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Competitor Analysis

  • 385 installs
  • 614 repo stars
  • Updated August 5, 2026
  • openclaudia/openclaudia-skills

competitor-analysis is an agent skill that runs a 10-step competitive intelligence framework across SEO, paid ads, social, email, pricing, and positioning for developers who need data-backed rival benchmarks before produ

About

competitor-analysis is an OpenClaudia agent skill that guides Claude, Cursor, or Codex through a structured 10-step competitive intelligence workflow. The framework identifies 3–5 direct, 2–3 indirect, and 1–2 aspirational rivals, then builds SEO profiles, paid-ad breakdowns, social media tables, email lifecycle audits, pricing comparisons, SWOT analyses, and a competitive matrix. Optional Semrush, SerpAPI, and ScrapingBee API integrations enrich domain ranks, SERP positions, and blocked-page scraping when keys are set; web search covers the rest. Developers reach for competitor-analysis when scoping a SaaS launch, repositioning against incumbents, or preparing investor or roadmap decks that require evidence-backed differentiation and quick-win recommendations.

  • Competitive landscape and positioning maps
  • Feature and pricing comparison matrices
  • SWOT and differentiation angles
  • Messaging and audience overlap analysis
  • Actionable gaps for product strategy

Competitor Analysis by the numbers

  • 385 all-time installs (skills.sh)
  • +20 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #814 of 3,282 Productivity & Planning skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/openclaudia/openclaudia-skills --skill competitor-analysis

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Installs385
repo stars614
Last updatedAugust 5, 2026
Repositoryopenclaudia/openclaudia-skills

How do you benchmark competitor SEO and pricing?

Map competitor positioning, pricing, features, and messaging before scoping a new product or entering a crowded market segment.

Who is it for?

Developers or PMs scoping a SaaS product who need structured rival research across SEO, ads, pricing, and positioning before committing to a build.

Skip if: Developers who already have finalized requirements and only need implementation, code review, or deployment automation without market research.

When should I use this skill?

User asks for competitor analysis, competitive landscape, benchmark rivals, SWOT, competitive matrix, competitor SEO, ads, or pricing research.

What you get

Competitive matrix, SWOT reports, SEO and ad profiles, pricing comparison tables, positioning map, and prioritized strategic recommendations.

  • Competitive matrix and SWOT reports
  • SEO and paid-ad competitor profiles
  • Pricing comparison table and strategic recommendations

By the numbers

  • 10-step competitive intelligence framework from context gathering through strategic recommendations
  • 3 optional API integrations: Semrush, SerpAPI, and ScrapingBee
  • 3 competitor tiers: 3-5 direct, 2-3 indirect, and 1-2 aspirational rivals

Files

SKILL.mdMarkdownGitHub ↗

Competitor Analysis Framework

You are an expert competitive intelligence analyst. When the user asks you to analyze competitors, build competitive matrices, or identify competitive advantages, follow this framework.

Optional API Integrations

The following API keys enable richer data collection. All are optional -- the framework works without them using web search and manual research.

  • SEMRUSH_API_KEY - Domain overview, organic keywords, competitor discovery, traffic estimates
  • SERPAPI_API_KEY - Real-time SERP competitive analysis, ad copy extraction
  • SCRAPINGBEE_API_KEY - Scrape competitor pages that block direct fetching

SemRush API (if SEMRUSH_API_KEY available)

Domain Overview - Get traffic, keywords, and authority for any competitor:

# Domain overview (organic traffic, keywords, authority score)
curl -s "https://api.semrush.com/?type=domain_ranks&key=${SEMRUSH_API_KEY}&export_columns=Db,Dn,Rk,Or,Ot,Oc,Ad,At,Ac&domain={competitor_domain}"

Columns: Db=Database, Dn=Domain, Rk=Rank, Or=Organic Keywords, Ot=Organic Traffic, Oc=Organic Cost, Ad=Adwords Keywords, At=Adwords Traffic, Ac=Adwords Cost.

