Lead Generation

Your AI agent finds, enriches, scores, and delivers qualified leads to your CRM -- while you focus on closing deals.

Your agent finds, enriches, and delivers qualified leads on autopilot

[ 01 /06 ]Context//The Problem//

The lead gen problem for founders

You need leads. Not "traffic" or "brand awareness" -- actual human beings who might buy your product. But building a lead generation engine as an early-stage founder is brutal.

--Manual prospecting eats hours: searching LinkedIn, cross-referencing company data, finding email addresses, checking if they're even a fit

--Data quality is a nightmare: half the emails bounce, phone numbers are wrong, people changed jobs 6 months ago

--Your CRM is empty (or full of garbage data you never clean)

--Lead scoring doesn't exist -- every lead gets the same attention, whether they're a perfect fit or a complete mismatch

--Outreach is inconsistent -- you do it in bursts when you remember, then forget for two weeks

You've tried lead gen tools. Apollo. ZoomInfo. Lusha. Each one adds another subscription, another dashboard, another tab to manage. None of them talk to your CRM properly. None of them integrate with the AI agent you actually use.

What if your AI agent could do the entire pipeline -- find, enrich, score, and deliver leads -- through a single conversation?

[ 02 /06 ]Capabilities//What We Build//

Six core capabilities. One conversation.

We create a custom MCP server that gives your AI agent direct access to lead generation, enrichment, and CRM tools. Describe your ideal customer, and your agent builds the list.

[ 01/06 ]

LinkedIn Lead Scraping by ICP

Define your ideal customer profile once. Your agent finds matching leads on LinkedIn continuously.

Define your ICP: job titles, industries, company sizes, geographies, technologies, and more

Your agent searches LinkedIn and Sales Navigator for matching profiles

Results are deduplicated, validated, and organized

New leads are identified as they appear -- your agent keeps looking, not just once

Filter criteria available:

Job title and seniority levelCompany size and employee countIndustry and verticalGeography and locationTechnology stackFunding stage and revenue rangeRecent activity (job changes, posts, company news)

[ 02/06 ]

Lead Enrichment

A name and a LinkedIn URL isn't enough. Your agent enriches every lead with verified, actionable data.

Verified work email address

Phone number (direct and mobile where available)

Full company profile (size, revenue, funding, tech stack)

Social media profiles (Twitter/X, personal website, GitHub)

Recent company news and press mentions

Job history and tenure

Mutual connections and warm introduction paths

[ 03/06 ]

CRM Integration

Leads that live in spreadsheets die in spreadsheets. Your agent pushes qualified leads directly into your CRM, formatted and tagged correctly.

Leads are created with full contact and company data

Custom fields are populated based on your CRM structure

Tags and pipeline stages are applied automatically

Duplicate detection prevents messy data

Activity logging tracks when leads were found and enriched

Supported CRMs:

HubSpotSalesforcePipedriveCloseAttioNotion

[ 04/06 ]

Email List Building

Targeted outreach requires targeted lists. Your agent compiles verified email lists based on any criteria you define.

Build lists by ICP, event attendance, content engagement, or any custom criteria

Verify every email address before adding to the list

Segment lists by engagement potential, company size, or priority

Export in any format (CSV, direct to email tool, direct to CRM)

Maintain list hygiene -- remove bounced addresses, update changed emails

[ 05/06 ]

Lookalike Audience Discovery

Your best customers have something in common. Your agent finds more people just like them.

Analyze your current customers or best leads to identify patterns

Surface shared characteristics: industry, company size, tech stack, growth stage, hiring patterns

Search for new leads who match the same profile

Score new leads by similarity to your best existing customers

Continuously refine the model as you close more deals

[ 06/06 ]

Lead Scoring

Not all leads are created equal. Your agent scores and prioritizes so you focus on the ones most likely to convert.

Fit score -- how closely does the lead match your ICP?

Intent signals -- website visits, content engagement, buying behavior

Timing signals -- recent job change, company funding, tech stack change

Engagement history -- opened emails, clicked links, responded to outreach

Company health -- growing, hiring, recently funded

[ 03 /06 ]Impact//The Pipeline Math//

The pipeline math

Activity

Manual Effort

With Kaizn

Finding 100 ICP-matched leads

8-12 hours

10 minutes

Enriching with verified data

4-6 hours

Automatic

Pushing to CRM with proper tagging

2-3 hours

Automatic

Scoring and prioritizing

1-2 hours

Automatic

Total weekly time investment

15-23 hours

10 minutes

15-23 HOURS / WEEK SAVED

That's 15-23 hours back every week. What would you do with an extra 3 work days?

[ 04 /06 ]In Practice//What It Looks Like//

A real week of lead generation

Handled entirely through conversation with your AI agent.

lead-generation-agent

I need 100 new leads this week. Focus on Head of Growth and VP of Marketing at B2B SaaS companies, Series A to B, 30-150 employees, in the US. Enrich them, score them, and push the top 30 to HubSpot.

On it. Searching LinkedIn and Sales Navigator now with your criteria:

- Titles: Head of Growth, VP Marketing
- Company: B2B SaaS, 30-150 employees
- Funding: Series A-B
- Geo: United States

I'll enrich all matches, score against your ICP, and push the top 30 to HubSpot. Running now...

How's the search going?

Found 127 matching leads. Enriched all 127. Scored them based on your ICP and intent signals.

Top 30 are in HubSpot, tagged 'Week 11 Outreach', in the 'New Lead' stage.

Highest-scoring lead: Sarah Kim, VP Marketing at DataFlow (Series B, 89 employees, recently launched a new product).

Want me to draft a personalized outreach sequence for the top 10?

Yes, draft outreach for the top 10.

Personalized emails drafted for the top 10 leads. Each one references:
- Their company and recent news
- A specific pain point relevant to their role
- How our product addresses it

Ready for review, or should I send them?

Send them. Give me the Friday report.

Outreach sent. Weekly report:

- 127 leads found
- 30 pushed to CRM
- Outreach sent to top 10
- 4 replied
- 2 demos booked
- Pipeline value added this week: $45,000

Total time you spent on lead gen this week: 10 minutes.

Total time spent on lead gen this week: 10 minutes.

Pipeline value added: $45,000

[ 05 /06 ]Integrations//Your Stack//

Connects to your stack

Your MCP server connects your AI agent to the tools that make lead gen work. We connect to what you already use. No rip-and-replace.

Data Sources

LinkedIn, Sales Navigator, Apollo, ZoomInfo, Clearbit, Hunter

CRMs

HubSpot, Salesforce, Pipedrive, Close, Attio, Notion

Email Tools

Instantly, Lemlist, Mailchimp, Resend, SendGrid

Enrichment APIs

Clearbit, FullContact, People Data Labs, Proxycurl

[ 06 /06 ]Get Started//Fill Your Pipeline//

Ready to fill your pipeline on autopilot?

SCRAPINGENRICHMENTCRMEMAIL LISTSLOOKALIKESSCORING

Book your free consultation. We'll discuss your ICP, your current lead gen process, and build an MCP server that turns your AI agent into a full-time lead generation machine.

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Services

Custom MCP Servers AI Marketing Automation Integration Setup Consulting

Use Cases

LinkedIn Campaigns Content Pipeline Video Generation Lead Generation

Resources

How It Works FAQ Blog

Company

About Book Consultation Contact

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