Competitor Analysis

IMPORTANT: When a target is provided, begin Phase 2 immediately after parsing. Do not pause for user input.

2. Phase 1 — Parallel Research Agents

Spawn 4 agents in parallel using the Task tool. Each agent is general-purpose (needs WebSearch + WebFetch). Run all 4 with run_in_background: true for maximum parallelism.

Read REFERENCE.md first to get the detailed research checklists and output templates for each agent.

Agent 1: Product Overview

subagent_type: general-purpose
run_in_background: true

Prompt:

You are a product research analyst. Research {COMPANY_NAME} ({PRIMARY_URL}) and produce
a comprehensive product overview.

Follow the "Product Overview Agent" template in the reference below. Use WebSearch and
WebFetch to gather information. Cite sources for every claim.

{paste Product Overview section from REFERENCE.md}

Agent 2: Marketing Analysis

subagent_type: general-purpose
run_in_background: true

Prompt:

You are a marketing strategist. Research {COMPANY_NAME}'s marketing and positioning.

Follow the "Marketing Analysis Agent" template in the reference below. Use WebSearch and
WebFetch to analyze their marketing channels, messaging, and content strategy.

{paste Marketing Analysis section from REFERENCE.md}

Agent 3: UX Analysis

subagent_type: general-purpose
run_in_background: true

Prompt:

You are a UX researcher. Analyze the user experience of {COMPANY_NAME} ({PRIMARY_URL}).

Follow the "UX Analysis Agent" template in the reference below. Use WebFetch to walk
through their signup flow, onboarding, and core product experience.

{paste UX Analysis section from REFERENCE.md}

Agent 4: Technical Stack

subagent_type: general-purpose
run_in_background: true

Prompt:

You are a technical researcher. Investigate the technology stack behind {COMPANY_NAME}.

Follow the "Technical Stack Agent" template in the reference below. Use WebSearch and
WebFetch to analyze their tech choices, APIs, architecture signals, and engineering culture.

{paste Technical Stack section from REFERENCE.md}

3. Collect Phase 1 Results

Wait for all 4 background agents to complete. Read their output files to collect results.

Compile a Phase 1 Summary containing the key findings from each agent. This summary feeds into Phase 2 agents.

4. Phase 2 — Sequential Synthesis Agents

Phase 2 agents run sequentially because each builds on prior results. These are NOT background agents — wait for each to complete before spawning the next.

Read REFERENCE.md for detailed templates.

Agent 5: MVP Specification

subagent_type: general-purpose

Prompt:

You are a product strategist. Based on the competitor research below, define an MVP
specification for a product that competes with {COMPANY_NAME}.

## Phase 1 Research Findings
{paste compiled Phase 1 findings}

Follow the "MVP Specification Agent" template in the reference below.

{paste MVP Specification section from REFERENCE.md}

Agent 6: Go-to-Market Strategy

subagent_type: general-purpose

Prompt:

You are a go-to-market strategist. Based on the competitor research and MVP spec below,
design a go-to-market strategy for competing with {COMPANY_NAME}.

## Phase 1 Research Findings
{paste compiled Phase 1 findings}

## MVP Specification
{paste Agent 5 output}

Follow the "Go-to-Market Strategy Agent" template in the reference below.

{paste GTM Strategy section from REFERENCE.md}

Agent 7: Competitive Landscape

subagent_type: general-purpose

Prompt:

You are a market analyst. Based on all prior research, map the competitive landscape
around {COMPANY_NAME} and identify differentiation opportunities.

## Phase 1 Research Findings
{paste compiled Phase 1 findings}

## MVP Specification
{paste Agent 5 output}

## Go-to-Market Strategy
{paste Agent 6 output}

Follow the "Competitive Landscape Agent" template in the reference below.

{paste Competitive Landscape section from REFERENCE.md}

5. Final Synthesis

Combine all 7 agent outputs into a single report. Present to the user with this structure:

# Competitor Teardown: {COMPANY_NAME}

## Executive Summary
[3-5 bullet points: what they do, how they win, where they're vulnerable]

## Table of Contents
1. Product Overview
2. Marketing Analysis
3. UX Analysis
4. Technical Stack
5. MVP Specification
6. Go-to-Market Strategy
7. Competitive Landscape

---

[Agent 1 output — Product Overview]

---

[Agent 2 output — Marketing Analysis]

---

[Agent 3 output — UX Analysis]

---

[Agent 4 output — Technical Stack]

---

[Agent 5 output — MVP Specification]

---

[Agent 6 output — Go-to-Market Strategy]

---

[Agent 7 output — Competitive Landscape]

---

## Key Takeaways

### Top 3 Opportunities
1. [Biggest gap or underserved segment]
2. [Second opportunity]
3. [Third opportunity]

### Top 3 Risks
1. [Biggest risk in competing]
2. [Second risk]
3. [Third risk]

### Recommended Next Steps
1. [Most important action]
2. [Second action]
3. [Third action]

Example Invocations

/competitor-analysis https://linear.app
/competitor-analysis Notion
/competitor-analysis https://www.figma.com
/competitor-analysis Vercel

Anti-Patterns

• Don't skip Phase 1 before Phase 2: Synthesis agents need research findings to produce useful output. Never run Phase 2 agents without passing them Phase 1 results.
• Don't use Explore agents: Sub-agents need WebSearch and WebFetch for external research. Use general-purpose only.
• Don't collapse agents: Each agent has a distinct research lens. Combining them loses depth.
• Don't fabricate data: If an agent can't find information (e.g., pricing not public), it should say so explicitly rather than guessing.
• Don't skip citations: Every factual claim must reference a source URL or page.
• Don't run Phase 2 in parallel: Agent 6 needs Agent 5's output, Agent 7 needs both.

Notes

• Total runtime is typically 3-8 minutes depending on the target's web presence.
• Phase 1 agents run in background for parallelism; Phase 2 agents run sequentially.
• If a Phase 1 agent fails or returns thin results, note the gap in the final report rather than blocking Phase 2.
• For private/stealth companies with minimal web presence, agents will produce thinner reports — this is expected.