Build Your Own Keyword Density Checker with Python & AI (No Coding Experience Required!)

Ever wanted to know exactly how many times a competitor is using a specific keyword across their entire website? In this build, I use AI to create a complete Python tool from scratch that scans any site and tells you exactly how often a keyword shows up—and on which pages. No manual page-by-page digging required, and no coding experience needed to follow along.

What This Tool Does

This is a keyword density checker built specifically for SEO research. Point it at a website, give it a keyword, and it crawls the site counting occurrences page by page. The results get exported straight to a clean CSV file, so you can open it up and see exactly where and how often that keyword is being used.

Why It Matters

If you've ever wondered why a competitor ranks so well for a certain term, this tool gives you a fast way to check their work. Run it against their site, compare it to your own, and you'll quickly spot content gaps or places where you're under-optimized. It turns a tedious manual research task into something that takes seconds instead of hours.

How the Build Works

The whole tool is built using Cursor, an AI coding assistant, working from plain-English prompts instead of hand-written code. Here's the general path the build follows:

• Use Cursor AI to generate the core Python logic from simple prompts
• Build a scanner that crawls a website and counts keyword occurrences per page
• Export results to a CSV file listing keywords and their corresponding URLs
• Add practical options like max pages to scan and whole-word matching
• Package the script into a standalone .exe file so it runs without a Python install
• Name exported files dynamically using the site's domain and a timestamp for easy organization

Who This Is For

Whether you're an SEO professional, a content marketer, or just someone who likes automating repetitive research tasks, this build is a good example of how far AI-assisted coding has come. You don't need to know Python to end up with a working, packaged tool that anyone on your team can run.

Key Takeaways

• AI-powered coding with Cursor turns plain-English prompts into working Python code
• Web scraping fundamentals for keyword and content analysis
• Building a simple GUI so non-technical users can run the tool
• Packaging Python scripts into standalone .exe files
• Practical applications for SEO and competitor research

Want to see the full build process step by step? Check out the walkthrough here: https://youtu.be/naY5cIosrJA

A free download of this tool is available right here on this page. If you've got an idea for a tool you'd like to see built, drop a comment on the video or reach out—and subscribe to follow along as new builds come out.