Most B2B founders waste 15-20 hours per week on lead qualification.
Either that or they are burning money on:
- SDRs or a Huge team of SDRs
- Hiring an Agency
- Hire a VA
They're either:
Manually scrolling LinkedIn for prospects
Copy-pasting into spreadsheets
Writing the same "personalized" messages over and over
Checking if emails are valid one-by-one
Praying their outreach doesn't bounce
There's a better way to think about this.
What if lead qualification could run while you sleep?
Last month, we rebuilt our entire lead generation system using AI and automation.
The result: 32 qualified appointments per month, zero manual work.
But more importantly, we learned something valuable about how modern GTM systems should work.
Here's the exact Multichannel AI Automation that we have built:
An 11-step automation that:
Pulls contacts from Apollo based on your ICP criteria
Uses AI to qualify each lead ("Is this a founder/CEO?" → Yes/No)
Filters out non-qualified contacts before spending any credits
Verifies email deliverability (no bounces, no spam traps)
Searches the web for recent company news and activity
Generates personalized first lines using AI + research
Pushes to GetSales with all context intact
Tracks everything in Google Sheets for reporting
The entire system runs 24/7 without taking breaks or making mistakes.
Why This Matters:
The average SDR costs $2,500-$4,000/month and handles ~100 qualified leads.
This system costs $200/month in tools and handles unlimited leads.
But more importantly, it never gets tired, never has a bad day, and never forgets to follow up.
The future of GTM isn't replacing humans entirely. It's using AI to handle the repetitive qualification work so humans can focus on the conversations that actually matter.
The Key Insight We Learned:
Most people try to automate everything at once and end up with brittle systems that break constantly.
Better approach: Layer filters strategically.
We process leads through 3 qualification gates:
AI ICP filter first (cheap, fast, eliminates 60% immediately)
Email verification second (only verify qualified leads, saves credits)
Deliverability filter third (only personalize deliverable emails)
This order matters. It's the difference between spending $500/month on verification credits versus $50/month.
The Tools We Used (affiliate links):
Data Layer:
AI Orchestration Layer:
Make AI Toolkit - ICP qualification
Make AI Web Search - Prospect research
Make AI Toolkit - Message personalization
Outbound Execution Layer:
GetSales - LinkedIn + Cold Email automation
Google Sheets - Reporting & tracking
Total tool cost: ~$200/month
Common Questions:
Q: Can I use different tools (Instantly, HeyReach, etc.)?
Yes. The core logic stays the same. Just swap the final HTTP module endpoint.
Q: How many Make.com operations does this use?
~500-800 operations per month, depending on list size. Fits in the free tier if you're testing.
Q: What's the biggest mistake people make?
Not filtering early enough. They verify and personalize everyone, then realize most leads weren't qualified. Wastes money and time.
Q: Does this work for all industries?
Works best for B2B service businesses, agencies, and SaaS selling to other businesses. Less effective for B2C or transactional sales.
Want to Build This Yourself?
We documented the entire process. You have two options
Option 1: DIY Package ($97)
Get the Make.com JSON file + step-by-step SOP + video tutorial
→ Here’s the payment link (Once you make the payment, you will get an email in a max of 1-2 hours with the delivery of the files)
Option 2: Done-For-You ($2,997 $1,500 setup)
We build, optimize, and maintain it for your business
→ Book a strategy call to learn more
→ Subscribe to our package directly here
Trust me, investing in a solution like this means saving thousands of dollars and hundreds of man-hours on a broken manual outreach process that AI can do a lot better.
What We're Working On Next:
We're adding:
Multi-channel orchestration (LinkedIn + Email + Voice AI)
Intent signal tracking (job changes, funding, hiring) without using Clay
Response classification (interested vs not interested)
I'll share the breakdown in a future newsletter once we have it working reliably.
Questions about building this? Reply to this email. I read every response.
— Ankit Modi
Founder, Six Figure Consulting
[email protected]