This blog post explores how to leverage AI tools like ChatGPT and Perplexity to automate the research of individuals using a Notion database and Make automation platform. It provides a step-by-step guide to set up the system, enabling users to gather comprehensive information on people efficiently and effectively.
In today's fast-paced world, having quick access to information about individuals can be a game-changer, especially in professional settings. Whether you're preparing for a meeting with a new client or networking at a conference, knowing more about the person you're about to meet can provide a significant advantage. Fortunately, with the power of AI and automation, you can streamline this research process. This blog post will guide you through using ChatGPT and Perplexity to automatically gather information about anyone from their LinkedIn profile.
Many professionals, especially those in high-stakes environments like politics or business, have assistants who prepare detailed profiles of the people they meet. However, most individuals lack this luxury. By utilizing AI tools, you can level the playing field and conduct thorough research without spending hours sifting through information.
The automation process begins with a Notion database, where you can input a LinkedIn URL. Once you initialize the research status, an automated system will scan the internet every 15 minutes to gather data about the individual. This system not only pulls information from LinkedIn but also utilizes Perplexity to enhance the data collection process.
To set up this automation, follow these steps:
Create a Notion Database: Start by creating a new row in your Notion database. Input the LinkedIn URL of the person you want to research and set the research status to "initialized."
Automation with Make: Sign up for a Make account. You can start with a free trial. Create a new scenario and import the Web Researcher blueprint, which is available for download.
Linking Notion and Make: You will need to connect your Notion account to Make. Create a new integration in Notion and link it to your Make account. This will allow the automation to access your Notion database.
Setting Up API Connections: You will also need to set up API connections for OpenAI and Perplexity. Create API keys for both services and link them in your Make scenario. This will enable the automation to use ChatGPT and Perplexity for data gathering.
Activating the Automation: Once everything is connected, you can turn on scheduling in Make. This will allow the automation to check for new entries in your Notion database every 15 minutes and begin the research process.
After setting up the automation, you can test it by adding a LinkedIn URL to your Notion database and initializing the research status. The automation will begin working immediately, pulling data from LinkedIn and Perplexity. You can monitor the progress in your Notion database, where the information will populate automatically.
One of the significant advantages of this system is its flexibility. You can customize the prompts used in ChatGPT to suit your specific needs. For instance, if you're a recruiter, you can adjust the prompts to evaluate candidates based on their resumes. Alternatively, if you're looking for conversation starters, you can modify the prompts to generate relevant topics based on the individual's background.
The ability to automate research on individuals using AI tools like ChatGPT and Perplexity can save you valuable time and enhance your networking capabilities. By following the steps outlined in this post, you can set up a powerful research tool that works for you, allowing you to focus on building relationships rather than spending time on manual research. With just a few clicks, you can gather comprehensive information about anyone, making your interactions more meaningful and informed.
This automation not only streamlines your workflow but also empowers you to engage more effectively in professional settings. Embrace the power of AI and start saving time today!
