The average website converts at 2.35%. Our AI-powered landing pages convert at 47%. That's not a typo. When you combine a hyper-personalized chatbot with smart lead capture and instant response times, magic happens.
The Architecture
Every AI clone we build follows the same battle-tested architecture. It's simple, fast, and scary effective.
The Flow
- Visitor lands โ Chat widget appears with personalized greeting
- Conversation starts โ AI responds in <2 seconds with context-aware answers
- Lead qualifies โ AI asks smart questions, captures contact info naturally
- Data syncs โ Lead goes to CRM, team gets Slack notification instantly
- Follow-up triggers โ Automated email sequence starts within 60 seconds
Training on Custom Knowledge
The secret sauce isn't the AIโit's what you feed it. Every chatbot we build is trained on a custom knowledge base built from:
What Goes Into a Knowledge Base
- Company docs โ About us, services, pricing, processes
- Sales scripts โ Objection handling, closing techniques, value props
- FAQ database โ Every question customers have ever asked
- Competitor intel โ Why you're better, differentiation points
- Personality guide โ Tone, voice, brand guidelines
{
"company": {
"name": "PropTechUSA",
"tagline": "Enterprise AI for Everyone",
"tone": "Professional but friendly, direct, no BS"
},
"products": [
{ "name": "AI Landing Pages", "price": 999 },
{ "name": "Battle Cards", "price": 1999 },
{ "name": "SaaS Platform", "price": 25000 }
],
"objections": {
"too_expensive": "Compare to hiring: $5K/mo for one dev...",
"not_ready": "We offer a free consultation first...",
"need_to_think": "What questions can I answer right now?"
}
}
The Conversion Funnel
Here's where the magic happens. Traditional chatbots wait for questions. Ours drive conversations toward conversion.
The Technical Stack
export default {
async fetch(request, env) {
const { message, sessionId } = await request.json();
// Load conversation history from KV
const history = await env.SESSIONS.get(sessionId, 'json') || [];
// Load custom knowledge base
const knowledge = await env.KNOWLEDGE.get('base', 'json');
// Call Claude with context
const response = await callClaude({
system: buildSystemPrompt(knowledge),
messages: [...history, { role: 'user', content: message }]
});
// Detect if lead info was captured
if (detectLeadInfo(message)) {
await notifySlack(env.SLACK_WEBHOOK, { message, sessionId });
}
return Response.json({ response });
}
}
Why Cloudflare Workers?
- <50ms latency โ Runs at the edge, closest to your users
- Zero cold starts โ Always warm, always fast
- $5/month โ For millions of requests
- Built-in KV โ Session storage without a database
Lead Capture Integration
When the AI captures a lead, three things happen simultaneously:
async function captureLead(lead, env) {
await Promise.all([
// 1. Save to CRM
fetch('https://crm.workers.dev', {
method: 'POST',
body: JSON.stringify(lead)
}),
// 2. Notify team on Slack
fetch(env.SLACK_WEBHOOK, {
method: 'POST',
body: JSON.stringify({
text: `๐ฅ New lead: ${lead.name} - ${lead.email}`
})
}),
// 3. Trigger email sequence
fetch('https://email.workers.dev/sequence', {
method: 'POST',
body: JSON.stringify({ email: lead.email, sequence: 'welcome' })
})
]);
}
Real Results
Here's what happened when we deployed an AI clone for a real estate investment company:
- Before: 12 leads/month from website
- After: 47 leads/month (340% increase)
- Response time: 4+ hours โ <2 seconds
- After-hours leads: 0 โ 31% of total
- Cost per lead: $127 โ $34
Build Your Own
Every AI landing page we build includes:
- Custom knowledge base training (your docs, your voice)
- Claude-powered chatbot with conversation memory
- Lead capture with smart qualification questions
- Slack notifications in real-time
- CRM integration (any platform)
- Email sequence triggers
- Custom domain + SSL
- 7-day delivery