This workshop is designed for intermediate Claude users who want to move beyond AI chatbots and begin building practical AI tools that analyze and improve dealership website performance. During this hands-on session, participants will create an AI-powered website intelligence platform capable of scraping live dealership websites, connecting performance data from Google Analytics 4, and evaluating website quality through the lens of modern AI search and large language models.

The build will look like this:

1. Build a live dealership website scraper to collect website structure, content, metadata, and technical signals.
2. Connect Google Analytics 4 and key dealership KPIs to provide AI with meaningful business context beyond website content alone.
3. Create an AI-powered grading system that evaluates website quality, identifies optimization opportunities, and measures visibility across AI search and large language models.
4. Generate actionable recommendations that improve website performance, customer engagement, and AI discoverability.
5. Deploy the application and create a foundation that can be expanded with additional dealership data sources and performance metrics.

Requirements for the class:

Laptop computer with Claude Desktop installed, Claude Code configured, GitHub account, Supabase account, Vercel account, Google Analytics 4 access, and access to a dealership website that can be used during the workshop. Familiarity with Claude Code and basic development workflows is recommended.