Synthetic Data
Synthetic data is fake-but-realistic data that machines generate to train AI when real data is scarce
Synthetic data is information a machine makes up to look like the real thing. Instead of collecting examples from actual customers or events, teams generate artificial records that share the same patterns. It's used to train and test AI models when real data is missing, sensitive, or too expensive to gather.
Why it matters for the ChatGPT funnel
You'll hear this term from your data and engineering side, not your funnel. For your day-to-day, it's mostly under the hood.
The one thing worth knowing: the models behind ChatGPT are increasingly trained on synthetic examples. That doesn't change how buyers find you in an AI answer, and it doesn't change what wins the pick. Showing up and converting still comes down to being the app the assistant can actually book a meeting through. Don't let "synthetic data" pull your attention away from the demand that's already sitting in those chats.
How drio fits
drio works on the side of the funnel you can control: turning AI-search demand into booked leads. Whatever data trains the model, drio is the layer that catches the buyer when they ask and books the meeting right there. That part is real, measurable, and yours.
Win the answer, not just the ranking
drio turns the ChatGPT and Claude conversations your buyers are already having into booked calls. Build the app that gets you picked.
Sell inside ChatGPT