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Work — AI Email, CRM & Sales Flows

Get Found Local

An end-to-end outbound engine — Google Maps scraped for local businesses that are hard to find online, website pitches built, and email campaigns sent and followed up automatically.

Status — LiveYear — 2026

The brief

Thousands of local service businesses are effectively invisible online — no website, or one that doesn't earn them a customer. Get Found Local was built to find them and fix that: a pipeline that starts at the map and ends in a client.

Stage one scrapes Google Maps metro by metro — lawn care, restaurants, home services — and qualifies each business's web presence. Stage two builds the pitch: a website offer under the Get Found Local brand. Stage three runs the outreach: personalized cold email at campaign scale, with follow-up sequencing handled automatically.

Run across dozens of US metros, from Athens to Austin to Colorado Springs. The same pattern — find, qualify, contact, follow up — now ships to clients as an outbound growth system.

How it runs

The structure of the build, end to end — each stage hands off to the next.

01ScrapeGoogle Maps mined metro by metro for local businessesPython
02Qualifyeach business's web presence scored, weak ones become leads
03Pitcha website offer assembled under the Get Found Local brand
04Outreachpersonalized cold email sent at campaign scaleSMTP automation
05Follow-upsequences fire on schedule until a reply lands
06Clientresponses become conversations, conversations become builds

Delivered

A Google Maps scraping engine, producing qualified lead lists metro by metro.

Automated cold-email campaigns with personalization and scheduled follow-up sequences.

Campaign operations across dozens of US metros and multiple local-service verticals.

The Get Found Local brand and website offer for businesses with no usable web presence.

A repeatable find-qualify-contact-follow-up pattern, now offered as a client build.

PythonGoogle Maps dataEmail automationCSV lead ops

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