LangGraphIntermediate⏱ ~25 minutes

Competitive Intelligence Agent

Never be surprised by a competitor's move again — automated competitive monitoring 24/7

★ 4.6(24 reviews)•Research & Analysis

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$149$298

✓ Full source code & documentation
✓ Commercial license included
✓ 30-day email support
✓ Free updates for 1 year

What You Get

Everything included in this template package

💻

Working Agent Code

4 LangGraph agents for monitoring, analysis, alerting, and reporting

⚙️

Configuration File

Competitor URLs, monitoring frequency, and alert thresholds

💬

Prompt Templates

10 prompts for competitive analysis scenarios

📖

Setup Guide

Competitor setup and monitoring configuration guide

↔️

Example I/O

Sample intelligence briefs and alert examples

📐

Architecture Diagram

Monitoring pipeline flow diagram

😤

The Problem

You find out about competitor changes weeks after they happen. Someone notices a pricing update on Twitter, a new feature ships while you're focused on your roadmap, and hiring patterns signal a strategic pivot you missed. Manual monitoring is impossible at scale.

✨

The Solution

This agent system continuously monitors competitor websites, job boards, press releases, social media, and product pages. It detects meaningful changes and delivers weekly intelligence briefs with strategic implications — so you can respond proactively.

How It Works

Your AI crew handles the entire workflow

Input

Your task description, data, or trigger event

→

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AI Agents

Web MonitorCrawls competitor websites for pricing, feature, and content changes

Signal AnalystAnalyzes hiring patterns, funding news, and strategic signals

Change DetectorCompares current state vs. historical data to identify meaningful changes

Brief GeneratorCreates actionable intelligence summaries with strategic recommendations

→

↓

Output

Structured results, reports, and actionable insights

Code Preview

Sample of the LangGraph agent setup

Preview only

crew.py

from langgraph.graph import StateGraph, END
from agents import WebMonitor, SignalAnalyst
from agents import ChangeDetector, BriefGenerator

def build_intel_graph():
    workflow = StateGraph(IntelState)

    workflow.add_node("monitor", WebMonitor())
    workflow.add_node("analyze", SignalAnalyst())
    workflow.add_node("detect", ChangeDetector())
    workflow.add_node("brief", BriefGenerator())

    workflow.add_edge("monitor", "detect")
    workflow.add_edge("detect", "analyze")
    workflow.add_conditional_edges(
        "analyze",
        has_significant_changes,
        {"alert": "brief", "skip": END}
    )
    workflow.add_edge("brief", END)

    workflow.set_entry_point("monitor")
    return workflow.compile()

Example Input & Output

See what goes in and what comes out

Input

Monitor competitors:
1. Intercom (intercom.com)
2. Zendesk (zendesk.com)
3. Freshdesk (freshdesk.com)

Track: Pricing pages, feature announcements, job postings, blog content

Output

🔔 Weekly Intelligence Brief — March 3-9, 2025

🚨 HIGH PRIORITY:
• Intercom launched "Fin 2.0" AI agent — claims 50% resolution rate (up from 30%)
• Zendesk quietly increased Enterprise pricing by 12% ($115 → $129/agent)

📊 HIRING SIGNALS:
• Intercom: 8 new AI/ML job postings (doubling down on AI-first strategy)
• Freshdesk: Hiring VP of Enterprise Sales (moving upmarket)

📝 CONTENT STRATEGY:
• Zendesk published 4 case studies featuring enterprise AI automation
• Intercom shifted blog focus from chatbots to "AI teammates"

💡 STRATEGIC IMPLICATIONS:
1. Intercom's Fin 2.0 raises the bar — your AI resolution rate needs to match
2. Zendesk's price increase creates an opportunity to win price-sensitive prospects
3. Freshdesk moving upmarket opens SMB segment for you