Product Research Agent
Set up a product research agent. It covers everything from receiving user messages, transforming them using AI and organizing selected products in a spreadsheet.
How to Create a Product Research Agent with Make
This template will help you set up an agent that takes a user's message, conducts online research, and compiles a list of products in a spreadsheet. All using Make and systemprompt.io.
Steps
Receive User Messages
Start by setting up a webhook. This will be the entry point where you receive messages from users detailing what products they are looking for.
Transform Messages to Search Terms
Use a systemprompt.io Prompt to convert the users message into a precise search term or phrase. This ensures your search results are targeted and relevant.
Prompt linked in resources.
Conduct Internet Research
Once you have the search term, browse the internet to find valuable product internet to find valuable product information. This could involve visiting various e-commerce platforms or product comparison sites to gather data.
We use SERP API to search the internet for product information.
Curate a Product List
Use Systemprompt.io again to organize and filter the raw product data into a concise list. Focus on selecting only the best options based on criteria such as quality, price, and availability.
Prompt linked in resources.
Organize Data in a Spreadsheet
Organize the curated product list into a spreadsheet. Ensure the spreadsheet includes important details like product names, descriptions, and direct links. This format will make it much easier for users to review and make purchase decisions.
