TLDR;
This video introduces a strategy for building an online business by selling readymade, AI-powered automation systems. It emphasizes using no-code platforms like Make to create these systems, incorporating custom applications to ensure client retention through recurring subscriptions. The video provides a step-by-step guide on setting up a keyword and topic research automation system, highlighting the importance of custom apps for long-term client engagement.
- Leverage AI and no-code platforms to build automation systems.
- Create custom applications within these systems to ensure client retention and recurring revenue.
- Offer readymade solutions tailored to specific client needs.
Introduction [0:00]
The online landscape has evolved, with increased competition and the rise of AI impacting traditional income streams like course creation and freelancing. The video introduces a strategy to navigate this competitive environment by leveraging AI to build online businesses. The core idea is to create and sell AI-powered automation systems, offering unique value in a crowded market.
Demo of the AI-Powered Automation System [0:48]
The author demonstrates an AI-powered automation system for keyword and topic research. This system automatically generates keyword ideas and topic suggestions, populating them into Google Sheets. The system is designed to run autonomously, providing users with fresh content ideas based on their input keywords. The author offers this system for free to viewers who want to implement it for their own websites or businesses.
Building Automated Systems with No-Code Platforms [2:36]
To build similar automated systems without coding, the author recommends using a no-code platform like Make. Make is favored for its affordability, customizability, and the ability to build custom applications. The author has partnered with Make to offer viewers free access to the pro version for one month. Custom applications are crucial for building the system and selling it, as they ensure client retention.
Explanation of the Automation System [3:45]
The automation system consists of a Google Sheet with four sheets: keywords list, keyword research, topics, and suffix. The system reads keywords from the input list, iterates over them, and performs two main operations: keyword research and topic research. The keyword research process extracts Google Keyword suggestions and saves them in the Google sheet. The topic research process searches Google, extracts unique content using a custom app and open AI, and saves the extracted topic ideas in Google Sheets.
Keyword Research Workflow [5:01]
The keyword research workflow involves updating the date of the last report execution and reading a suffix sheet containing alphabetical letters. The system loops through these letters, executing a URL to get keyword suggestions from Google's free API. The extracted keywords are then saved in the Google Sheet, along with the parent keyword and the added date.
Topic Research Workflow [7:13]
The topic research workflow uses the Serp API to search Google for each keyword. It iterates over the Google results and checks a data store within Make to avoid duplicate topic ideas. If a link is not in the database, the system reads the content from the web page using a custom app and extracts unique content using the open AI API. The extracted topic ideas are then saved in Google Sheets, along with the parent keyword.
Client Retention Strategy: Custom Apps [9:46]
To ensure client retention and recurring revenue, the author suggests incorporating custom apps into the automation systems. By developing a custom application that is essential for the system to function, clients become dependent on the service and are more likely to pay a monthly subscription. The author provides an example of a custom app that extracts ideas from web pages, emphasizing that any part of the system can be turned into a custom application with an API key.
Setting Up the System [12:26]
To set up the system, the author provides a step-by-step guide: sign up to Make using the provided link, install the custom app, and import the system blueprint. Users need to connect the system to their Google Sheet account, set the open AI API key, and create a data store. The author assures viewers that a detailed guide with all the necessary files will be provided in the description.