I recently had an interesting experience where I used AI to build a local SEO crawler in just 3 days, a task that would have normally taken me around 10 days. The best part? It only cost me around $15 in AI credits.
I started by brainstorming and creating specs for the tool, which would crawl websites to identify SEO best practices or errors and provide recommendations. I used AI tools like Gemini 2.5 Pro and GPT5 to help with this process, which took around 2 hours.
The next step was to work on the database, which I did using GPT5. This took less than an hour, and I made sure to validate the database schema first before proceeding.
For the design, I used Claude Sonnet 4.5, which replicated the design of my existing audit tool in under 10 minutes. I was impressed by how accurately it copied the components and reproduced the interface.
The AI development process was also fascinating, as I used Claude Sonnet 4.5 to generate the crawler and audit tests. While it didn’t produce perfect results, it saved me a significant amount of time and effort.
The bulk of the work came in the verification, debugging, and improvement stage, where I used both Claude Sonnet 4.5 and GPT5 to review and refine the code. I had to manage the parts that the AI left out, such as translations and error handling, but I barely had to write any code myself.
Overall, my experience with using AI to build a local SEO crawler was incredibly positive, and I’m excited to explore more ways to leverage AI in my development work.
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