Brief Summary
This video presents four AI automation systems that can be set up and sold, focusing on high-ROI applications, particularly those involving data scraping for sales and marketing. These systems include a Google Maps scraper for lead generation, a search intent scraper for identifying high-intent prospects, a YouTube repurposing scraper for content creation, and a deep multi-line icebreaker for personalized outreach.
- Google Maps scraper for lead generation
- Search intent scraper for identifying high-intent prospects
- YouTube repurposing scraper for content creation
- Deep multi-line icebreaker for personalized outreach
Introduction
The video introduces four AI automation systems created using a combination of n8n and Make.com, designed for immediate setup and sales. The focus is on demonstrating practical AI applications that can generate revenue by solving specific business needs.
Google maps scraper
The first system is a Google Maps scraper that extracts business websites from Google Maps search results. When a search term like "Calgary dentist" is entered, the system scrapes Google Maps for all relevant websites. It then processes the data to extract URLs, remove duplicates, and scrape email addresses from those websites, compiling them into a spreadsheet. This system automates lead generation by gathering contact information from businesses listed on Google Maps.
AI Automation 2
The second system is a search intent scraper that identifies high-intent prospects on LinkedIn. It searches for job listings, such as "sales development representative," and uses Apify to scrape company names, locations, job details, and responsibilities from these listings. The scraped data is then added to a database, and the system uses Anymail Finder to discover email addresses. By targeting companies that are actively hiring, this system focuses on prospects with a high likelihood of needing related services.
AI Automation 3
The third system is a YouTube repurposing scraper that turns long-form videos into high-quality snippets for social media. When a YouTube video URL is sent to the system, it uses Apify to extract the video's transcript. This transcript is then fed into OpenAI with a prompt to identify informative sections and generate Instagram, LinkedIn, or Twitter posts. The resulting content is organized into a Google Sheet, making it easy for content teams to repurpose footage.
AI Automation 4
The fourth system is a deep multi-line icebreaker that enhances personalized outreach. It starts with a database of leads from Apollo.io and uses Apify to scrape email addresses. The system then scrapes the websites of these leads, extracts HTML, and searches for additional linked websites. All of this data is fed into AI to summarize the website pages and generate a highly personalized, multi-line icebreaker. This approach aims to create a strong impression by demonstrating thorough research and referencing specific details from the prospect's website.
Outro
The video concludes by summarizing the four AI automation systems and encouraging viewers to check the description for blueprints and templates. It highlights the focus on high-ROI systems that involve scraping applications for sales and marketing. The video also mentions Maker School, an accountability program for those looking to develop business skills in AI and automation.
