Build Your Market Intelligence Agent

The short version

The Market Intelligence agent runs bi-weekly Wednesdays at 9 AM and aggregates six sources (competitor websites and blogs, Crunchbase, Salesforce win/loss data, Gong sales call transcripts, customer switching signals, analyst reports) into one strategic report. The output is seven sections: competitive landscape changes, feature parity matrix, win/loss patterns, switching signals with ARR at risk, positioning comparison, watchlist, and two-to-three strategic recommendations. The difference from the daily competitive intel agent: this one zooms out to find patterns, not events. Run it for the first time on your top three competitors and see what shifts.

Your biggest competitor just raised a $50M Series B. They're now flush with cash and hiring aggressively. You find out through a news article. Not from your market intelligence. From a journalist.

Your sales team lost three deals in the last two weeks to the same competitor. You don't know why. The CRM note just says "Lost to Competitor X." Nobody on product has context about what Competitor X is doing differently or what you should do about it.

One of your largest customers mentions in a support call that they're "talking to someone else" about their needs. Nobody flags this. It's just a casual comment. By the time you notice the churn signal, they're already in contract with your competitor.

This is how companies get blindsided. Intelligence is fragmented. Win/loss data lives in the CRM but nobody reads it. Competitive announcements are scattered across blogs, LinkedIn, and news sites. Customer switching signals are buried in support transcripts.

The Market Intelligence Agent fixes this by running bi-weekly and aggregating all the signals. Competitive moves, M&A activity, win/loss data, customer switching signals - everything gets surfaced in one report with strategic recommendations.

This is how you stay ahead instead of chasing.

Daily Alerts vs. Bi-Weekly Strategy

Daily alerts tell you something happened. "Competitor X announced a new feature." "We lost a deal to Competitor Y."

But alerts don't tell you what it means. Is this a one-off announcement or part of a strategic shift? Did we lose one deal or is there a pattern? Is this customer switching signal a warning sign or a false alarm?

You need bi-weekly analysis. You need to see the pattern. You need to understand what's changing in your market and why.

A bi-weekly competitive intelligence report gives you that. It's not just "Competitor X launched Y." It's "Competitor X launched Y as part of a broader shift toward Z positioning. Here's how that affects us. Here's what we should do about it."

Here's the difference context makes:

One deal lost to a competitor. That's a sales situation. Handle the customer.

Three deals lost to the same competitor for the same reason. That's a product problem. You need to fix that gap or accept losing that segment.

Three deals lost to the same competitor AND you're hearing the same concern in five other sales calls. That's a market positioning problem. Competitors are winning with a narrative. You need a counter-narrative or a feature that makes their claim irrelevant.

Win/loss data only becomes strategic intelligence when you aggregate it and see patterns.

How the Agent Works: Competitive Intelligence at Scale

The Market Intelligence Agent connects to six sources: competitor monitoring (websites, blogs, changelogs), industry news (Crunchbase, analyst reports), CRM win/loss data, sales call notes (Gong transcripts or Slack summaries), customer switching signals, and investor/analyst reports.

It runs every other Wednesday and produces a report that covers:

What's changed in the competitive landscape. New entrants, exits, pivots, M&A activity. What does each signal? What's the implication for you?

Competitive feature parity. Where you lead, where you lag, what's new. Organized in a matrix so you can see at a glance what the competitive terrain looks like.

Win/loss analysis from the last two weeks. Why did you win deals? Why did you lose them? Which competitors are you losing to most? What's the pattern?

Customer switching signals. Who's evaluating alternatives? What are they evaluating? How much revenue is at risk?

Competitive positioning. How are competitors positioned? How are you positioned? Where's the gap?

Strategic watch list. Which competitors should you watch closely? What announcements are coming? What should you prepare for?

Strategic recommendations. Based on win/loss patterns, market movements, and switching signals, what should you do?

The output is a report that tells a story: Here's what's happening in your market. Here's what you're winning on. Here's what you're losing on. Here's what's at risk. Here's what you should do about it.