Organic Keywords - See what keywords a competitor ranks for:

# Top organic keywords for a competitor domain
curl -s "https://api.semrush.com/?type=domain_organic&key=${SEMRUSH_API_KEY}&domain={competitor_domain}&database=us&export_columns=Ph,Po,Nq,Cp,Ur,Tr&display_limit=50&display_sort=tr_desc"

Columns: Ph=Keyword, Po=Position, Nq=Search Volume, Cp=CPC, Ur=URL, Tr=Traffic %.

Competitor Discovery - Find domains competing for the same keywords:

# Domains competing with a given domain in organic search
curl -s "https://api.semrush.com/?type=domain_organic_organic&key=${SEMRUSH_API_KEY}&domain={domain}&database=us&export_columns=Dn,Cr,Np,Or,Ot,Oc&display_limit=20"

Columns: Dn=Domain, Cr=Competition Level, Np=Common Keywords, Or=Organic Keywords, Ot=Organic Traffic, Oc=Organic Cost.

Keyword Gap - Find keywords competitors rank for but you do not:

curl -s "https://api.semrush.com/?type=domain_domains&key=${SEMRUSH_API_KEY}&domains=*|or|{your_domain}|*|or|{competitor1}|*|or|{competitor2}&database=us&export_columns=Ph,P0,P1,P2,Nq,Cp&display_limit=50&display_filter=%2B|P0|Eq|0"

The filter +|P0|Eq|0 returns keywords where your domain (position 0) does not rank.

SerpAPI (if SERPAPI_API_KEY available)

SERP Competitive Analysis - See who ranks for key terms in real time:

# Real-time SERP for competitive keywords
curl -s "https://serpapi.com/search.json?q={keyword}&api_key=${SERPAPI_API_KEY}&num=20&gl=us&hl=en"

Use this to:

  • Identify which competitors dominate organic results for target keywords (parse organic_results)
  • Extract competitor ad copy from ads and shopping_results fields
  • Discover related competitor keywords from related_searches
  • See competitor presence in SERP features: knowledge_graph, local_results, featured_snippet

Google Ads Competitor Analysis:

# Search a commercial keyword to see competitor ads
curl -s "https://serpapi.com/search.json?q={commercial_keyword}&api_key=${SERPAPI_API_KEY}&gl=us&hl=en"

The response ads array contains: position, title, link, displayed_link, tracking_link, description, sitelinks. This reveals competitor ad copy, landing pages, and messaging.

ScrapingBee (if SCRAPINGBEE_API_KEY available)

Use ScrapingBee to scrape competitor pages that block direct fetching via WebFetch (e.g., JavaScript-heavy pages, bot-protected sites, pricing pages):

# Scrape a competitor page
curl -s "https://app.scrapingbee.com/api/v1/?api_key=${SCRAPINGBEE_API_KEY}&url={url}&render_js=false"

Set render_js=true if the page requires JavaScript rendering (SPAs, dynamic pricing tables). Useful for:

  • Extracting pricing page details when WebFetch returns incomplete content
  • Scraping competitor landing pages for messaging and positioning analysis
  • Capturing competitor feature comparison pages
  • Getting content from sites that block automated requests

Note: ScrapingBee charges per request. Use sparingly -- try WebFetch first and fall back to ScrapingBee only when needed.

Step 1: Gather Context

Establish: user's product, industry/vertical, target audience, known competitors, key concerns (pricing, features, marketing), available tools (SEMrush, Ahrefs, SimilarWeb), goal (strategy, launch decision, investor deck, repositioning).

Step 2: Competitor Identification

Three Categories

  • Direct (same product, same audience): 3-5 competitors
  • Indirect (different product, same problem): 2-3 competitors
  • Aspirational (market leaders to learn from): 1-2 competitors

Discovery Methods

Google "[category]" (ads + organic top 10), G2/Capterra "Compare" pages, Reddit/Twitter "[competitor] alternative", customer interviews, job postings, funding announcements, SEMrush "Competing Domains" report.

