competitor-teardown

Strukturierte Wettbewerbsanalyse mit Feature-Matrizen, SWOT, Positionierungsmaps und UX-Review. Umfasst Research-Frameworks, Preisvergleich, Review-Mining und visuelle Deliverables. Verwendung für: Marktforschung, Competitive Intelligence, Investorendecks, Produktstrategie, Sales Enablement. Auslöser: Wettbewerberanalyse, Konkurrenzanalyse, Wettbewerber-Teardown, Marktforschung, Competitive Intelligence, SWOT-Analyse, Wettbewerbsvergleich, Marktlandschaft, Wettbewerber-Review, Wettbewerbs...

npx skills add https://github.com/qu-skills/skills --skill competitor-teardown

Install the belt CLI skill: npx skills add belt-sh/cli

Competitor Teardown

Structured competitive analysis with research and screenshots via inference.sh CLI.

Quick Start

Requires inference.sh CLI (belt). Install instructions

belt login

# Research competitor landscape
belt app run tavily/search-assistant --input '{
  "query": "top project management tools comparison 2024 market share"
}'

# Screenshot competitor's website
belt app run infsh/agent-browser --input '{
  "url": "https://competitor.com",
  "action": "screenshot"
}'

Teardown Framework

The 7-Layer Analysis

LayerWhat to AnalyzeData Source
1. ProductFeatures, UX, qualityScreenshots, free trial
2. PricingPlans, pricing model, hidden costsPricing page, sales call
3. PositioningMessaging, tagline, ICPWebsite, ads
4. TractionUsers, revenue, growthWeb search, press, funding
5. ReviewsStrengths, weaknesses from usersG2, Capterra, App Store
6. ContentBlog, social, SEO strategyWebsite, social profiles
7. TeamSize, key hires, backgroundLinkedIn, About page

Research Commands

Company Overview

# General intelligence
belt app run tavily/search-assistant --input '{
  "query": "CompetitorX company overview funding team size 2024"
}'

# Funding and financials
belt app run exa/search --input '{
  "query": "CompetitorX funding round series valuation investors"
}'

# Recent news
belt app run tavily/search-assistant --input '{
  "query": "CompetitorX latest news announcements 2024"
}'

Product Analysis

# Feature comparison
belt app run exa/search --input '{
  "query": "CompetitorX vs alternatives feature comparison review"
}'

# Pricing details
belt app run tavily/extract --input '{
  "urls": ["https://competitor.com/pricing"]
}'

# User reviews
belt app run tavily/search-assistant --input '{
  "query": "CompetitorX reviews G2 Capterra pros cons 2024"
}'

UX Screenshots

# Homepage
belt app run infsh/agent-browser --input '{
  "url": "https://competitor.com",
  "action": "screenshot"
}'

# Pricing page
belt app run infsh/agent-browser --input '{
  "url": "https://competitor.com/pricing",
  "action": "screenshot"
}'

# Signup flow
belt app run infsh/agent-browser --input '{
  "url": "https://competitor.com/signup",
  "action": "screenshot"
}'

Feature Matrix

Structure

| Feature | Your Product | Competitor A | Competitor B | Competitor C |
|---------|:---:|:---:|:---:|:---:|
| Real-time collaboration | ✅ | ✅ | ❌ | ✅ |
| API access | ✅ | Paid only | ✅ | ❌ |
| SSO/SAML | ✅ | Enterprise | ✅ | Enterprise |
| Custom reports | ✅ | Limited | ✅ | ❌ |
| Mobile app | ✅ | iOS only | ✅ | ✅ |
| Free tier | ✅ (unlimited) | ✅ (3 users) | ❌ | ✅ (1 project) |
| Integrations | 50+ | 100+ | 30+ | 20+ |

Rules

  • ✅ = Full support
  • ⚠️ or "Partial" = Limited or conditional
  • ❌ = Not available
  • Note conditions: "Paid only", "Enterprise tier", "Beta"
  • Lead with features where YOU win
  • Be honest about competitor strengths — credibility matters