Data sources and setup

Prerequisites: Complete the Claude setup guide first. This agent needs the following MCP connections active:

• Salesforce - win/loss data, deal notes, ARR impact
• Gong - sales call transcripts with competitor mentions
• External research tools - industry publications, analyst reports, company websites

Schedule: Runs bi-weekly on Wednesday at 9:00 AM via cron. Output posts to Slack.

Quick test: Open Claude and ask: "Scan for market shifts, analyst reports, and technology trends relevant to our product category in the last 2 weeks."

For the full agent fleet and scheduling details, see Your AI Agent Fleet.

The Prompt (Customize This)

Here's the basic prompt structure:

You are a competitive intelligence analyst. Your job is to analyze your competitive landscape every two weeks.

DATA INPUTS:
- Competitor activity from websites, blogs, LinkedIn, changelogs
- Industry news (Crunchbase, analyst reports, TechCrunch)
- Win/loss data from last 2 weeks
- Sales call notes with competitive mentions
- Customer switching signals

COMPETITORS TO MONITOR: [List your 5-8 primary competitors]

INSTRUCTIONS:
1. Summarize all competitor announcements in the last 2 weeks: new features, positioning changes, hires, partnerships
2. Market landscape shifts: new entrants, exits, M&A, funding news. What does each signal?
3. Create feature parity matrix: rate us vs competitors on key capabilities
4. Analyze won deals: what made us win? What features? What positioning? Any patterns?
5. Analyze lost deals: what made us lose? Which competitor beats us most? What reason? Any patterns?
6. Identify switching signals: which customers are evaluating alternatives? Why? How much ARR at risk?
7. Compare positioning: how are they positioned vs how we're positioned? Where's the gap?
8. Recommend 2-3 strategic actions based on competitive data

TONE: Strategic, data-driven, focused on patterns and market shifts.
OUTPUT: Markdown for Slack.

What This Changes

When you have bi-weekly market intelligence, your strategic conversations shift.

You're never surprised by a competitor move. You see announcements coming. You have time to prepare your response.

Win/loss data drives product decisions. Instead of gut-feel roadmapping, you're saying "We're losing three deals a week to Competitor X on feature Y. Should we build it or accept losing that segment?"

Switching signals get handled proactively. When you know a customer is evaluating alternatives, your CS team can reach out. "We saw you're evaluating X. Here's what we offer that X doesn't." You have a chance to win them back.

Positioning becomes intentional. You're not reactive. You know what competitors are claiming. You know if their claims are true. You can either counter with features that make their claims irrelevant, or you can claim a different positioning that nobody else owns.

Roadmap priorities come from market data. You see patterns in wins and losses. You see what features are table-stakes. You see where you have white-space opportunities. Product strategy becomes evidence-based.

Sales team has competitive ammunition. When your sales team loses a deal, they know why from the CRM. Product team has already analyzed it. Sales gets a brief on "here's why we're losing to Competitor X and here's our counter-message or product roadmap that addresses it."

Retention improves. When you're tracking customer switching signals and proactively engaging at-risk customers, you prevent churn. It's cheaper to keep a customer you know is at risk than to replace them.

This is the kind of intelligence that separates product leaders from product managers. Product managers react to the market. Product leaders shape the market because they understand it deeply.

The Broader Toolkit

The Market Intelligence Agent is the strategic complement to your operational toolkit:

• Weekly Executive Report (Monday 7am): Leadership brief on execution
• Weekly Ops Digest (Monday 8am): Operational trends
• Product Health Dashboard (Tuesday 9am): Feature adoption and retention
• Release Checker (Thursday 10am): Pre-release verification
• Market Intelligence Agent (Bi-weekly Wednesday 9am): Competitive strategy

Together, these five agents give you systematic visibility into execution, operations, product health, release quality, and competitive positioning.

Start with market intelligence. It'll change how you think about strategy.

Sources: Crunchbase, Gong, Salesforce, Slack.