Retrieval-Augmented Generation (RAG)

Retrieval-augmented generation is how an AI assistant answers from your real content — your docs, pricing, and FAQs — instead of guessing from memory.

Before it replies, the assistant pulls in the source material that fits the question, then writes the answer from what it found.

So the buyer hears your actual offer, in your words, not a stale or invented version of it.

Why it matters for the ChatGPT funnel

When a buyer asks ChatGPT about your category, you want the answer grounded in your facts — not a hallucination that misquotes your price or features.

RAG is the mechanism that lets the assistant quote you correctly.

Get found, and your content can be retrieved. Get retrieved, and you can be the pick. That accuracy is what turns an AI mention into trust, and trust is what moves someone from browsing to a booked meeting.

If the assistant can only guess about you, it sends that high-intent buyer to whoever it can actually cite.

How drio fits

A tracker tells you whether AI answers mention you. drio is the layer that converts that visibility into pipeline.

When a buyer reaches the moment of intent, a drio app gets picked inside the chat and books the meeting — answering from your real offer and capturing the lead, instead of leaving the conversation to guesswork.