Pricing Comparison

Structure

| | Your Product | Competitor A | Competitor B |
|---------|:---:|:---:|:---:|
| **Free tier** | Yes, 5 users | Yes, 3 users | No |
| **Starter** | $10/user/mo | $15/user/mo | $12/user/mo |
| **Pro** | $25/user/mo | $30/user/mo | $29/user/mo |
| **Enterprise** | Custom | Custom | $50/user/mo |
| **Billing** | Monthly/Annual | Annual only | Monthly/Annual |
| **Annual discount** | 20% | 15% | 25% |
| **Min seats** | 1 | 5 | 3 |
| **Hidden costs** | None | Setup fee $500 | API calls metered |

What to Look For

  • Minimum seat requirements
  • Annual-only billing (reduces flexibility)
  • Feature gating between tiers
  • Overage charges
  • Setup/onboarding fees
  • Contract lock-in periods

SWOT Analysis

Create a SWOT for each competitor:

### Competitor A — SWOT

| Strengths | Weaknesses |
|-----------|------------|
| • Strong brand recognition | • Slow feature development |
| • Large integration ecosystem | • Complex onboarding (30+ min) |
| • Enterprise sales team | • No free tier |

| Opportunities | Threats |
|--------------|---------|
| • AI features not yet shipped | • New AI-native competitors |
| • Expanding into mid-market | • Customer complaints about pricing |
| • International markets untapped | • Key engineer departures (LinkedIn) |

Positioning Map

A 2x2 matrix showing where competitors sit on two meaningful dimensions.

Choose Meaningful Axes

Good AxesBad Axes
Simple ↔ ComplexGood ↔ Bad
SMB ↔ EnterpriseCheap ↔ Expensive (too obvious)
Self-serve ↔ Sales-ledOld ↔ New
Specialized ↔ GeneralSmall ↔ Large
Opinionated ↔ Flexible

Template

                    Enterprise
                        │
           Competitor C │  Competitor A
                ●       │       ●
                        │
  Simple ──────────────────────────── Complex
                        │
            You ●       │  Competitor B
                        │       ●
                        │
                      SMB

Generating the Visual

# Create positioning map with Python
belt app run infsh/python-executor --input '{
  "code": "import matplotlib.pyplot as plt\nimport matplotlib\nmatplotlib.use(\"Agg\")\n\nfig, ax = plt.subplots(figsize=(10, 10))\n\n# Competitors\ncompetitors = {\n    \"You\": (-0.3, -0.3),\n    \"Competitor A\": (0.5, 0.6),\n    \"Competitor B\": (0.6, -0.4),\n    \"Competitor C\": (-0.4, 0.5)\n}\n\nfor name, (x, y) in competitors.items():\n    color = \"#22c55e\" if name == \"You\" else \"#6366f1\"\n    size = 200 if name == \"You\" else 150\n    ax.scatter(x, y, s=size, c=color, zorder=5)\n    ax.annotate(name, (x, y), textcoords=\"offset points\", xytext=(10, 10), fontsize=12, fontweight=\"bold\")\n\nax.axhline(y=0, color=\"grey\", linewidth=0.5)\nax.axvline(x=0, color=\"grey\", linewidth=0.5)\nax.set_xlim(-1, 1)\nax.set_ylim(-1, 1)\nax.set_xlabel(\"Simple ← → Complex\", fontsize=14)\nax.set_ylabel(\"SMB ← → Enterprise\", fontsize=14)\nax.set_title(\"Competitive Positioning Map\", fontsize=16, fontweight=\"bold\")\nax.grid(True, alpha=0.3)\nplt.tight_layout()\nplt.savefig(\"positioning-map.png\", dpi=150)\nprint(\"Saved\")"
}'

