Automated AI-Powered Business Research Workflow
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Leverage the power of AI to automate in-depth business research. This workflow extracts key company information, analyzes website content, and structures findings for actionable insights.
About This Workflow
This n8n workflow streamlines the process of gathering critical business intelligence. Starting with a manual trigger, it takes company input and iterates through research steps. It utilizes OpenAI's powerful language models to analyze website content and potentially perform Google searches via SerpAPI. The workflow is designed to extract specific data points such as domain, LinkedIn URL, market, pricing details, API availability, and integration information, all structured into a clear output. Finally, the organized data is prepared for further processing or storage, like updating a Google Sheet.
This template is ideal for market analysis, competitive intelligence, lead generation, and understanding a company's digital footprint.
Key Features
- AI-Driven Data Extraction: Utilizes OpenAI models to intelligently process information.
- Website Content Analysis: Extracts and analyzes text content from specified URLs.
- Structured Data Output: Parses complex information into a defined, usable schema.
- Tool Integration: Seamlessly integrates with tools like SerpAPI for comprehensive research.
- Automated Research Loop: Efficiently processes multiple data points for each input.
How To Use
- Trigger the Workflow: Click the "Test workflow" button on the manual trigger node.
- Provide Input: Enter the company name or relevant query into the
company_inputfield of the "Input" node. - Configure Credentials: Ensure your OpenAI API and SerpAPI accounts are connected and configured in the respective nodes.
- Review Tool Configurations: Verify the parameters in the "OpenAI Chat Model," "Get website content," and "SerpAPI - Search Google" nodes, adjusting if necessary for your specific research needs.
- Examine the Output Schema: The "Structured Output Parser" node defines the desired output. Review and adjust the
inputSchemato match the specific data points you want to extract. - Map Output Data: The "AI Researcher Output Data" node maps the parsed output to individual variables for easier use in subsequent steps.
- Connect to Data Storage: Configure the "Google Sheets - Update Row with data" node to write the extracted information to your desired Google Sheet, ensuring column mappings are correct.
Apps Used
Workflow JSON
{
"id": "a0646da5-5564-4b0a-84c6-0dac812e3717",
"name": "Automated AI-Powered Business Research Workflow",
"nodes": 18,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: a0646da5-5564...
About the Author
SaaS_Connector
Integration Guru
Connecting CRM, Notion, and Slack to automate your life.
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