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AI Outreach Automation Case Study

All-in-one Client Finder

A Python automation toolkit that discovers leads, extracts contacts, drafts AI outreach, and sends emails through one CLI workflow. The interface below is designed from your image prompt with a dark slate SaaS look, blue/cyan highlights, and AI flow visualization.

Lead to Outreach Pipeline
Automated Flow

Lead Discovery

LinkedIn and Google Maps business discovery with CSV-ready exports.

Data Extraction

Website scanning for emails, phone numbers, and company contact signals.

AI Message Generation

Personalized outreach drafts with cloud model support and local Ollama fallback.

Email Sending

SMTP delivery with sent-log tracking and cooldown-protected automation runs.

Live Automation Analytics
7-Day Snapshot
Leads Found
2,480
Contacts Extracted
1,132
Emails Sent
786
Delivery Health
99.3%
Business Contact Cards
Qualified
Peak Dental Group Dallas, TX | marketing@peakdental.com
Ready
Greenline Logistics Houston, TX | ops@greenline-logistics.com
Ready
NorthGate Health Chicago, IL | admin@northgatehealth.com
Sent

Project Summary

All-in-one Client Finder is built as a practical CLI toolkit for sales and outreach automation. It supports two tracks: a traditional business lead pipeline (LinkedIn and Google Maps to contact extraction to AI email generation and SMTP sending), and a freelance discovery path focused on Fiverr and Upwork opportunities with AI pitch generation.

The system also includes a local model fallback with Ollama, so generation can continue if cloud APIs are unavailable.

Image Prompt Used

This project visual direction follows your exact prompt specification for a cinematic, high-contrast SaaS automation dashboard visual.

Prompt: A modern SaaS-style dashboard interface visualizing AI-powered lead generation and outreach automation, showing multiple panels including business contact cards, email pipelines, analytics charts, and flowing arrows connecting stages (lead discovery -> data extraction -> AI message generation -> email sending). Clean UI with blue and cyan highlights over dark slate background, glowing data lines, minimalistic icons, and structured layout. Include subtle AI visual cues like neural patterns or abstract intelligence nodes. High contrast lighting, sharp edges, depth of field, professional tech branding aesthetic, empty space reserved for title text, ultra-detailed, 4K, cinematic lighting. Negative Prompt: low resolution, cluttered UI, too many colors, purple dominance, messy layout, distorted text, watermark, logos, cartoonish style, blurry, noise, oversaturated, unrealistic perspective
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