Review Mining

Where to Find Reviews

PlatformBest ForURL Pattern
G2B2B SaaSg2.com/products/[product]/reviews
CapterraBusiness softwarecapterra.com/software/[id]/reviews
App StoreiOS appsapps.apple.com
Google PlayAndroid appsplay.google.com
Product HuntLaunchesproducthunt.com/posts/[product]
RedditHonest opinionsreddit.com/r/[relevant-sub]

What to Extract

CategoryLook For
Most praisedWhat features do happy users mention most?
Most complainedWhat do unhappy users say? (= your opportunity)
Switching reasonsWhy do users leave? What triggers switching?
Feature requestsWhat's missing that users want?
Comparison mentionsWhen users compare, what do they say?
# Mine G2 reviews
belt app run tavily/search-assistant --input '{
  "query": "CompetitorX G2 reviews complaints issues 2024"
}'

# Reddit sentiment
belt app run exa/search --input '{
  "query": "reddit CompetitorX alternative frustration switching"
}'

Deliverable Formats

Executive Summary (1 page)

## Competitive Landscape Summary

**Market:** [Category] — $[X]B market growing [Y]% annually

**Key competitors:** A (leader), B (challenger), C (niche)

**Our positioning:** [Where you sit and why it matters]

**Key insight:** [One sentence about the biggest opportunity]

| Metric | You | A | B | C |
|--------|-----|---|---|---|
| Users | X | Y | Z | W |
| Pricing (starter) | $X | $Y | $Z | $W |
| Rating (G2) | X.X | Y.Y | Z.Z | W.W |

Detailed Report (per competitor)

  1. Company overview (size, funding, team)
  2. Product analysis (features, UX screenshots)
  3. Pricing breakdown
  4. SWOT analysis
  5. Review analysis (top praised, top complained)
  6. Positioning vs. you
  7. Opportunity summary

Comparison Grid Visual

# Stitch competitor screenshots into comparison
belt app run infsh/stitch-images --input '{
  "images": ["your-homepage.png", "competitorA-homepage.png", "competitorB-homepage.png"],
  "direction": "horizontal"
}'

Common Mistakes

MistakeProblemFix
Only looking at featuresMisses positioning, pricing, tractionUse the 7-layer framework
Biased analysisLoses credibilityBe honest about competitor strengths
Outdated dataWrong conclusionsDate all research, refresh quarterly
Too many competitorsAnalysis paralysisFocus on top 3-5 direct competitors
No "so what"Data without insightEnd each section with implications for you
Feature-only comparisonDoesn't show positioningInclude pricing, reviews, positioning map

Related Skills

npx skills add inference-sh/skills@web-search
npx skills add inference-sh/skills@prompt-engineering

