How to Build an AI Lead Enrichment Tool

Lead enrichment is the process of enhancing raw lead data with additional information to improve targeting and personalization. AI makes this process dramatically faster by automatically researching and enriching leads with company data, social profiles, and technographic information.

In this guide, we will build an AI-powered lead enrichment dashboard using Next.js and OpenAI.

The Enrichment Flow

1. User inputs a company name or URL

2. AI searches for and extracts company information

3. The system identifies technologies used, funding history, and social profiles

4. Data is presented in a structured format with confidence scores

Building the Enrichment API

import { NextRequest, NextResponse } from 'next/server'
import OpenAI from 'openai'

const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY })

export async function POST(req: NextRequest) {
  const { company } = await req.json()

  const completion = await openai.chat.completions.create({
    model: 'gpt-4o',
    messages: [
      {
        role: 'system',
        content: 'You are a B2B lead enrichment specialist. Given a company name, return structured JSON with company info, tech stack, funding, and social profiles.',
      },
      {
        role: 'user',
        content: `Enrich this company: ${company}`,
      },
    ],
    response_format: { type: 'json_object' },
  })

  const data = JSON.parse(completion.choices[0].message.content || '{}')
  return NextResponse.json({
    name: data.name,
    website: data.website,
    industry: data.industry,
    size: data.employeeCount,
    location: data.headquarters,
    technologies: data.techStack || [],
    funding: data.funding,
    social: data.socialProfiles,
    confidence: data.confidenceScore,
  })
}

Enriched Lead Display Component

function EnrichedLeadCard({ lead }: { lead: EnrichedLead }) {
  return (
    <div className="rounded-xl bg-gray-900 p-6 space-y-4">
      <div className="flex items-start justify-between">
        <div>
          <h3 className="text-lg font-bold text-white">{lead.name}</h3>
          <p className="text-sm text-gray-400">{lead.industry} &middot; {lead.size} employees</p>
          <p className="text-sm text-gray-500">{lead.location}</p>
        </div>
        <div className="text-right">
          <span className="text-sm text-gray-400">Confidence</span>
          <p className="text-lg font-bold text-brand-400">{lead.confidence}%</p>
        </div>
      </div>

      <div>
        <h4 className="text-sm font-semibold text-white mb-2">Tech Stack</h4>
        <div className="flex flex-wrap gap-1.5">
          {lead.technologies.map((tech: string) => (
            <span key={tech} className="rounded-full bg-gray-800 px-2.5 py-1 text-xs text-gray-300">{tech}</span>
          ))}
        </div>
      </div>

      {lead.funding && (
        <div className="rounded-lg bg-gray-800 p-3">
          <p className="text-sm text-gray-400">Funding: <span className="text-white font-semibold">{lead.funding.total}</span></p>
          <p className="text-xs text-gray-500">Latest round: {lead.funding.latestRound} ({lead.funding.date})</p>
        </div>
      )}

      <div className="flex gap-2">
        {lead.social?.linkedin && <span className="text-xs text-brand-400">LinkedIn</span>}
        {lead.social?.twitter && <span className="text-xs text-brand-400">Twitter</span>}
        {lead.social?.crunchbase && <span className="text-xs text-brand-400">Crunchbase</span>}
      </div>
    </div>
  )
}

Cross-Selling: Deploy Your Lead Enrichment Platform

Our AI Lead Enrichment template provides a complete, production-ready implementation with lead enrichment, company data research, social profiling, tech stack detection, and CRM export. It is perfect for sales teams and B2B platforms.

Combine with AI Content Repurposer to create personalized outreach, or Email Campaign Manager to automate lead nurturing sequences. The AI Sales Engine bundle combines all three.