How to Get Better Leads Using a Chatbot on Your Website

Every time someone signs up for your free offer, you find out two things about them: their name and their email address. That’s it. You don’t know how long they’ve been dealing with the problem your work addresses. You don’t know if they’ve tried other approaches and hit a wall, or if they just discovered this was something they could get help with. You don’t know if they’re ready to invest in working with someone or still in the early stages of figuring out what they need. They all look exactly the same in your list. So you send everyone the same welcome email, the same follow-up sequence, the same offer — and you wonder why some people engage and most people go quiet.

This isn’t a content problem or a copywriting problem. It’s an information problem. You’re trying to follow up with people you don’t actually know yet. And the tool most coaches use to collect those sign-ups — a simple form — was never designed to fix that.

AttractWell’s custom GPT feature changes this in a way that’s worth understanding. The replay from this Office Hours session is embedded below — watch it to see the full setup in action. If you’re not yet an AttractWell member, start a $1 trial here. And if you want to join us live at a future Office Hours session, grab your spot here.

A sign-up form does one thing: it collects contact information. Name, email, maybe a phone number if you ask for it. It doesn’t ask why someone signed up, what they’re hoping to get out of it, or where they are in relation to the problem your work helps with. It can’t. It’s a form. It has boxes and a submit button and that’s the end of the interaction.

The problem is that what someone fills out on a form is almost never what you actually need to know about them. You need to know how long they’ve been dealing with whatever brought them to you. You need to know what they’ve already tried, what hasn’t worked, and what feels most urgent right now. You need to know whether they’re early in the process of figuring things out, or further along and ready to make a decision. None of that fits in a form field, so most coaches never find out — or they find out much later, in a discovery call, if the person ever books one at all.

This gap between what you collect and what you actually need to know has a real cost. Your follow-up has to be written for everyone, which usually means it’s truly relevant to no one. People who were genuinely interested when they signed up gradually disengage because nothing they receive feels like it was written for someone in their specific situation. And some of your best potential clients — the ones who were close to ready — quietly move on because nothing in the follow-up gave them a reason to take the next step.

Think about the difference between filling out a form and having a conversation with someone who’s genuinely interested in helping you. The form asks for your name and email and says thank you. The conversation asks follow-up questions. It responds to what you share. It gives you something back based on what you tell it.

People behave differently in conversations than they do in forms. When something feels like a real interaction — even with a chatbot — people share more. They answer questions they’d skip on a form. They describe their situation in their own words rather than picking the closest option from a dropdown. And because the chatbot can respond to what they say and ask a relevant follow-up question, the conversation goes somewhere a form never could.

There’s also something important about what a conversation can give back that a form can’t. A chatbot can respond based on what someone shares — pointing them toward a resource that fits their situation, helping them understand which of your offers makes sense for where they are, or giving them a genuinely useful piece of guidance before they ever see a sales page. That kind of exchange builds trust in a way a download confirmation email simply doesn’t. The person leaves the interaction having gotten something real, with a first impression of your brand that feels personal rather than automated.

When you build a lead generation chatbot with AttractWell’s custom GPT, you design the conversation around what you actually need to know about a new contact. The questions depend entirely on your work, your offers, and what’s most useful for you to understand about someone before you follow up. You might ask how long they’ve been dealing with a particular challenge, what they’ve already tried, or what feels most pressing right now. The chatbot isn’t a generic tool — it’s trained on your content and built around your specific context.

As the conversation unfolds, the chatbot collects their name and email — no separate form required — along with everything they share. That information doesn’t just sit in a log somewhere. You define outcomes based on what people say, and each outcome can trigger something specific inside AttractWell. Tag a contact based on where they are or what they need. Start a follow-up email series that’s written for their particular situation. Redirect them to a specific page or a booking link if they seem ready for a more direct next step. Create a task that reminds you to reach out personally when someone is a strong fit for your most hands-on offer.

This is what makes it meaningfully different from a chatbot that just collects contact info and stops there. The conversation is the beginning of a personalized experience, not a fancier version of a form. What someone shares determines what they receive next — automatically, without you making individual decisions about each new contact.

Every conversation is also summarized and logged to that contact’s record in your CRM. So when someone books a call a week after chatting with your site, you can pull up exactly what they said before you get on the phone. You already know what they’re dealing with, what they’ve tried, and which offer makes the most sense for where they are. The call starts from a completely different place because you’re not spending the first few minutes figuring out who you’re talking to.

