How to build a Tech Research Analyst with Firecrawl
An AI-powered workflow that transforms uploaded technology datasets into a structured, insight-rich report—highlighting trends, competitors, and research opportunities.
Challenge
Enterprises struggle to efficiently analyze large, complex technology datasets and identify emerging trends, key players, and competitive threats for actionable reporting.
Industry
Nonprofit
Government
Department
Research
Content Creation
Integrations
OpenAI
Firecrawl
This workflow is designed to help users analyze technology trends and identify emerging competitors in the defense and dual-use technology sector, using the latest research reports and AI-powered analysis. Here’s how it works:
1. File Upload & Processing
Files Node:
The process begins with the user uploading a report or dataset (such as a PDF or CSV). The system automatically extracts and processes the text, including running OCR (Optical Character Recognition) for scanned documents. This ensures all relevant content is available for analysis.
2. Web Search Query Generation
Web Search LLM Node:
An advanced AI model equipped with Firecrawl web search reviews the uploaded dataset and generates a concise, focused web search query. This query is designed to surface the latest patents, publications, and companies relevant to the technologies in the dataset. The LLM summarizes key topics and terms, ensuring the search is both comprehensive and targeted.
3. Deep Competitor Research
Deep Competitor Research LLM Node:
Another AI model takes both the original dataset and the generated web search results to perform a deep-dive competitor analysis. Using a Jobs-to-Be-Done framework, it identifies both well-known and hard-to-find competitors, providing citations and detailed reasoning for each finding.
4. Professional Report Formatting
Formatter LLM Node:
A specialized AI model receives the findings from the previous steps and assembles them into a single, coherent, and professionally formatted report. The output is plain text, suitable for direct use in documents or further sharing.
5. Output & Google Doc Creation
Output Node:
The final report is displayed to the user as plain text.Create Google Doc Action:
The workflow also automatically creates a new Google Doc titled "Emerging Tech Research," containing the full formatted report. This allows for easy sharing, editing, and collaboration within Google Workspace.
Workflow Summary
Input: User uploads a technology report or dataset.
Processing: AI models generate search queries, analyze trends, and identify competitors.
Output: A professional, text-only report is produced and saved as a Google Doc for further use.
This workflow streamlines the process of technology trend analysis and competitor research, leveraging the latest AI and automation tools to deliver actionable insights quickly and efficiently.





