Fine-Tuning

Fine-tuning is taking a general AI model and retraining it on your own data so it answers in a specific style or domain.

Think of it as sending a smart generalist to a weekend course on your topic.

It changes how the model writes, not what shows up when a buyer asks ChatGPT for a recommendation.

Why it matters for the ChatGPT funnel

Mostly it doesn't, and that's the useful thing to know.

When someone asks ChatGPT "what's the best tool for X," the answer comes from live retrieval and the model's training, not from a model you fine-tuned.

You cannot fine-tune your way into being the pick.

So if a vendor pitches fine-tuning as the path to AI visibility, that's the wrong lever.

The real levers are showing up in answers and converting that intent once you do.

How drio fits

drio doesn't touch model weights, and you don't need it to.

We work at the moment after the assistant already surfaced you, turning that intent into a booked meeting inside the chat.

That's a funnel problem, not a training problem.