Automating Outreach with AI Agents

Traditional lead generation is slow, manual, and often results in generalized, low-converting cold outreach.

We recently partnered with an agency to solve this exact problem. They were spending hundreds of hours manually browsing Google Maps, checking local business websites for missing features (like chat widgets or SEO issues), and drafting emails.

The Solution: A Multi-Agent AI System

We engineered a custom Google Chrome Extension powered by a backend Node.js server and OpenAI's latest models.

Step 1: Automated Data Extraction

The user opens Google Maps. Our extension injects "Audit" buttons next to every business listing. With one click, the system scrapes the business name, address, and website URL.

Step 2: Intelligent Website Analysis

The backend server navigates to the scraped URL and extracts the HTML. We then feed this structured data into a specialized LLM (Large Language Model) instructed to act as an SEO and web-presence auditor.

The AI identifies "leaks" in the business's funnel, such as:

Lack of a WhatsApp booking integration.
Missing live chat widgets.
Poor mobile responsiveness.

Step 3: Hyper-Personalized Generation

Based on the specific flaws found on the website, a second AI agent drafts a highly personalized cold email.

Instead of a generic "We build websites", the email reads: "Hi [Owner Name], I loved your shop on [Street Name], but noticed you don't have a WhatsApp booking link on your site, which means you're likely losing mobile customers..."

The Result

The agency increased their outreach volume by 10x while simultaneously increasing their open and reply rates due to the extreme personalization of the AI-generated emails.