How to Build an AI Competitive Intelligence Feed

This ai competitive intelligence feed monitors competitor websites, social media, and job boards. When they change pricing or launch features, your team knows first.

What You Need Before Starting

• Python 3.8+
• Claude or GPT API key
• Web scraping libraries
• Slack webhook

Step 1: Build Your Knowledge Base

Collect and organize data for competitive intelligence.

import sqlite3
import json

def init_competitive_intelligence_db():
    conn = sqlite3.connect("competitive_intelligence.db")
    conn.execute("""CREATE TABLE IF NOT EXISTS competitive_intelligence_items (
        id INTEGER PRIMARY KEY AUTOINCREMENT,
        title TEXT, content TEXT, category TEXT,
        effectiveness_score REAL DEFAULT 0,
        created_at TEXT, updated_at TEXT
    )""")
    conn.commit()
    return conn

Step 2: Collect Source Data

Pull data from your CRM, call recordings, and deal notes.

def gather_source_data(crm_client, date_range="last_90_days"):
    deals = crm_client.get_deals(date_range=date_range, include=["notes", "activities"])
    sources = []
    for deal in deals:
        sources.append({
            "deal_name": deal["name"],
            "outcome": deal["status"],
            "notes": deal.get("notes", ""),
            "activities": deal.get("activities", []),
        })
    return sources

Step 3: Generate with AI

Use Claude to synthesize data into actionable competitive intelligence content.

import anthropic

def generate_competitive_intelligence(source_data):
    client = anthropic.Anthropic()
    message = client.messages.create(
        model="claude-sonnet-4-20250514", max_tokens=2000,
        messages=[{"role": "user",
            "content": f"Analyze this sales data and generate competitive intelligence content.\n\n{json.dumps(source_data[:20], indent=2)}"}])
    return message.content[0].text

Step 4: Distribute to Team

Push updates to your sales team via Slack or email.

import requests

def distribute_update(content, slack_webhook, team_emails):
    requests.post(slack_webhook, json={"text": f"New update:\n{content[:500]}"})
    for email in team_emails:
        send_email(email, "Sales Enablement Update", content)

Step 5: Track Effectiveness

Measure which content actually helps close deals.

def track_effectiveness(conn, item_id, deal_outcome):
    if deal_outcome == "won":
        conn.execute("UPDATE competitive_intelligence_items SET effectiveness_score = effectiveness_score + 1 WHERE id = ?", (item_id,))
    conn.commit()

def get_top_performers(conn, limit=10):
    return conn.execute("SELECT title, effectiveness_score FROM competitive_intelligence_items ORDER BY effectiveness_score DESC LIMIT ?", (limit,)).fetchall()

What to Build Next

Feed intel into your battle cards automatically.

Related Reading

• Setting Up Automated Competitive Intelligence Feeds - automated competitive intelligence feeds
• Competitive Intelligence with AI - competitive intelligence ai automated
• Creating Automated Competitive Reports - automated competitive reports guide