Stop Guessing What Your Leads Need: How to Use a Custom GPT for Young Living Lead Generation

You put real work into your lead magnet. You wrote something helpful, set up the opt-in, shared the link. Someone found it, liked what they saw, typed in their name and email, and now they’re in your contacts. Great! 

Except you have no idea who they are. You don’t know if they’ve been thinking about making a wellness change for months and are ready to actually do something about it, or if they downloaded your thing on a Tuesday night out of casual curiosity and forgot about it by Wednesday morning. 

You send them the same welcome email you send everyone. You hope something sticks. Sometimes it does. Usually it doesn’t.

That’s the part of lead generation nobody spends much time on—not the opt-in, but what comes right after. You did everything right and ended up with almost no useful information. So your follow-up is a guess. And for people who got into Young Living because they genuinely love connecting with people and helping them figure out what they need, sending a generic nurture sequence to a list of strangers doesn’t just underperform. It feels like the wrong approach entirely.

This week’s training was about changing that with GetOiling’s custom GPT feature—specifically using it for lead generation in a way that actually tells you who opted in and what they need before you ever reach out. The replay is below. You can also join us live at a future Weekly Work Session or start a $1 trial of GetOiling and try creating one yourself. It just takes a few minutes.

A form is designed to do one thing: collect contact information. It does that fine. What it can’t do is have a conversation. It asks the same questions of every person who lands on the page, in the same order, with no ability to follow up on what someone says or respond to what they share. Everyone who fills it out gets treated the same because a form has no way to tell them apart.

So you end up with a contact list that looks like it has a lot of potential and tells you almost nothing useful. The person who is three months into researching essential oils and ready to place an order is in there. So is the person who signed up because your freebie looked interesting and they’re not really sure what they want yet. And so is the person who is specifically looking for the kind of support you offer and would respond immediately to a personal note that spoke to their situation. You can’t tell them apart. They’re all just names and email addresses.

This is what makes follow-up so hard. It’s not that Brand Partners don’t know how to connect with people—most do, and do it well. It’s that a form hands you a list of people and no context, and you’re expected to write something meaningful for all of them at once. That’s not a people problem. It’s a tools problem.

When you don’t know anything about the people on your list, you write for the middle. You pick a tone that’s friendly but not too familiar. You cover ground that might be relevant but don’t get too specific because you don’t know if it applies. You send it to everyone and hope that some percentage of them feel like you’re talking to them. Some do. Most don’t.

The follow-up that actually works isn’t the cleverest one. It’s the one that makes the person reading it think you already know a little something about their situation. The Brand Partners who are best at converting leads into customers aren’t necessarily doing anything more sophisticated than everyone else—they just tend to know something real about the person before they reach out. They had a conversation at a class. They answered a question in a DM that turned into something. They asked one good question early and it changed everything about how the follow-up went.

The problem is that you can’t do that one at a time with every person who opts into your list. You need a way to learn something meaningful about each lead at the moment they raise their hand—without spending an hour on a call with every single one of them first.

Here’s what that pattern looks like in practice: someone opts in on a Monday. You get a notification. You open your contacts and see a name and an email address. You want to reach out, but you don’t know if this is a “hey, just wanted to say welcome” situation or a “let’s find a time to actually talk” situation. You write something safe. They read it and move on. That moment—when someone is most engaged, right after they opted in—passes. And there’s no getting it back.

A conversation works differently than a form because it responds to what someone actually says. Instead of presenting a fixed set of questions and moving on, it follows the thread. It can ask a follow-up. It can take a different direction based on what someone shares. And because it feels like an exchange rather than data collection, people tend to say more—not because you tricked them into it, but because a conversation naturally invites more than a checkbox does.

A well-built lead gen GPT asks the questions that would change how you follow up. Not “what’s your name and email”—it collects that too, but in the middle of a conversation where the person is already engaged. The questions that matter are the ones like: what’s been going on for you lately? What have you already tried? What does a good outcome look like for you right now? Those aren’t form questions. They’re conversation questions. And the answers to them tell you things that genuinely change what you say next.

By the time someone finishes a conversation with your lead gen GPT, you know whether they’re ready to take action or still figuring things out. You know what they care about. You know where they’re stuck. Your first message to them isn’t a guess dressed up as a welcome email. It’s a response to something they actually told you. That’s a completely different starting point for a relationship.

Think about the last time you had a really good first conversation with someone who became a loyal customer. You probably learned something specific in those first few minutes that shaped everything that came after. A lead gen GPT recreates that dynamic at scale—so every new opt-in gets a real exchange, not a form with a submit button.

Here’s the part that changes how you spend your time. When everyone on your list looks the same, you either reach out to everyone equally (which takes forever) or you don’t prioritize at all and just hope the people who are ready find their way to you. Neither of those is a great system.