Step 3: SEO Analysis

If SEMRUSH_API_KEY is available, use the Domain Overview and Organic Keywords endpoints (see Optional API Integrations above) to populate the profile below with real data. If SERPAPI_API_KEY is available, supplement with real-time SERP position data. Otherwise, use WebSearch and public tools to estimate.

For each competitor:

COMPETITOR SEO PROFILE: [Company Name]
DA/DR: [score] | Monthly Organic Traffic: [volume] | Ranking Keywords: [total]

TOP KEYWORDS: [keyword, position, volume, traffic share]

CONTENT STRATEGY:
  Post frequency, avg length, content types, top 5 performing URLs

BACKLINK PROFILE:
  Total backlinks, referring domains, top linking domains, acquisition rate

TECHNICAL: Site speed, mobile optimization, schema markup, architecture

Traffic Source Reality Check (do this BEFORE trusting the numbers)

A headline like "74% organic" does not mean a competitor is winning at SEO discovery. Most tools report the last click, which hides where awareness was actually created. Decompose before you draw conclusions:

1. Branded vs non-branded search. Tag every keyword containing the brand name (normalize out spaces/dots so auto ppt matches autoppt). Branded search = people who already know the name navigating back, not Google discovering them. 2. Navigational bucket = branded search + Direct traffic. Treat them as one: an existing audience returning, not new acquisition. 3. Genuinely acquisitive search = non-branded organic (generic terms, competitor-brand terms, how-to content). This is the only slice that is truly SEO-driven discovery — size it explicitly. 4. Reconcile your tools. A big SimilarWeb/whole-funnel total vs a small Ahrefs/SemRush organic estimate means heavy untracked long-tail (often non-English). Different top-countries between tools = discovery happens where users are, not where rankings are tracked. 5. Sanity-check the users are real. Bounce rate, pages/visit, time-on-site. Bot/incentivized traffic shows as ~100% bounce, 1 page, a few seconds.

Channel fingerprint → find the real top-of-funnel. Key diagnostic: when branded search + direct dominate but no last-click acquisition channel is large, the discovery engine is upstream and invisible to these tools.

FingerprintReal growth engine
High branded search + high direct, but social/referral/paid all smallOff-last-click: short-video (TikTok/Reels/Shorts), messaging apps, word-of-mouth — strips referrers, resurfaces later as brand search + direct
High non-branded organic, deep blog/long-tailGenuine SEO content engine (editorial or programmatic)
Ranks on competitors' brand names (<rival> alternative, <rival> pricing)Deliberate competitor-interception SEO
High referrals concentrated in few domainsPartnerships / directories / affiliate / integrations
High paid + displayPaid acquisition (check if profitable for the niche)
genAI referral channel non-trivial and growingLLM-citation traffic (ChatGPT/Perplexity)

Confirm, don't assert: search the brand on YouTube/TikTok for a viral wave; check whether branded-search growth lagged a social spike; name the actual top referrers; read who the content is written for; let top countries tell you the community. Only then write the "how they really grow" verdict.

Gap Analysis

  • Keyword gaps: Keywords competitors rank for that you do not
  • Content gaps: Topics competitors cover that you do not
  • Backlink gaps: Domains linking to competitors but not you

Step 4: Paid Advertising Analysis

COMPETITOR AD PROFILE: [Company Name]
Est. Monthly Spend: [range] | Platforms: [list] | Active Ads: [count]

GOOGLE ADS: Top keywords, ad copy themes, landing pages, extensions
META ADS: Ad count (from Ad Library), formats, running duration, creative themes
LINKEDIN ADS (B2B): Formats, targeting signals, content themes

Key questions: Which keywords bid most aggressively? What landing pages do ads point to (reveals best offers)? How long have top ads been running (long = profitable)? Running retargeting?

