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Best AI Agent Strategy for LinkedIn Lead Generation in 2026

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Best AI Agent Strategy for LinkedIn Lead Generation in 2026

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249 segments

0:00

The best leads that you can get on the

0:01

internet right now for your business are

0:03

coming from LinkedIn post engagers. What

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do I mean by that? It's people who

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comment and like LinkedIn posts. Those

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people you go and extract them, you get

0:13

their LinkedIn profile URLs, you go do

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DMs to them, or you go and cold email

0:17

them by doing an enrichment from that

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LinkedIn profile URL. And the reason

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that these leads are so good is because

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they are hand-raising the type of thing

0:27

that they're interested in. By engaging

0:28

with that piece of content, signaling to

0:31

you that they are your target customer.

0:32

To give a really concrete example of

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what I mean, imagine somebody does a

0:36

post that's about AI search. The people

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that engage with that post, that like

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that post, that comment on that post,

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they are signaling that they have an

0:43

interest in AI search. So, if you sell a

0:45

software that's for AI search

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visibility, these people are the exact

0:49

people that you want to sell to. And in

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this video, I'm going to teach you how

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do you extract those engagers from those

0:55

posts, how do you find their emails, how

0:56

do you do cold DMs to them, and how do

0:58

you cold email them. you're new here,

1:00

I'm Cody Schneider. I am the co-founder

1:02

of a company called graph.com, and I've

1:04

been doing digital marketing for the

1:05

last 15 years of my career. And if you

1:07

like content like this that talks about

1:09

AI for marketing or AI for go-to-market,

1:11

or what people are starting to call

1:12

go-to-market engineering or marketing

1:14

engineering, subscribe to this channel.

1:16

I do new videos every week. And with

1:17

that said, let's get into today's video.

1:19

All right, so first off, why should you

1:21

even care about this? Why should you try

1:23

the strategy? This is why you should do

1:25

that. It's because you can create

1:26

outcomes like this. So, this is a

1:27

company that we've been doing this for.

1:29

We have built out this engine that

1:31

basically scrapes influencers. We then

1:34

take those people, and we do a

1:35

connection request to them. We send the

1:37

initial messages, and then we get

1:39

positive replies. We created 190 leads

1:41

since we launched this strategy for

1:43

them. This is about 4 months ago. And in

1:44

the last 3 months, we've created 127

1:47

leads from this. And uh in the last 4

1:49

weeks alone, we created 44 leads from

1:52

this. So, this is the reasoning of why

1:54

you should do this. It's because you can

1:56

build this pipeline both on LinkedIn and

1:59

on cold email. You're going to hit them

2:00

in both of these places with the offer

2:03

that you have for your business. Now,

2:04

just to begin, I want to diagram this

2:06

real quick to show you what I mean by

2:08

the system that we're about to create so

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that you can create these same outcomes.

2:12

So, this is the structure of the system

2:13

that we're going to create today. We're

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basically going to find profiles that we

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are going to go and monitor on a daily

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basis. We're going to have what's called

2:21

a cron job run so that it extracts net

2:24

new posts and also extracts the engagers

2:27

from those new posts. And then those

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leads are going to go into a database.

2:33

And then from that database, we're going

2:35

to enrich those leads. And what do I

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mean by enrich those leads? It's

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basically finding the emails and the

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phone numbers, anything else that we

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could imagine to basically qualify the

2:47

lead and also find the contact

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information that we're trying to use to

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go into an outbound motion. And then the

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final piece is then direct those leads

2:54

to two different places. We're going to

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do LinkedIn DMs and then we're also

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going to go and do cold email. And

2:59

that's the whole system. So, it's

3:00

profiles. We save them all to a

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database. This is what's called TAM

3:03

mapping or basically what that means is

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total addressable market mapping. We're

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trying to find all the people that we

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could potentially sell to in the market

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that we're going after. And that's what

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that database actually ends up being.

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LinkedIn profile URLs. We can then go

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and find the cold emails and the phone

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numbers. And don't worry, I'm going to

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show you how to do everything that I'm

3:20

describing here. It's way simpler than

3:22

you think. All right. So, now you know

3:23

the reason why. Let's walk through the

3:25

process of how this actually functions,

3:26

okay? So, this is just literally the

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first LinkedIn post that came up in my

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feed. And all of these people that

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engaged, that is who I'm want to go and

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try and extract. You can see all of

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these people here. And I could do this

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manually. But instead, what you can go

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do is use something like Appify. And

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Appify enables you to extract the

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LinkedIn post engagers like likes and

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comments. And there's tons of these data

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providers here. The one that we like is

3:47

called AppMaestro. We found that

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provider's quality to be super high. And

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so, what you basically are doing is

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you're providing the URL of this post.

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You're taking that, and then you're

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giving that to this scraper. And then,

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once you've done that, you can extract

4:01

all of those individuals. And then,

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those individuals, a couple things will

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happen after that. Then, you'll do a

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waterfall enrichment to go and find the

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emails of those individuals. An example

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of an enrichment would be using a

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company called Get Leads, and then going

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to find email, and then going to Apollo.

