Introduction to GetLeads 🔍

Get Leads is best known for our unlimited B2B contact database that is refreshed monthly or daily.

And the thing that we do really, that's really unique, is that you access it via your AI.

So it's via MCP or API.

That's the primary way.

It's the only real way to use Get Leads.

And we're really focused on that person, the GTM engineer, who is really AI native.

We also have a live lead section, which is pay as you go leads which are scraped real time, which I'll get into later.

But let's talk about the unlimited B2B database, because that's probably how you found out about us.

And the first way people use us is they build a list of domains or company LinkedIn URLs and they literally just say, hey, look, find me all the decision makers at, these companies in this CSV.

And then you tell it to hurry up.

And then in about two minutes you get 13,000 decision makers.

Now, most people, when they're enriching from domains, they'll say, give me all the CEOs, Chief Marketing Officers, VP of Sales.

And they specify this because everyone else charges per credit.

So everyone has this.

All the GTM engineers have this paranoia about spending too much money.

But we completely changed that.

We say, look, take everyone, and then once you have everyone, you can make a judgment of who to reach out to.

Because chances are, the job title you need to reach out to is going to be different at each company.

And I'll get into that later.

The other way that people use us, which is slightly more common, is for our search filters.

Now, it's actually a lot more simple than it seems.

We are just giving Claude, or whatever AI you're using access to a structured database of B2B contacts that you search in the same way that you would search an Apollo or a Zoom Info.

So with search filters.

But you'll see that building these search queries using multiple search filters, it makes a lot more sense to do it via an mcp.

So, for example, here you can see give me companies between 5 and 50 headcount in the richest countries in the world.

The Middle East, Western Europe, North America.

You can see I've not named any countries, but it explains my intent.

And then Claude is obviously smart enough to know which countries in North America, Western Europe and the Middle east.

To reach out to.

And that's something that you might not think to do if you are forced to click, you know, every single rich western European country or every country in the Middle East.

I didn't even realize so many people were doing so well targeting this group.

And then you explain you know what you're looking for.

And this is the key thing, you don't stop here, you know, guide it.

You're, you're the expert here at using, you know, lead building tools.

Say, look at all the different industries that you have.

There are over 400 and pick everyone that could be relevant.

Show me the list and count before you pull it.

Pull anything, I'll review it myself.

So if you were just doing this in Apollo or Zoom info or some other lead building lead database, you would realistically just go, you'd find the staffing recruiting industry, see that there's 500,000, be like, okay, great, we're done here.

Whereas actually now the AI, because it can just go through a list of 400 super easily and then count how many contacts are in each.

You're going to find these ones and these ones, which yes, they're smaller, but actually because less people are going to be contacting them, there's going to be a larger number of those, larger percentage of those which are going to reply.

And here this is like so interesting.

So human resource services I would never think to do because look, there's so many.

You're going to be thinking that would be so messy.

But actually you compare the industry with a keyword in their LinkedIn company description to add on another 63,000 that you otherwise wouldn't have.

Which is really interesting.

You'd never do this if you're building the lead list yourself manually.

And I think it's really worth reiterating that A, you wouldn't also do this if you didn't have unlimited data because you'd be worried about choosing the wrong people.

Whereas here we're just like, come give me everything that could be a match.

We'll use AI to filter it later.

And the second thing is the AI has looked at our documentation and it's come up with the idea of using this keyword search paired with the industry, which I think is really, really smart and not necessarily even something that I would think to do.

So look, we have a bunch of different data points here.

And then I just said export every decision maker in the top four industries.

I just thought, hey look, let's just grab these.

And again, every decision maker I'm not just saying, not trying to guess the org chart of every company.

I'm just saying give me everything and then cool.

fantastic.

Now we have 120,000 decision makers at these companies and then you can learn a little bit more about how it works.

And I'm sure there's a bunch we could do here to refine it a little bit.

But this is what I find so interesting.

Go through and choose the top five people I should be reaching out to at each one by looking at their job title, profile, headline, their about section and the size of the company.

So for each person you're taking into consideration so much more context than you would if you were just trying to guess their job title.

So you're going to end up with people who maybe they say that their head of operations but actually in their about section they mentioned that in their previous career history they worked in marketing.

So actually if you were selling some sort of marketing product that would be really useful to know their profile, headline and also the size of their company.

Again, AI is smart.

It will know that you want to have a broader range of job titles at smaller companies because so many people do like have bigger scopes compared to bigger companies where people are much more fixed into exactly what they do.

And then here, look, there you go, 100,000 people have been built.

and then you can then go through and ask the AI to check each website or check the LinkedIn company description for your specific use case if you want to be more specific.

But look, what was that?

One, two, three, three prompts to get 100,000 people.

And from here we'll be able to provide you with emails and phone numbers.

Not necessarily for all of them, but you've mapped out your target market now you've gone as wide as you can.

And then to be honest, the next thing I would say is, okay, now check each contact's website for whether they would be a good fit for my service.

And then you just put that in there and then it will, your AI will go through everything.

And again this is the thing, we are really just a plugin for your AI to make it able to build these lead lists.

All the intelligence is in here.

It's in here.

We're not providing intelligence, we're providing high quality, accurate data that your AI can easily query and that is clean.

That's, that's really our focus and giving it to an unlimited rate.

So that should help you to understand what get leads is I would definitely say re verify the emails when you export them and I'd love to hear the results that you get.

You're going to have really high quality data, unlimited of it, and you're going to be able to pull it inside your AI agents.

You're going to be able to build better lists than anyone else.