$67
I want this!

AI Lead Researcher for Real Estate — Automated Job, Income & Neighborhood Reports in Seconds

$67

What if you knew your lead's salary, job title, and neighborhood — before you ever picked up the phone?

Most agents spend 15–20 minutes manually Googling every lead. Checking LinkedIn. Looking up the neighborhood on Zillow. Guessing their budget.

This system does all of that in 15 seconds. Automatically.

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Here's What You Get

A ready-to-import automation workflow (n8n) that instantly researches any lead

A 40+ page step-by-step setup guide written for non-technical people — no coding, no guessing

Full integration guides for WordPress forms, Google Forms, and HubSpot CRM

✅ Lifetime access — buy once, use forever

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What the System Produces for Each Lead

When you enter a lead's name, email, and address, the system automatically:

🔍 Finds their job — title, company, industry, seniority level, and LinkedIn profile (via Apollo.io)

💰 Estimates their income — salary range, total compensation, and how it compares to the area median

🏘️ Analyzes their neighborhood — median home values, household income, education levels, and growth trends (via U.S. Census data)

📊 Scores the lead 0–100 — weighted across income, neighborhood, seniority, and data quality

📋 Writes a custom outreach strategy — best channel, talking points, timing, and likely real estate needs

All of this lands in your Google Sheet automatically. Hot leads (score 70+) trigger an instant email alert.

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How It Works (The Simple Version)

Lead enters your form → 3 data sources queried simultaneously → AI analyzes everything → Scored report delivered

The 3 data sources:

1. Apollo.io — job title, company, industry, seniority, LinkedIn

2. Google Maps Geocoding — coordinates, neighborhood, formatted address

3. U.S. Census Bureau — median income, home values, education %, population

The AI brain (GPT-4o-mini) takes all three data streams, cross-references them, and produces a structured intelligence report with scoring and outreach recommendations.

Total time per lead: ~15 seconds.

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Who This Is For

- Solo agents who want to prioritize the right leads and stop wasting time on dead ends

- Team leads who want every agent walking into calls fully prepared

- Brokerages that want a competitive edge with data-driven prospecting

- Investor-focused agents who need quick neighborhood and income analysis

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What's Inside the Setup Guide

The 40+ page guide walks you through everything:

| Chapter | What You'll Set Up |

|---------|-------------------|

| Step 1 | Install n8n (your automation engine) — cloud or self-hosted |

| Step 2 | Apollo.io account + API key (with paid plan guidance) |

| Step 3 | Google Maps Geocoding API (free $200/mo credit) |

| Step 4 | U.S. Census Bureau API (completely free) |

| Step 5 | OpenAI API (the AI brain — pre-configured for GPT-4o-mini) |

| Step 6 | Google Sheets database (with full column mapping) |

| Step 7 | Email alerts for hot leads (optional) |

| Step 8 | Testing your workflow end-to-end |

| Step 9 | Connecting to WordPress, Google Forms, or HubSpot |

Plus: Troubleshooting tables, FAQ, Quick Reference Card, and Monthly Maintenance Checklist.

Every step includes screenshots-level detail. If you can follow a recipe, you can set this up.

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Monthly Running Cost

| Volume | Total Cost |

|--------|-----------|

| 50 leads/month | ~$49–70/mo |

| 200 leads/month | ~$51–73/mo |

| 500 leads/month | ~$54–79/mo |

The biggest cost is Apollo.io ($49/mo for 5,000 lookups). OpenAI costs roughly $0.01–0.03 per lead with GPT-4o-mini. Google Maps and Census APIs are free.

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The ROI Math

If this system helps you close just ONE additional deal per year because you walked into the call prepared, prioritized the right lead, or said the right thing — it pays for itself 100x over.

Most agents report that knowing a lead's job, income range, and neighborhood quality before the first conversation dramatically changes the dynamic.

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What You're Getting

📦 File 1: real-estate-lead-researcher-v4.json — The complete n8n workflow, ready to import

📦 File 2: AI-Lead-Researcher-Setup-Guide.pdf — 40+ page guide with every step explained

One purchase. Lifetime access. No subscriptions to us — ever.

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Frequently Asked Questions

Do I need to know how to code?

No. The workflow is pre-built. The guide walks you through every click. If you can copy-paste an API key, you can set this up.

Does this work outside the U.S.?

The job enrichment and AI analysis work globally. Only the Census neighborhood data is U.S.-specific. International leads still get job data, income estimates, and AI scoring.

Is this legal?

Yes. All data comes from public, commercial APIs — Apollo (public professional data), Google Maps (standard geocoding), Census Bureau (public government data), and OpenAI.

What if Apollo doesn't find my lead?

Apollo has 270M+ contacts but won't find everyone. When it doesn't, the workflow continues gracefully — the AI adjusts its analysis using available data and the lead still gets scored.

Can I customize the scoring?

Absolutely. The scoring logic lives in a prompt you can edit. Want to weight income higher? Prefer certain industries? Just update the text in the AI node.

What CRMs does this work with?

The guide covers HubSpot in detail. The webhook-based architecture also works with Salesforce, Pipedrive, Follow Up Boss, and any CRM that supports webhooks or Zapier.

I want this!

Stop guessing. Start knowing. This plug-and-play n8n automation researches every lead's job title, salary range, and neighborhood quality — in 15 seconds flat. Just enter a name and address, and get a scored report with outreach strategy. No coding required.

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