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Agent: Competitor Analysis Agent 🔍

Public Access
https://competitor-analysis-agent.streamlit.app/

What This Agent Does
This agent automates competitive analysis by:

  • Identifying key competitors through intelligent web searches.
  • Scraping competitor websites to extract product details, pricing, and features.
  • Generating comprehensive strategic reports, including SWOT analysis and market positioning.
  • Providing actionable recommendations to help businesses gain a competitive edge.

Screenshots / Demo
A sample output of a full analysis run by the agent is available in SAMPLE_RUN.md.

You can also run the interactive demo using Streamlit.

Live Demo or API Endpoint
https://competitor-analysis-agent.streamlit.app/ To run the live demo locally, execute the following command in your terminal:

streamlit run streamlit_app.py

Enterprise Business Impact

  • Before: Competitor analysis was a manual, time-consuming process that often took weeks and resulted in outdated insights.
  • After: The agent delivers comprehensive, real-time competitive reports in minutes, enabling agile strategic decision-making.
  • Why Build: To provide businesses with a powerful, automated tool for continuous competitive intelligence, reducing manual effort and cost.
  • Impact Metrics:
    • Reduces research time by over 95%.
    • Improves data accuracy for strategic planning.
    • Identifies market opportunities and threats faster.

Who Should Use It
This agent is valuable for:

  • Strategic Planners: For data-driven strategic decisions.
  • Market Researchers: To automate competitive intelligence gathering.
  • Product Managers: To identify feature gaps and opportunities.
  • Sales & Marketing Teams: To create competitive battle cards.
  • Investment Analysts: For evaluating market dynamics.
  • Startups: To analyze the competitive landscape for new ventures.

Similar Agents / Code Reuse
The underlying architecture can be adapted for other research-intensive tasks. Related projects include:

Technical Stack

  • Core: Python 3.12+
  • AI Framework: Agno Framework
  • LLM Provider: OpenRouter
  • Web Scraping: MCP Tools (Firecrawl)
  • Reasoning: ReasoningTools
  • UI Demo: Streamlit

How to Run Locally

  1. Clone the repository: 
    git clone https://github.com/bhanuchaddha/enterprise-ai-agents.git
cd enterprise-ai-agents/5_competitor_analysis_agent
  2. Install dependencies: 
    uv sync
  3. Configure environment variables: Create a .env file and add your OPENROUTER_API_KEY.
  4. Run the agent: 
    uv run 5_competitor_analysis_agent.py
  5. Run the interactive demo: 
    streamlit run streamlit_app.py

Contact / Maintainer
Bhanu Chaddha on LinkedIn

License
This project is licensed under the MIT License.