Say you offer a free resource — a guide, a checklist, a short video series — for people who are dealing with the problem your work addresses. Right now, someone downloads it, gets added to your list, and receives your standard welcome sequence. You don’t know if they just discovered this was something they could get help with, or if they’ve been struggling with it for a long time and are finally ready to do something about it. You send everyone the same emails either way.

With a custom GPT, that free resource becomes a conversation. Someone shares their name and email to get access, and the chatbot asks a few straightforward questions relevant to your work: Where are you right now with this? What have you already tried? What feels most urgent? Based on their answers, the chatbot responds with something personally relevant — a specific resource, a recommendation, a next step that fits where they are. On the back end, their answers tag them in your CRM and place them into a follow-up sequence written for someone in their specific situation.

The resource they came for is still there. But now they’ve also had an interaction with your brand that felt considered and personal, got them something genuinely useful, and gave you everything you need to follow up in a way that actually makes sense for who they are. That’s a fundamentally different first impression than a thank-you page and a generic welcome email.

Consider what this means for someone who’s further along — maybe they’ve been aware of your work for a while and they grab your free offer because they’re finally ready to take a real step. A form can’t tell you that. A conversation can. And when the chatbot picks up that this person is close to making a decision, it can route them toward a more direct next step — rather than dropping them into the same sequence as someone who just discovered you yesterday and needs more time and information before they’re ready to move.

The most common mistake is asking too many questions. A chatbot conversation should feel like a helpful exchange, not an intake form with a friendlier interface. Three to five well-chosen questions will get you more useful information than ten that feel like a survey. The goal is to learn enough to respond meaningfully — not to collect every possible data point before the person loses patience and closes the window.

The second mistake is designing the conversation without thinking through the outcomes first. Before you write a single question, map out what you actually want to happen based on different responses. If someone is brand new to your work and needs orientation, what should they receive? If someone has been dealing with this for a long time and is clearly ready to invest in a solution, what’s the right next step for them? The questions should follow from the outcomes you want to create, not the other way around.

The third is treating the chatbot as a standalone tool rather than thinking about what it connects to. The value of having this built into AttractWell is that every outcome you define can trigger something real — a tag, a campaign, a redirect, a task. If you set up the conversation but don’t connect it to follow-up, you’re collecting better information than a form would give you, but you’re still not using it. The follow-up is where the intelligence the chatbot gathered actually pays off.

AttractWell’s custom GPT is flexible about where it lives. It can be a standalone page on your website that you share anywhere you’d normally send people to grab your free offer. A popup on a blog post covering something your ideal clients are searching for. Embedded on your sales page for visitors who want to ask a question before they decide. It can also be embedded on pages outside of AttractWell entirely, so it can go wherever your audience already is.

Because it’s built into the platform, the information it collects flows directly into your CRM, your tags, and your automations — no separate chatbot account, no integration to maintain, and no moment where data gets lost between systems.

If you wanted to build something like this using tools that aren’t connected to each other, here’s roughly what it would involve. A chatbot platform — a separate account, a separate subscription, something new to learn. A connection to your email marketing platform so contacts get added to your list. A way to pass the data the chatbot collects into your CRM so you can actually use it. Tags and automations on the other end so the right follow-up goes to the right people. And all of those connections need to keep working every time one of the tools makes a change on their end.

Even when people manage to set this up, it’s fragile (and expensive). Something breaks quietly, nobody notices, and contacts stop getting tagged or the follow-up sequence never fires. The value of having it built into AttractWell isn’t just convenience — it’s reliability. The chatbot, the CRM, the automations, and the follow-up all live in the same place. When someone has a conversation, the right things happen on the back end every time, because there’s no chain of integrations waiting to break.

In this session we walked through exactly how to use AttractWell’s custom GPT for lead generation — from designing the conversation to setting up outcomes to connecting everything to your follow-up inside the platform. Watch the replay below to see the full setup process and get a clear picture of what this looks like in practice.

The gap between collecting someone’s email address and actually knowing who they are is where most follow-up falls flat. When you know what someone is dealing with, what they’ve already tried, and what they’re hoping for, every touchpoint after that can speak to them specifically — and that changes how people experience your brand from the very first interaction.

If you’re not yet an AttractWell member and want to see what it looks like to have your chatbot, your CRM, your follow-up, and your courses all running from the same place, start your $1 trial here. And if you want to join us live at a future Office Hours session to see AttractWell in action, grab your spot here.