When your lead gen GPT collects real context, that context becomes a signal. The person who said they’ve been dealing with a specific challenge for months and are ready to make a change is not the same as the person who’s just starting to explore. You don’t have to guess who to contact this week. Your own list tells you.

This also changes what you send. The person who is ready right now gets a message that meets them there. The person who is still in research mode gets something that makes sense for where they are. Neither of them feels like they ended up on a list that wasn’t built for them—because the follow-up you’re sending reflects what they actually shared with you. That’s what makes it feel personal. Not because you wrote something especially warm, but because it’s true for that particular person.

For Brand Partners who have ever felt that twinge of guilt about “working their list”—this is why it goes away when you actually know your people. You’re not broadcasting. You’re responding. That feels different, because it is different.

There are a handful of ways this shows up naturally for Brand Partners. A few worth thinking about:

A wellness conversation as a lead magnet. Instead of a downloadable guide, you offer a short chat: tell me a little about where you are with your wellness goals and I’ll point you toward what might help most. The person gets a useful, personalized experience. You get a contact who’s already told you what they’re looking for. No form. No blank slate.

A “where should I start” GPT. One of the most common questions from people new to Young Living is just where to begin. There’s a lot to explore and it can feel overwhelming. A short conversation that asks about their goals and lifestyle and gives them a personalized place to start delivers real value right away—and gives you exactly the context you need for a meaningful follow-up.

A pre-class or pre-event qualifier. If you host wellness classes or events, a GPT on your registration page can ask a few questions before someone books. By the time they show up, you already know who’s in the room. The people most likely to take a next step after the class are already identified.

A team opportunity entry point. For Brand Partners focused on growing their team, a GPT can be the first conversation with someone curious about the opportunity. You find out right away who’s seriously interested and what they’re looking for, and you can follow up in a way that matches—without spending an hour on a discovery call with someone who just wanted to look around.

The thing these all have in common is that the person on the other end of the conversation gets something genuinely useful—a personalized recommendation, a clear starting point, or a sense that you actually heard them. That experience sets the tone for everything that comes next. And you get the information you need to make the follow-up worth reading.

Most follow-up struggles aren’t about effort. Brand Partners are willing to put in the work. The problem is usually that the first message doesn’t land—not because it’s bad writing, but because it’s writing that could apply to literally anyone. And people can feel that.

A few patterns that tend to come up: sending a welcome email that’s really just a product overview (the person hasn’t said they want product info yet). Following up days later, after the initial excitement has worn off. Writing something that feels more like a pitch than a conversation starter. None of these are catastrophic on their own, but they all share the same root cause—not knowing enough about the person to say something that actually connects.

When you know from the conversation that someone is specifically trying to support their sleep, or that they’ve been struggling with a particular challenge, or that they’ve tried other things before and felt let down—that changes everything about what you write. You’re not crafting a message. You’re responding to a person. The lead gen GPT is what makes that possible before you’ve ever spoken directly.

A conversation that just sits in a chat log somewhere isn’t much more useful than a form. What makes this work inside GetOiling is that nothing disappears. Everything someone shares feeds directly into their contact record—tagged, segmented, and connected to the follow-up that fits what they told you.

You set up the outcomes in advance. Someone who says they’re ready to make a change right now gets one tag and one campaign. Someone who’s still exploring gets another. The GPT figures out which outcome fits what was shared and acts on it automatically. You get a conversation summary sent to you so you can see exactly what was said. The contact gets a follow-up that reflects it. And none of that requires you to log into anything, sort through responses, or manually decide who goes where.

If you tried to set this up with a standalone chatbot tool, you’d spend more time building the connections between that tool and your email list and your CRM than you would actually using it. And those connections break. With GetOiling, the GPT is already inside the same system as your contacts, your campaigns, and your automations. There’s nothing to connect because it was never separate.

That’s not a small thing. One of the most common frustrations Brand Partners describe is the feeling that their tools don’t talk to each other. You learn something about a contact in one place and it never makes it to the place where you actually send emails. Something falls through the gap and you lose the thread. GetOiling’s approach is that the conversation, the contact record, the automation, and the follow-up are all the same system—so nothing gets lost between steps.

In this week’s session, we walked through exactly how to build a lead gen GPT in GetOiling—what questions to ask, how to set up outcomes, and how what someone shares automatically triggers the right follow-up. If you want to see it in action before you build your own, the replay is the fastest way to get there. There’s a specific section on structuring your GPT’s questions that’s worth watching closely—it’s the part that makes the difference between a chat that collects data and one that actually starts a relationship.

The people who opt into your lead magnet are real people with real situations, and most of them get a generic email that wasn’t written for them. A lead gen GPT doesn’t change how many people opt in—it changes what you know about them when they do. And that changes everything about what comes next.

Future sessions will go deeper into specific builds and use cases. The best way to stay connected is to join us live every Thursday at 12pm ET. And if you’re not yet on GetOiling, start your $1 trial here and try building your first lead gen GPT today.