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Skills/every-app/open-seo/competitor-analysis
competitor-analysis logo

competitor-analysis

every-app/open-seo
778 installs7K stars
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Installation

npx skills add https://github.com/every-app/open-seo --skill competitor-analysis

Summary

Analyze one competitor's organic footprint, ranking keywords, content themes, backlinks, and gaps.

SKILL.md

OpenSEO Competitor Analysis

Goal

Analyze one competitor deeply enough to decide what to learn from, avoid, counter-position against, or outrank.

Use this for a named competitor. For identifying the market leaders first, use competitive-landscape.

Required inputs

  • projectId
  • Competitor domain
  • User's domain when comparison is requested
  • Optional topic/category/location/language

OpenSEO MCP tools

  • get_domain_overview: baseline organic traffic and keyword count.
  • get_search_console_performance: when comparing to the user's own domain and Search Console is connected, use it as the first-party baseline (real clicks/impressions/CTR/position) instead of estimating the user's own performance from third-party data.
  • get_ranked_keywords: exact keyword, URL, rank, intent, traffic, CPC, and SERP-type rows for the competitor domain or page.
  • get_backlinks_overview: backlink/referring-domain profile.
  • find_serp_competitors: validate whether the named competitor is a real search competitor across the target keyword set.
  • search_local_businesses, get_local_serp_results, and get_google_business_questions: use for local SEO competitors when Maps/local-pack visibility, nearby businesses, categories, or Google Q&A matter.
  • get_serp_results: validate direct head-to-head SERPs for important keywords.
  • research_keywords: expand gaps or category terms when needed.

Workflow

  1. Call get_domain_overview for the competitor, passing provided location/language when supported.
  2. If comparing to the user, call get_domain_overview for the user's domain too — and if Search Console is connected, get_search_console_performance for the user's real baseline.
  3. Call get_ranked_keywords for the competitor. Use filters like maxRank, minSearchVolume, excludeBrandTerms, and resultTypes to keep rows relevant.
  4. If comparing to the user, call get_ranked_keywords for the user's domain/page too, or use get_serp_results for the shared terms when a lighter check is enough.
  5. For local SEO, use search_local_businesses and get_local_serp_results around the relevant business location(s) before drawing local-pack conclusions. Add get_google_business_questions only when Q&A evidence matters.
  6. Use find_serp_competitors when the competitor was supplied by the user but its search overlap is unclear.
  7. Group competitor keywords into themes:
  • Product/category terms
  • Alternatives/comparisons
  • Templates/tools/calculators
  • Educational guides
  • Branded demand
  • Local/neighborhood terms when relevant
  1. Call get_backlinks_overview for the competitor, especially if authority appears to explain rankings. Continue without backlink evidence if it is unavailable.
  2. Use get_serp_results for important shared or target keywords to compare positioning, passing provided location/language when supported.
  3. Produce an actionable plan:
  • What they are doing well
  • Where they are vulnerable
  • Which pages/keywords to pursue
  • What to avoid copying

Output format

Start with:

  • Competitor snapshot
  • Biggest lesson
  • Best opportunity to beat them

Then include:

AreaCompetitor patternEvidenceOpenSEO opportunity

Include sections for:

  • Top keyword themes
  • Content/page types working for them
  • Backlink/authority notes
  • Head-to-head SERP observations
  • Priority actions for the user

Guardrails

  • Do not treat all competitor keywords as desirable. Filter for business fit.
  • Separate evidence from inference.
  • Do not infer competitor page/content-type patterns from keyword rows alone; use SERP or web evidence for page-level claims.
  • For local SEO, do not infer Maps/local-pack strength from national organic domain metrics alone; use local business and local SERP tools when the location is known or reasonably discoverable.
  • Do not recommend copying content; recommend a stronger angle or better answer to the same intent.
  • If the user's domain is unavailable, frame the analysis as competitor-only.

Score

0–100
65/ 100

Grade

C

Popularity17/30

778 installs — growing adoption. Source repo has 7,095 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Competitor Analysis skill score badge previewScore badge

Markdown

[![Competitor Analysis skill](https://www.claudemarket.ai/skills/every-app/open-seo/competitor-analysis/badges/score.svg)](https://www.claudemarket.ai/skills/every-app/open-seo/competitor-analysis)

HTML

<a href="https://www.claudemarket.ai/skills/every-app/open-seo/competitor-analysis"><img src="https://www.claudemarket.ai/skills/every-app/open-seo/competitor-analysis/badges/score.svg" alt="Competitor Analysis skill"/></a>

Competitor Analysis FAQ

How do I install the Competitor Analysis skill?

Run “npx skills add https://github.com/every-app/open-seo --skill competitor-analysis” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Competitor Analysis skill do?

Analyze one competitor's organic footprint, ranking keywords, content themes, backlinks, and gaps. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Competitor Analysis skill free?

Yes. Competitor Analysis is a free, open-source skill published from every-app/open-seo. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Competitor Analysis work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Competitor Analysis works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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