Browse all apps: belt app store

Mehr Skills von qu-skills

ai-video-generation
qu-skills
Erstelle KI-Videos mit Google Veo, Seedance 2.0, HappyHorse, Wan, Grok und 40+ Modellen über die inference.sh CLI. Modelle: Veo 3.1, Veo 3, Seedance 2.0, HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Fähigkeiten: Text-zu-Video, Bild-zu-Video, Referenz-zu-Video, Videobearbeitung, Lippen-Sync, Avatar-Animation, Video-Upscaling, Foley-Sound. Verwendung für: Social-Media-Videos, Marketinginhalte, Erklärvideos, Produktdemos, KI-Avatare. Auslöser: Videoerstellung, KI-Video,...
videocreativemedia
remotion-render
qu-skills
Videos aus React/Remotion-Komponentencode über inference.sh rendern. TSX-Code übergeben, MP4 erhalten. Unterstützt alle Remotion-APIs: useCurrentFrame, useVideoConfig, spring, interpolate, AbsoluteFill, Sequence. Konfigurierbare Auflösung, FPS, Dauer, Codec. Verwendung für: programmatische Videogenerierung, animierte Grafiken, Bewegungsdesign, datengesteuerte Videos, React-Animationen zu Video. Auslöser: remotion, Video aus Code rendern, tsx zu Video, React-Video, programmatisches Video, Remotion-Render, Code zu Video, animiert...
developmentvideocreative
ai-image-generation
qu-skills
Generieren Sie KI-Bilder mit GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve und über 50 Modellen über die inference.sh CLI. Modelle: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Fähigkeiten: Text-zu-Bild, Bild-zu-Bild, Inpainting, LoRA, Bildbearbeitung, Hochskalierung, Textrendering. Verwendung für: KI-Kunst, Produkt-Mockups, Konzeptkunst, Social-Media-Grafiken, Marketing-Visuals, Illustrationen. Auslöser: flux, Bildgenerierung, KI-Bild, Text zu...
creativemediaimage
ai-avatar-video
qu-skills
Erstelle KI-Avatar- und Talking-Head-Videos über die inference.sh CLI. Empfohlen: P-Video-Avatar (schnellste, günstigste, integrierte TTS). Auch: OmniHuman, Fabric, PixVerse. Audio: Inworld TTS-2 (100+ Sprachen, Emotionssteuerung für Charaktere), ElevenLabs, Kokoro. Fähigkeiten: audiogesteuerte Avatare, Text-zu-Avatar, Lipsync-Videos, Talking-Head-Generierung, virtuelle Präsentatoren, UGC-Inhalte. Verwenden für: KI-Präsentatoren, Erklärvideos, virtuelle Influencer, Synchronisation, Marketingvideos, UGC-Anzeigen, Gaming-Avatare,...
videocreativemedia
twitter-automation
qu-skills
Automatisiere Twitter/X mit Posting, Engagement und Benutzerverwaltung über die inference.sh CLI. Apps: x/post-tweet, x/post-create (mit Medien), x/post-like, x/post-retweet, x/dm-send, x/user-follow. Fähigkeiten: Tweets posten, Inhalte planen, Beiträge liken, retweeten, DMs senden, Benutzern folgen, Profile abrufen. Verwendung für: Social-Media-Automatisierung, Inhaltsplanung, Engagement-Bots, Zielgruppenwachstum, X API. Auslöser: twitter api, x api, tweet automation, post to twitter, twitter bot, social media automation, x...
api
agent-browser
qu-skills
Browser-Automatisierung für KI-Agenten über inference.sh. Navigieren Sie auf Webseiten, interagieren Sie mit Elementen über @e-Referenzen, machen Sie Screenshots, nehmen Sie Video auf. Fähigkeiten: Web Scraping, Formularausfüllen, Klicken, Tippen, Drag & Drop, Datei-Upload, JavaScript-Ausführung. Verwendung für: Web-Automatisierung, Datenextraktion, Testen, Agenten-Browsing, Recherche. Auslöser: Browser, Web-Automatisierung, Scrapen, Navigieren, Klicken, Formular ausfüllen, Screenshot, Web durchsuchen, Playwright, Headless-Browser, Web-Agent, Internet surfen, Video aufnehmen
browser-automationweb-scrapingtesting
web-search
qu-skills
Websuche und Inhaltsextraktion mit Tavily und Exa über die inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Fähigkeiten: KI-gestützte Suche, Inhaltsextraktion, direkte Antworten, Recherche. Verwendung für: Recherche, RAG-Pipelines, Faktenprüfung, Inhaltsaggregation, Agenten. Auslöser: Websuche, tavily, exa, search api, Inhaltsextraktion, Recherche, Internetsuche, KI-Suche, Suchassistent, Web Scraping, rag, Perplexity-Alternative
researchweb-scrapingapi
agent-tools
qu-skills
Führe 250+ KI-Apps über die inference.sh CLI aus – Bildgenerierung, Videocrstellung, LLMs, Suche, 3D, Twitter-Automatisierung. Modelle: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter und viele mehr. Verwenden beim Ausführen von KI-Apps, Generieren von Bildern/Videos, Aufrufen von LLMs, Websuche oder Automatisieren von Twitter. Auslöser: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok
developmentapicreative