How to Train AI on Your Own Data Using Google Apps Script — Complete Tutorial | E37

A chatbot that answers about your business, not about the world. The knowledge lives in a Google Sheet you write — your services, your prices, your policies, your opening hours — and Gemini answers from that, embedded on your website.

The sheet is the training

"Training AI on your own data" sounds like a machine-learning project. It is not one here: you fill a sheet with what the bot should know, and the answers come from it. Adding a service or changing a price is editing a row — no retraining, no fine-tuning, no developer. That is what makes it maintainable by the person who actually knows the answers.

Speaking the visitor's language

Ten languages are supported with automatic detection, so a visitor writing in Urdu, Arabic or Spanish gets an answer in the same language without choosing anything. For a business with customers across markets, that is a real gain over a bot that only handles English.

It captures leads, not just questions

The conversation feeds a lead capture system, and you get an email notification when a new lead arrives. A chatbot that only answers is a cost; one that leaves you a named enquiry with contact details is a channel. Chat history is kept in the browser's localStorage so a returning visitor picks up where they left off.

Controls and deployment

An offensive content filter screens what comes in, and role-based AI behaviour sets the persona and the boundaries of what the bot will discuss. It embeds into any website with a snippet, hosted by Google through Apps Script, and is responsive on mobile.