Acquisition channels powered by AI agents.
Lead generation in 2026 is about which channel you can own AND scale with AI as the operator. The AI Lead Generation collection covers the acquisition side: the Lead Pipeline System (the full architecture for moving leads from cold contact to closed deal with AI handling 80% of the touch), AI Voice Agents (the inbound + outbound voice stack that doesn't sound like a robot), and AI Cold Calling (the outbound voice playbook with the exact scripts and call flows that convert). For the data layer — scraping, databases, CRM APIs, sales-team training — see the AI Lead Generation & Data collection.
Free guide → email capture → email sequence → paid offer. The funnel that prints leads.
The 14,000-lead pipeline blueprint Allen used to seed a real production marketplace — from scrape to call.
Scrape, enrich, and qualify 10k+ leads in a weekend. SerpAPI + Firecrawl + Claude Haiku.
Build AI voice agents for inbound + outbound calls. Vapi, Retell, Deepgram, ElevenLabs.
Voice agents that book real meetings. ElevenLabs + Twilio + Claude, end to end.
For the first 2-3 touches in a multi-touch pipeline, yes. The voice quality is past the uncanny valley for short conversational calls. The AI Voice Agents course covers exactly where AI voice wins (qualification, follow-up, appointment-setting) vs where you still need humans (negotiation, complex objections).
Lead Generation = the acquisition channels (cold email, voice, pipeline architecture). Lead Generation & Data = the infrastructure layer (databases, scraping, CRM API integration, sales training). Most operators need both eventually.
The full architecture for stage-gating a lead from cold to closed with AI agents handling enrichment, scoring, multi-touch sequencing, and CRM hygiene. Built around Supabase + a Claude orchestration layer; works with any downstream CRM.