powered strategy reports using the modern Responses API.

The project is intentionally practical: developers, freelancers, agencies, indie hackers, and small businesses can run a quick website audit from the terminal, inspect the raw evidence, and produce a prioritized improvement plan.

The tool is MIT-licensed and designed to be easy to extend with new extractors, checks, prompts, and report formats.

2. Objective

Open-source AI-powered website audit CLI using the OpenAI API for SEO, UX, accessibility, performance, trust, and content analysis.

This project demonstrates how Python, OpenAI API 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.

• 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/Tools2U/AI-Website-Audit-CLI.git
cd AI-Website-Audit-CLI

git clone https://github.com/your-username/ai-website-audit-cli.git
cd ai-website-audit-cli
python -m venv .venv
source .venv/bin/activate  # Windows: .venv\\Scripts\\activate
pip install -e .

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 Tools2U 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.