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And then, from that, you're basically

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cascading through those providers to get

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the email. And some providers don't have

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all emails, and so this is the way that

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you can basically go provider one, if

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email, then don't go to the next ones.

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If no email, move down the chain. And

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everything that I just described, you

4:29

can have your Claude code or your Codex

4:31

or your Cursor, whatever your daily

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driver is, do this entire strategy. You

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have to pay for the Appify. You need to

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make a database to store all this

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information. And then, you need to use

4:40

those data providers. But with that, you

4:42

can go and do this. And then, the final

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piece you need to do to actually send

4:45

these cold emails and send these

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LinkedIn DMs is first, you need to

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validate the emails with something like

4:50

Million Verifier. And then, you'll send

4:51

those cold emails through something like

4:53

Instantly.ai, or you'll send them

4:54

through something like HeyReach.io. And

4:56

links to all these are in the

4:57

description below. And again, this whole

4:59

pipeline that I just described, you can

5:00

have your Claude code or your Codex wire

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this all together, and have this be an

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automation where you start your day,

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basically it goes, or you can go and

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deploy this to a server. But this is how

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you can manually start this process

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today, literally in the next couple of

5:11

hours. But if you don't want to do that

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whole first part of the listening and

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then extraction process manually using

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your Claude code or have to deploy that

5:19

in the cloud, you can use this tool

5:20

called Post Engagers. So, let me show

5:22

you that. Again, you can take a post

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URL, go to postengagers.com,

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and then I'm going to drop in a specific

5:28

post URL to scrape, and it's going to

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start extracting the people that engaged

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with that post. And then, it's going to

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give me the emails of those people as

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well. And while that's working in the

5:37

background, I can also set up the actual

5:40

listening for a profile. So again, I

5:42

could go to this person's profile, I

5:44

could drop it in here, and it's going to

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watch that account for all new posts,

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and then extract out all of the people

5:50

from those posts that engaged with them

5:53

continuously. And then all of that data,

5:55

that becomes accessible from either a

5:57

webhook, so you can push it somewhere,

5:58

for example, into Instantly or into a

6:00

CRM, or there's an API key so that you

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can go and interact with this data using

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a coding harness again like Claude Coder

6:06

or Codex. So, let's go back to that job,

6:08

and we can see this here. It extracted

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all of these people, it found these

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emails, and the data's up here. 42

6:14

unique pulled, 13 emails found, and I

6:16

can export that as a CSV, or again,

6:18

access that through the webhooks. And

6:20

then the final piece of this that I'm

6:21

going to leave you with so that you

6:22

could entirely automate this system. You

6:24

could have it where it's literally

6:26

getting you new leads, doing the

6:27

outbound, and then also managing that

6:30

inbox. So, all the infrastructure I

6:31

talked about today, for example,

6:33

HeyReach and Instantly, they have

6:35

webhooks and APIs to be able to manage

6:38

the inboxes. So, you can hook up an

6:40

agent, and what is an agent? This could

6:41

be just software with a thinking loop.

6:43

This could be a Kermit agent hosted in

6:45

the cloud, or a Grok bot. Doesn't really

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matter, but that agent has some type of

6:49

goal that is trying to get an outcome

6:51

from. And then it's going and managing

6:53

that inbox to get that goal. Basically,

6:55

to book time on your calendar, or

6:57

whatever that next step is from an offer

6:59

standpoint that you're trying to get to

7:01

happen with that lead. And if you just

7:02

watched this whole video, and you're

7:03

like, "Okay, this sounds amazing, but I

7:05

don't want to go build this for myself."

7:06

You can work with my company called

7:08

graft.com. We deployed these exact

7:10

agents that I am talking about today,

7:12

these exact systems that I described

7:14

today for our clients. Clients that

7:16

include 300-person software companies,

7:18

AI startups, B2B manufacturing

7:21

companies, and prosumer companies. And

7:23

along with this outbound agent, we can

7:25

also do Facebook Ads agents, Google Ads

7:27

agents, SEO agents, and really anything

7:30

else in your go-to-market stack. And if

7:31

you want to get started now, go to

7:33

graft.com, or click the link in the

7:34

description, and schedule a discovery

7:36

call. And if you want more videos like

7:38

this showing you how to do AI for

7:40

marketing or AI for go-to-market,

7:42

subscribe to this channel. I drop new

7:44

videos every week. Thanks for watching.

Interactive Summary

This video outlines a powerful lead generation strategy focused on extracting and targeting individuals who engage with specific LinkedIn posts. By monitoring industry-relevant profiles and automating the extraction, enrichment, and outreach process, businesses can create a consistent pipeline of highly qualified leads. The speaker demonstrates how to build this system using various tools or by utilizing a specialized platform called Post Engagers to streamline the workflow from data collection to automated outreach.

Suggested questions

4 ready-made prompts