Compare competing products using pricing pages, reviews, hiring information, and other market signals. Produce evidence-backed scores across 12 dimensions, pricing and usability analyses, and a prioritized action plan with a presentation outline for stakeholders.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Analyzes competitor products and companies by synthesizing data from pricing pages, app store reviews, job postings, SEO signals, and social media into structured competitive intelligence. Produces feature comparison matrices scored across 12 dimensions, SWOT analyses, positioning maps, UX audits, pricing model breakdowns, action item roadmaps, and stakeholder presentation templates. Use when conducting competitor analysis, comparing products against competitors, researching the competitive landscape, building battle cards for sales, preparing for a product strategy or roadmap session, responding to a competitor's new feature or pricing change, or performing a quarterly competitive review.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Tier: POWERFUL
Category: Product Team
Domain: Competitive Intelligence, Product Strategy, Market Analysis
Follow these steps in sequence to produce a complete teardown:
references/data-collection-guide.md to gather raw signals from at least 3 sources per competitor (website, reviews, job postings, SEO, social).references/analysis-templates.md (Feature Matrix, Pricing Analysis, SWOT, Positioning Map, UX Audit).Full executable scripts for each source are in
references/data-collection-guide.md. Summaries of what to capture are below.
Key things to capture:
Review sentiment categories:
Sample App Store query (iTunes Search API):
GET https://itunes.apple.com/search?term=<competitor_name>&entity=software&limit=1
# Extract trackId, then:
GET https://itunes.apple.com/rss/customerreviews/id=<trackId>/sortBy=mostRecent/json?l=en&limit=50
Parse entry[].content.label for review text and entry[].im:rating.label for star rating.
Signals from job postings:
SEO signals to capture:
Capture recent mentions via Twitter/X API v2, Reddit, or LinkedIn. Look for recurring praise, complaints, and feature requests. See references/data-collection-guide.md for API query examples.
| # | Dimension | 1 (Weak) | 3 (Average) | 5 (Best-in-class) |
|---|---|---|---|---|
| 1 | Features | Core only, many gaps | Solid coverage | Comprehensive + unique |
| 2 | Pricing | Confusing / overpriced | Market-rate, clear | Transparent, flexible, fair |
| 3 | UX | Confusing, high friction | Functional | Delightful, minimal friction |
| 4 | Performance | Slow, unreliable | Acceptable | Fast, high uptime |
| 5 | Docs | Sparse, outdated | Decent coverage | Comprehensive, searchable |
| 6 | Support | Email only, slow | Chat + email | 24/7, great response |
| 7 | Integrations | 0-5 integrations | 6-25 | 26+ or deep ecosystem |
| 8 | Security | No mentions | SOC2 claimed | SOC2 Type II, ISO 27001 |
| 9 | Scalability | No enterprise tier | Mid-market ready | Enterprise-grade |
| 10 | Brand | Generic, unmemorable | Decent positioning | Strong, differentiated |
| 11 | Community | None | Forum / Slack | Active, vibrant community |
| 12 | Innovation | No recent releases | Quarterly | Frequent, meaningful |
Example completed row (Competitor: Acme Corp, Dimension 3 – UX):
| Dimension | Acme Corp Score | Evidence |
|---|---|---|
| UX | 2 | App Store reviews cite "confusing navigation" (38 mentions); onboarding requires 7 steps before TTFV; no onboarding wizard; CC required at signup. |
Apply this pattern to all 12 dimensions for each competitor.
Full template markdown is in
references/analysis-templates.md. Abbreviated reference below.
Rows: core features, pricing tiers, platform capabilities (web, iOS, Android, API).
Columns: your product + up to 3 competitors.
Score each cell 1–5. Sum to get total out of 60.
Score legend: 5=Best-in-class, 4=Strong, 3=Average, 2=Below average, 1=Weak/Missing
Capture per competitor: model type (per-seat / usage-based / flat rate / freemium), entry/mid/enterprise price points, free trial length.
Summarize: price leader, value leader, premium positioning, your position, and 2–3 pricing opportunity bullets.
For each competitor: 3–5 bullets per quadrant (Strengths, Weaknesses, Opportunities for us, Threats to us). Anchor every bullet to a data signal (review quote, job posting count, pricing page, etc.).
2x2 axes (e.g., Simple ↔ Complex / Low Value ↔ High Value). Place each competitor and your product. Bubble size = market share or funding. See references/analysis-templates.md for ASCII and editable versions.
Onboarding: TTFV (minutes), steps to activation, CC-required, onboarding wizard quality.
Key workflows: steps, friction points, comparative score (yours vs. theirs).
Mobile: iOS/Android ratings, feature parity, top complaint and praise.
Navigation: global search, keyboard shortcuts, in-app help.
| Horizon | Effort | Examples |
|---|---|---|
| Quick wins (0–4 wks) | Low | Add review badges, publish comparison landing page |
| Medium-term (1–3 mo) | Moderate | Launch free tier, improve onboarding TTFV, add top-requested integration |
| Strategic (3–12 mo) | High | Enter new market, build API v2, achieve SOC2 Type II |
product-team/product-strategist/) — Competitive insights feed OKR and strategy planningproduct-team/landing-page-generator/) — Competitive positioning informs landing page messaging아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Audit web applications for accessibility issues against WCAG 2.2 Level A and AA, the web accessibility standards. Get framework-specific code fixes, contrast checks, verification steps, and reports, with options for automated checks in development pipelines.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Plan A/B tests that compare page variations, from headlines to pricing layouts. Define a hypothesis, choose success metrics, calculate sample size and duration, and prepare launch checks and results reports to support decisions.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create paid ad headlines and body copy tailored to each platform's character limits. Use existing performance data to develop variations, explore new messaging angles, and check copy for length, quality, and potential rejection risks.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Review code changes from three critical perspectives: production failures, maintainability, and security. Get a consolidated report that ranks findings by severity and provides merge guidance, helping examine assumptions that an ordinary self-review may overlook.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Audit and improve content intended for citation in AI answers. Review evidence, author information, and structure, generate revised content and structured metadata, and keep a local record of observed citations across AI services.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create signed records for consequential agent actions such as deployments, deletions, and payments. Decide which actions need evidence, record the agent, action, target, and policy, then verify the resulting certificate offline to detect later changes.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.