Marketing

Build a Competitor Research System (No Coding Required)

Analyze competitor positioning, ads, and landing pages in minutes instead of days. Two days of VA work compressed into 10 minutes.

Updated February 10, 2026 13 min read By Espen
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You can build a complete competitor research system with Claude Code that analyzes positioning, ads, and landing pages in minutes — no coding required and no $500/month intelligence platform needed. Describe what you want to know about a competitor in plain English, and Claude Code returns structured analysis you can act on immediately.

Traditional competitive research means opening dozens of tabs, taking screenshots, and spending an entire day synthesizing notes. Claude Code, powered by Claude Opus 4.6, compresses that into a repeatable system you can run in 10 minutes for $20/month as part of your Pro subscription — a fraction of what tools like Klue, Competely, or Crayon charge.

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What Good Competitor Research Looks Like

Before we build the system, let's define what we're trying to get:

Getting all of this manually for a single competitor takes hours. With Claude Code, it takes minutes.

Building the Competitor Analysis System

The Landing Page Analyzer

Start with their landing page—it's where their positioning is most concentrated:

Analyze this landing page: [paste URL or content]

Provide:
1. Primary value proposition (one sentence)
2. Target audience signals (who they're speaking to)
3. Key benefits they emphasize (top 3)
4. Objections they address
5. Social proof strategy
6. CTA structure and urgency tactics
7. Pricing presentation
8. Gaps/weaknesses in their messaging

Claude Code produces structured analysis you can immediately compare against your own positioning. Use Claude Opus 4.6 (switch with /model) for this type of deep analysis — its reasoning capabilities catch nuances in positioning that faster models miss.

The Ad Copy Analyzer

Competitor ads reveal what's actually working (companies don't keep running losing ads):

Analyze these competitor ad copies: [paste ads]

For each ad identify:
1. The hook (what stops the scroll)
2. The core promise
3. Target audience
4. Emotional trigger being used
5. CTA type
6. Unique angle

Then identify patterns across all ads and suggest 3 counter-positioning angles I could test.

This gives you the "why" behind their ads, not just the "what."

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The Full Competitive Matrix

When you need to compare multiple competitors at once:

Create a competitive analysis matrix for these 5 competitors:
[list competitors with their landing page URLs or content]

Compare across:
- Target audience
- Primary positioning
- Price point
- Key differentiator
- Main weakness

Format as a table, then provide strategic recommendations for how to position against each.

You get a complete competitive landscape in one view.

Making It a Repeatable System

The real power comes when you turn this into a system you can run regularly:

  1. Create a competitor watchlist: Your top 5-10 competitors to track
  2. Define your analysis template: What questions you always want answered
  3. Set a schedule: Monthly or quarterly deep dives
  4. Track changes: Have Claude Code compare current vs. previous analysis

Once the system is built, running it takes 10 minutes. You'll know instantly when a competitor changes their positioning, launches a new offer, or starts testing new messaging.

Save It as a Skill for One-Command Execution

Turn your competitive analysis into a reusable skill that anyone on your team can run:

Create a file at .claude/skills/competitor-scan/SKILL.md:

---
name: competitor-scan
description: Run competitive analysis against tracked competitors
---

# Competitor Scan Skill

When running a competitive scan:

1. Read competitor watchlist from @/research/competitors/watchlist.md
2. For each competitor, analyze their landing page for:
   - Value proposition changes
   - New features or pricing
   - Messaging shifts
   - Target audience signals
3. Compare to our positioning in @/strategy/positioning.md
4. Save results to /research/competitive/[date]-scan.md
5. Update /research/competitive/summary.md with changes since last scan
6. Flag anything that requires immediate attention

## Output Format
Create both a detailed analysis and a one-page executive summary.
Highlight what changed since the previous scan.

Now you run competitive scans with a single command, and Claude handles the rest.

Parallel Analysis with Subagents

When analyzing multiple competitors, Claude Code can spin up separate subagents — up to 7 working in parallel. Instead of analyzing competitors one by one, Claude assigns each competitor to a subagent, they all run simultaneously, and then Claude synthesizes the results into a single comparison. Five competitors that would take 50 minutes sequentially get analyzed in under 10.

Turning Research Into Action

Analysis without action is just procrastination. Here's how to use what you find:

Counter-position aggressively. If competitors are all saying the same thing, say something different. Claude Code can help you find the angles no one else is using.

Exploit their weaknesses. Every competitor has gaps in their messaging. Make those gaps your strengths.

Steal what works. When you see a hook or angle that's clearly working (they keep running the ad), adapt it for your own use. Don't copy—adapt.

Test fast. Use the insights to generate ad variations quickly. Claude Code can produce 10 variations of a winning angle in minutes.

The Compound Effect

Here's what most marketers miss: competitive intelligence compounds. When you run this system monthly, you start seeing patterns that give you predictive power. You know what angles are getting saturated. You spot emerging trends before they're obvious. You make better strategic decisions because you're working with better data.

And all of it takes less time than reading a competitor's homepage used to.

How This Compares to Dedicated CI Tools

There are now dozens of AI-powered competitive intelligence tools in 2026 — Visualping for website change monitoring, Klue for competitive enablement, Competely for automated analysis, Semrush and Ahrefs for SEO intelligence. They each do one thing well and charge accordingly ($50-500+/month).

Claude Code takes a different approach:

The tradeoff: dedicated CI tools offer automated monitoring (email alerts when competitors change something) and team dashboards. If you need always-on monitoring, pair Claude Code's deep analysis with a lightweight monitoring tool like Visualping for change detection.

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