AI tools can take much of the manual work out of researching products and organising the results in a spreadsheet. Instead of searching for each item individually and copying information into rows and columns, you can use AI agents or built-in spreadsheet assistants to handle much of the process automatically.
For example, an AI agent can search for products, collect details such as price and ratings, and organize the information into a structured table. This can be useful for product research, price comparisons, market analysis, and other repetitive tasks.
There are several ways to automate this workflow. You can use autonomous AI agents, AI features built directly into spreadsheet applications, or automation platforms that connect AI services with tools such as Excel and Google Sheets.
Some of these features require a paid subscription, so check the plan requirements before setting up a workflow.
How to Automate Searches and Spreadsheets With AI
There are three main approaches to consider:
- AI-powered agents
- AI assistants built into spreadsheet applications
- Automation platforms such as n8n and Zapier
Each option works differently and is suited to different types of tasks.
Use AI Agents to Research and Build Spreadsheets
AI agents can perform multiple steps on your behalf instead of simply responding to individual prompts. Depending on the service and plan, an agent can access websites, gather information, work with applications, and organize the collected data.
Examples mentioned in the source include Claude Cowork, ChatGPT Work, and Gemini Spark. These tools can be configured for workflows that involve web research and application control.
However, access to these agent features may depend on the subscription plan. Check the current pricing and feature availability for the service you plan to use before subscribing.
Example AI Agent Prompt for Product Research
A detailed prompt can tell the agent exactly what information to collect and how the final spreadsheet should be organized.
For example:
Research the 10 best-selling or highest-rated blender models on the US market in 2026, focusing on popular brands. For each model, collect the following information:
- Model name and brand
- Average price in Brazilian reais
- Power in watts
- Jar capacity in liters
- Number of speeds or functions
- Jar material
- Average customer rating from 1 to 5
- Number of reviews
- Source link
Create a spreadsheet with one row for each blender and one column for each criterion. Sort the products by average rating, from highest to lowest.
Add a separate tab or section summarizing the results, including which model offers the best value for money and which model has the highest rating.
The more specific the instructions, the easier it is for the AI to produce a spreadsheet in the format you need.
It is still important to review the results. Product prices, ratings, availability, and specifications can change, and information collected from different websites may not always use the same standards.
Use AI Directly in Google Sheets or Excel
You do not necessarily need a separate AI agent to automate spreadsheet tasks. Spreadsheet applications now include their own AI features.
Google Sheets offers Gemini, while Microsoft Excel includes Copilot. These tools can help users generate and organize spreadsheet content using natural-language instructions.
According to the source, these features are available through paid plans.
How to Create a Spreadsheet With Gemini in Google Sheets
The basic process is straightforward:
- Open Google Sheets.
- Select the Gemini icon.
- Enter your instructions or paste a detailed research prompt.
- Review and confirm the instructions generated by the AI.
- Wait for the spreadsheet content to be created.
You can use a prompt similar to the blender example above and specify the columns, sorting requirements, and summary information you want.
This approach can be more convenient than moving information between a separate AI service and your spreadsheet because the AI functionality is integrated directly into the application.
Automate AI Spreadsheet Workflows With n8n and Zapier
Another option is to connect AI services to automation platforms.
Tools such as n8n and Zapier can connect different applications and services to create automated workflows. An AI service can perform part of the research, while the automation platform transfers the resulting information into a spreadsheet.
For example, a workflow could be designed to:
- Receive a search request or form submission.
- Send the request to an AI service.
- Collect the relevant product information.
- Format the results into structured fields.
- Add the information to a Google Sheets or Excel spreadsheet.
- Repeat the process whenever a new request arrives.
The exact setup depends on the services and integrations being used, so the configuration steps can vary.
Why Use Automation Platforms?
One major advantage is that the AI workflow can operate in the background without requiring you to manually open an AI assistant every time.
Once configured, the connected services can automatically pass information to one another. This makes the approach particularly useful for recurring research tasks and workflows that need to process new information regularly.
Which AI Spreadsheet Method Should You Use?
The best approach depends on how much automation you need.
| Method | Best for | Main advantage |
|---|---|---|
| AI agents | Multi-step research | Can handle several tasks in one workflow |
| Gemini in Google Sheets | Google Sheets users | AI is built into the spreadsheet |
| Copilot in Excel | Microsoft Excel users | AI works within Excel |
| n8n | Custom workflows | Flexible automation between services |
| Zapier | Connecting different apps | Easier setup for many common workflows |
For a one-time research task, an AI agent or built-in spreadsheet assistant may be enough. If you need the same process to run repeatedly, an automation platform can reduce the amount of manual work involved.
Check AI-Generated Spreadsheet Data Before Using It
Automation can save time, but the resulting spreadsheet should still be checked before it is used for important decisions.
Product information can vary between retailers, while prices, ratings, stock levels, and specifications can change. An AI system may also interpret information differently across different sources.
For product research, it is worth checking the original source links and confirming important specifications before publishing or making a purchasing decision.
AI Agents vs AI Assistants for Spreadsheet Tasks
AI assistants generally respond to instructions and help users complete individual tasks. AI agents are designed to handle a series of actions with less manual intervention.
For spreadsheet research, an assistant can help create formulas, format tables, or generate content. An agent can potentially take a broader instruction, search for information, organize the findings, and place the results into a spreadsheet.
The difference becomes particularly useful when a task involves several connected steps rather than a single request.
AI can make spreadsheet-based research much faster by combining web searches, data collection, and table creation into a single workflow.
For occasional tasks, built-in AI features in Google Sheets or Excel may be enough. For more complex research, autonomous AI agents can handle multiple steps. Automation platforms such as n8n and Zapier are better suited to workflows that need to run repeatedly or connect several applications.
Whichever method you choose, review the generated information before relying on it. AI can organise large amounts of data quickly, but the accuracy of the final spreadsheet still depends on the quality and reliability of the information being collected.
