Competitor Analysis
Orchestrate 7 research agents to produce a comprehensive competitor teardown. Phase 1 runs 4 parallel research agents (Product, Marketing, UX, Technical). Phase 2 runs 3 sequential synthesis agents (MVP Spec, GTM Strategy, Competitive Landscape) that build on Phase 1 findings.
Workflow
- Parse Input
Target: $ARGUMENTS
If the target above is non-empty, use it immediately — do NOT ask the user to confirm or re-provide it. Parse it as follows:
-
URL (starts with http ): use as-is for WebFetch, extract company name from domain
-
Company name (no URL): construct likely URLs (https://{name}.com , https://www.{name}.com )
If the target above is empty, ask the user what competitor to analyze and wait for their response.
Store the parsed values:
-
COMPANY_NAME : Human-readable name (e.g., "Linear")
-
PRIMARY_URL : Main product URL (e.g., "https://linear.app")
IMPORTANT: When a target is provided, begin Phase 2 immediately after parsing. Do not pause for user input.
- 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}
- 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.
- 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}
- 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
- Product Overview
- Marketing Analysis
- UX Analysis
- Technical Stack
- MVP Specification
- Go-to-Market Strategy
- 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
- [Biggest gap or underserved segment]
- [Second opportunity]
- [Third opportunity]
Top 3 Risks
- [Biggest risk in competing]
- [Second risk]
- [Third risk]
Recommended Next Steps
- [Most important action]
- [Second action]
- [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.