Day 26Strategic IntelFirecrawlStrategyMulti-Agent

Competitive Intel Powerhouse — AI Agent for competitor pricing tracking

Tracks market gaps and competitor pricing shifts.

Impact

Tracks market gaps and competitor pricing shifts.

Mechanism

Deep-Web Research Agent

DAY 26
Full README · Case Study

🤖 AI Competitor Intelligence Agent Team

The Thinking System for Market Dominance


Your competitors aren’t beating you with better products.

They’re beating you with better intelligence.

[!TIP] Strategy doesn’t fail because of effort. It fails because of blind spots.

Most teams still do competitor analysis the "Old Way". We built the New Way.

� The Dashboard

Dashboard Mockup
Dashboard Mockup
High-fidelity analysis of competitor pricing, features, and market gaps.


🆚 The Shift: Manual vs. AI Intelligence

Feature❌ The Old Way (Manual)✅ The New Way (AI Agents)
Data CollectionOpening 20+ tabs, skimming generic landing pages.Deep Crawling: Firecrawl extracts hidden data, pricing pages, and docs.
DiscoveryGoogling "competitors to X" and finding only the big guys.Semantic Search: Exa AI finds companies solving the same problem, even if they use different words.
AnalysisSubjective notes in a messy Google Doc.Structured Intelligence: Standardized rubrics for Pricing, Features, and Positioning.
Output"We should watch them."Actionable Strategy: "Build feature X, lower price by $5, target this niche."
Speed3 Days / Report3 Minutes / Report

💡 Use Cases

RoleWhy You Need ThisActionable Output
FoundersStop building in the dark. Know exactly what the market is missing."Pivot to Enterprise," "Add SSO feature."
Product ManagersValidate your roadmap against live competitor data.Feature Gap Analysis Matrix.
Growth LeadsFind weaknesses in competitor messaging to exploit in ads."Competitor A ignores this pain point—we will own it."
VCs / Investorsfast due diligence on a startup's competitive landscape.Instant Market Map & Threat Level assessment.

🧠 Architecture & Workflow

This isn't just a script. It's an Autonomous Agent System.

Under the Hood

The system orchestrates three specialized agents using the Agno Framework:

The Agent Team

Target URL

Delegate

Delegate

Delegate

New Competitors

Raw Specs

Strategy Report

User Input

Orchestrator

🕵️ Exa Discovery Agent

🕷️ Firecrawl Extraction Agent

🧠 Strategy Analysis Agent

Final Intelligence Dashboard

  1. �️ Discovery Agent (Exa): Scans the web for companies that match your business description semantically.
  2. 🕷️ Extraction Agent (Firecrawl): Visits each identified site, bypasses anti-bot measures, and extracts clean markdown data.
  3. 🧠 Analysis Agent (OpenAI): Acts as a McKinsey consultant, synthesizing the data into a strategic report.

🛠️ Tech Stack

ComponentTechnologyPurpose
OrchestrationAgnoManaging agent state, memory, and tool calling.
CrawlingFirecrawlTurning complex websites into LLM-ready markdown.
SearchExaNeural search to find competitors based on meaning, not keywords.
IntelligenceOpenAI GPT-4oThe "Brain" reasoning through the strategy.
InterfaceStreamlitInteractive frontend for real-time analysis.

🚀 Installation & Local Setup

Follow these steps to deploy your intelligence team.

1. Clone & Enter

bash
git clone https://github.com/ujjwaltiwari01/ai_competitor_intelligence_agent_team.git
cd ai_competitor_intelligence_agent_team

2. Install Dependencies

bash
pip install -r requirements.txt

3. Configure Secrets

Create a .env file or export these variables (or just enter them in the UI):

properties
OPENAI_API_KEY=sk-...
FIRECRAWL_API_KEY=fc-...
EXA_API_KEY=...

4. Run the Operation

bash
streamlit run competitor_agent_team.py

Ready to dominate your market?

The future belongs to the intelligent.

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