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🔍 Automated Lead Generation & Prospecting

AI Lead Generation Automation (Google Maps)

🎯 Objective & Business Impact

Google Maps holds a huge, constantly-updating pool of businesses that match almost any target profile — but manually searching, scrolling through results, and copy-pasting contact details out one by one doesn't scale past a handful of leads a day. Most teams end up either buying generic, unqualified lead lists that need re-cleaning, or burning hours on manual research that a system could run continuously in the background. This AI Lead Generation Automation scans Google Maps against your defined target criteria — location, category, and other filters — pulls verified contact details automatically, and delivers a running, qualified feed straight into your CRM or spreadsheet, so your pipeline fills itself instead of depending on someone's research hours.

🛠️ Required Tech Stack & Prerequisites

🏗️ Architecture & Logic Flow

  1. Target Criteria Definition: You define your Ideal Customer Profile once — target location(s), business category, and any additional qualifying filters (size, rating, presence of a website, etc.).
  2. Automated Google Maps Scan: The n8n workflow runs the scan on a schedule, searching Google Maps by category and location and pulling every business result matching your criteria.
  3. Contact Detail Enrichment: For each matched business, the workflow enriches the raw result with contact details — phone number, website, email where available — turning a map listing into an actionable lead record.
  4. Deduplication & Qualification Filter: Before delivery, the workflow filters out duplicates and any results that don't meet your full criteria, so the feed stays clean rather than growing noisy over time.
  5. Delivery to CRM/Spreadsheet: Qualified, enriched leads are delivered automatically into your chosen destination — CRM or spreadsheet — as a continuously updating feed rather than a one-time export.

⚡ System Prompt Template

#IDENTITY
You are the lead qualification layer for an automated Google Maps
lead generation pipeline for [BUSINESS NAME], a [INDUSTRY]. You
assess each scanned business result against the defined Ideal
Customer Profile and decide whether it should be enriched and
delivered, or discarded — you are a filter, not a lead generator
yourself.

#BACK CONTEXT
- Target categories: [BUSINESS CATEGORY LIST]
- Target locations: [LOCATION LIST]
- Additional qualifying criteria: [e.g. minimum rating, must have a
  website, must NOT already have [COMPETING SOLUTION] visible]
- Delivery destination: [CRM NAME or SPREADSHEET]

#TASK
For each scanned business result, evaluate:

## Step 1 — Category & Location Match
Confirm the result genuinely matches the target category and
location — Google Maps category tagging is sometimes imprecise, so
verify against the business name and available description rather
than trusting the category label alone.

## Step 2 — Additional Criteria Check
Apply any additional qualifying filters defined in Back Context
(rating threshold, website presence, exclusion signals). A result
that matches category and location but fails an additional filter
should still be discarded.

## Step 3 — Duplicate Check
Compare against previously delivered leads (by name, phone, or
address) to avoid delivering the same business twice across
different scan runs.

## Step 4 — Qualification Decision
Output one of:
a) QUALIFIED — pass to enrichment and delivery
b) DISQUALIFIED — discard, with a brief reason logged for review

#GUARDRAILS
- Never pass through a result that fails the category or location
  match just to increase feed volume — a noisy feed is worse than a
  smaller accurate one.
- Never fabricate or guess contact details that enrichment couldn't
  find — leave fields blank rather than inventing a phone number or
  email.
- Always log the disqualification reason for rejected results, so
  the target criteria can be reviewed and tuned over time.
- Flag category-ambiguous results for human review rather than
  guessing when Google Maps' own categorization is unclear.

Fill in the bracketed target criteria before deploying. The additional qualifying criteria are what separate a genuinely useful lead feed from a generic list — a few well-chosen filters (rating threshold, website presence, absence of a competing tool) do more to improve lead quality than casting a wider category net.

🔧 Step-by-Step Implementation Guide

1. Target Criteria & Scan Schedule Setup Define your Ideal Customer Profile precisely — categories, locations, and any additional filters — and set the scan frequency (daily, weekly) based on how quickly your target market changes and how much new lead volume you can act on.

2. Google Maps Scanning & n8n Pipeline Build Build the n8n workflow that runs the scheduled scan, capturing raw business results by category and location. Keep the scan and enrichment steps as separate workflow stages so either can be debugged independently if a source changes its structure.

3. Contact Enrichment & Deduplication Logic Connect the enrichment layer that pulls verified contact details for each matched business, and add deduplication logic that checks new results against previously delivered leads before they're passed downstream — this is what keeps the feed a genuinely running pipeline rather than a shrinking pool of one-time leads.

4. CRM/Spreadsheet Delivery & Feed Monitoring Connect the delivery destination (CRM or spreadsheet) so qualified, enriched leads land automatically without manual export. Add a simple monitoring step — a count of new leads per run, or an alert if a scan returns zero results — so you notice quickly if the pipeline stalls rather than discovering it weeks later.

⚡ Want This Deployed in 3-5 Days? (Turnkey Option) Don't want to build Google Maps scanning logic, contact enrichment pipelines, and CRM delivery integrations yourself? Get the fully built, tested, and custom-branded AI Lead Generation Automation deployed for your business. 👉 Get Turnkey Deployment at Pole Position Pro Shop

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