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AI Lead Generation Agency: How to Build and Scale

An AI lead generation agency finds, qualifies, and delivers sales-ready leads to B2B companies — at 10x the scale of traditional manual prospecting. Using Apollo.io, Clearbit, Claude, and Make.com, you can build automated lead generation systems that run 24/7 and charge clients $2,000–$10,000/month for the results.

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MJK Supplies · Jun 14, 2026 · 12 min read
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AI Lead Generation Agency: How to Build and Scale

The AI Lead Gen Opportunity

Every B2B company needs leads. Traditional lead generation is:

  • Expensive (SDRs cost $60k-80k/year)
  • Slow (manual research, manual outreach)
  • Inconsistent (quality depends on the person, not the system)

AI changes all three. An AI lead generation agency delivers:

  • Speed: Research and personalised outreach drafted in seconds
  • Scale: 500-2,000 personalised emails per week vs 50-100 for a human
  • Consistency: Every lead gets the same research quality and outreach quality

Target clients: B2B SaaS companies, professional services, business coaches, consultants — anyone selling B2B with a defined ICP (ideal customer profile).

Core Service: The Lead Gen Stack

The four components every AI lead gen system needs:

1. Lead sourcing: Apollo.io — search by industry, company size, title, technology used, geography. Export 500-2,000 matching leads. Alternatively: LinkedIn Sales Navigator, Lusha, Hunter.io.

2. Lead enrichment: Clearbit API — add company funding stage, tech stack, employee count, revenue estimate, recent news. This gives Claude the context for personalisation.

3. AI personalisation: Claude API — write personalised first lines and email bodies using enrichment data.

System: You are an expert B2B copywriter. Write personalised cold emails that are specific, brief (under 120 words), and conversational. User: Write a cold email for this prospect: Company: {{company_name}} Role: {{title}} Recent news: {{clearbit_news}} Tech stack: {{tech_stack}} Pain point we solve: {{client_value_prop}} Offer: {{CTA}}

4. Outreach: Send via Gmail/Outlook (with warm-up) or dedicated cold email tool (Instantly, Smartlead) for higher volume.

Make.com Lead Gen Automation

Scenario: From Apollo export to sent email

  1. Airtable trigger: New row added (paste Apollo CSV into Airtable)
  2. HTTP (Clearbit): Enrich each lead
  3. HTTP (Claude): Generate personalised email
  4. HTTP (Instantly.ai): Add to sending campaign
  5. Airtable: Update row — email_sent = true, date sent

Scenario: Reply handling

  1. Gmail trigger: new email reply to campaign
  2. Claude: classify reply (interested / not interested / out of office / referral / unsubscribe)
  3. Router: interested → HubSpot create deal + Slack alert; not interested → update Airtable; unsubscribe → remove from future sends

Service Tiers

Starter ($1,500-2,500/month):

  • 500 leads/month sourced and enriched
  • Personalised email campaign
  • Reply handling and handoff to client
  • Monthly performance report

Growth ($3,000-5,000/month):

  • 1,000-2,000 leads/month
  • Multi-step email sequence (3-4 emails)
  • LinkedIn outreach sequence (manual or semi-automated)
  • Weekly strategy call
  • A/B testing messaging

Scale ($6,000-12,000/month):

  • 2,000-5,000 leads/month
  • Full multi-channel (email + LinkedIn + cold calling via Vapi)
  • Dedicated SDR support
  • ICP refinement and targeting optimisation

Pricing the ROI Conversation

How to price using client ROI:

If the client closes 1 in 20 leads, and each deal is worth $10,000:

  • 1,000 leads → 50 booked meetings → 2-5 deals → $20,000-50,000 revenue
  • Your service: $3,000/month
  • ROI: $17,000-47,000 net in month one

Almost every B2B company will pay $3,000 for the potential to get 2-5 deals worth $10,000 each.

Finding and Closing Clients

Meta: Use your own lead gen system to find clients Your best demo is using your own system to reach potential clients. Build a campaign targeting:

  • B2B SaaS with 10-100 employees
  • "We have no SDRs" or "just hired first sales rep"
  • Recent funding (they're ready to invest in sales)

Direct demo: Pull 20 leads from their ideal customer profile. Write them with Claude. Show the prospect these exact emails before they've agreed to work with you. "These are what I'd send to your ideal customers."

LinkedIn content: Post open examples of your AI personalisation in action. Prospects love seeing before/after.

Quality and Ethics

Deliverability: High-volume cold email gets emails caught in spam if done wrong. Use:

  • Warm-up tools (Instantly, Mailreach)
  • Custom domain + SPF/DKIM/DMARC
  • Low daily send volume per inbox (30-50)

List hygiene: Verify email addresses (ZeroBounce, NeverBounce) before sending. Bounce rate > 5% hurts deliverability.

Unsubscribes: Always include opt-out language. Remove unsubscribes immediately.

Spam regulations: CAN-SPAM (US), GDPR (EU), CASL (Canada) all apply. Know the rules before sending to each geography.

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#ai-business#lead-generation#agency

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