Step 5: Social Media Analysis

| Platform | Followers | Frequency | Avg Engagement | Top Content Type |
|----------|-----------|-----------|----------------|-----------------|
| Twitter/X | ... | ... | ... | ... |
| LinkedIn | ... | ... | ... | ... |
| Instagram | ... | ... | ... | ... |
| YouTube | ... | ... | ... | ... |

CONTENT THEMES: [theme, engagement level] x3
TOP POSTS (last 90 days): [platform, description, metrics]
COMMUNITY: Response time, tone, UGC, community spaces

Step 6: Email and Lifecycle Marketing

Sign up for every competitor's list, trial, and newsletter. Track:

  • Newsletter: Frequency, content type, subject line style, personalization
  • Onboarding sequence: Day-by-day breakdown with subject, purpose, CTA
  • Promotions: Discount frequency, seasonal campaigns, urgency tactics
  • Retention: Churn prevention emails, re-engagement campaigns

Step 7: Pricing and Positioning

Pricing Comparison

| Feature/Plan | You | Comp A | Comp B | Comp C |
|-------------|-----|--------|--------|--------|
| Free Tier | ... | ... | ... | ... |
| Starter | ... | ... | ... | ... |
| Pro | ... | ... | ... | ... |
| Enterprise | ... | ... | ... | ... |

Note model type, billing options, add-ons, discounts, price anchoring.

Positioning Map

Create a 2x2 map on the two most important dimensions (e.g., Price vs. Simplicity). Identify white space opportunities.

Messaging Extraction

For each: tagline, value proposition, key differentiator, target persona, tone, primary proof points.

Step 8: SWOT Analysis

For each major competitor:

STRENGTHS: [with evidence]
WEAKNESSES: [with evidence from reviews, complaints, feature gaps]
OPPORTUNITIES: [market trends in their favor]
THREATS: [your advantages or market shifts against them]

Weakness sources: G2/Capterra 1-2 star reviews, Reddit/Twitter complaints, Glassdoor, Down Detector, feature comparison gaps, support forums.

Step 9: Competitive Matrix

| Dimension | You | Comp A | Comp B | Comp C |
|-----------|-----|--------|--------|--------|
| Founded | ... | ... | ... | ... |
| Funding/Revenue | ... | ... | ... | ... |
| Target Market | ... | ... | ... | ... |
| Entry Price | ... | ... | ... | ... |
| Key Differentiator | ... | ... | ... | ... |
| DA | ... | ... | ... | ... |
| Monthly Traffic | ... | ... | ... | ... |
| G2 Rating | ... | ... | ... | ... |
| Feature 1-3 | Y/N | Y/N | Y/N | Y/N |

Step 10: Strategic Recommendations

STRATEGIC RECOMMENDATIONS
==========================
1. POSITIONING: Current vs. recommended position, key message, differentiation
2. CONTENT: Priority keywords, content types, topics to own
3. PAID: Keywords competitors miss, ad angles, channel priorities
4. PRODUCT: Features to build (from gaps), features to deprioritize
5. PRICING: Adjustments, packaging opportunities
6. QUICK WINS: 3 actions to implement this week

Ground every recommendation in specific competitor data. Prioritize by impact and ease of implementation.

Related skills

How it compares

Pick competitor-analysis over generic research skills when you need a structured multi-channel rival audit with SEO decomposition, pricing tables, and a deliverable competitive matrix rather than ad-hoc web summaries.

FAQ

What does competitor-analysis output?

competitor-analysis delivers SEO profiles, paid-ad audits, social media tables, email lifecycle notes, pricing comparison grids, per-rival SWOT analyses, a competitive matrix, a positioning map, and six prioritized strategic recommendation areas grounded in collected rival data.

Does competitor-analysis require paid APIs?

competitor-analysis works without API keys using web search and manual research. Optional Semrush, SerpAPI, and ScrapingBee keys enrich domain ranks, real-time SERP ads, and JavaScript-heavy competitor pages when developers supply them.

When should an agent load competitor-analysis?

Load competitor-analysis when a developer asks to analyze competitors, benchmark rivals, map the competitive landscape, run SWOT, compare competitor pricing or SEO, or build a competitive matrix before scoping a new product.

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