competitor-analysis
Skill1.2k starsChanged 20 days agoMITView on GitHub
Analyze one competitor's organic footprint, ranking keywords, content themes, backlinks, and gaps.
We split this skill into the rules it gives an agent
12 rules. 0 are common, 4 are distinctive, and 8 are very specific to this project.
0
Common
Most of the 45 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
8
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 12
Use this for a named competitor.
- Very specific: line 34
Call get_domain_overview for the competitor, passing provided location/language when supported.
- Very specific: line 35
If comparing to the user, call get_domain_overview for the user's domain too — and if Search Console is connected, …
- Very specific: line 36
Call get_ranked_keywords for the competitor.
- Very specific: line 37
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 …
- Very specific: line 39
Use find_serp_competitors when the competitor was supplied by the user but its search overlap is unclear.
- Very specific: line 47
Call get_backlinks_overview for the competitor, especially if authority appears to explain rankings.
- Very specific: line 48
Use get_serp_results for important shared or target keywords to compare positioning, passing provided location/language when supported.
- Distinctive: line 78
Do not treat all competitor keywords as desirable.
- Distinctive: line 80
Do not infer competitor page/content-type patterns from keyword rows alone.
- Distinctive: line 82
Do not recommend copying content.
- Distinctive: line 83
If the user's domain is unavailable, frame the analysis as competitor-only.
“Common” is measured: kept by at least 6 in 10 of the 45 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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, andget_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
- Call
get_domain_overviewfor the competitor, passing provided location/language when supported. - If comparing to the user, call
get_domain_overviewfor the user's domain too — and if Search Console is connected,get_search_console_performancefor the user's real baseline. - Call
get_ranked_keywordsfor the competitor. Use filters likemaxRank,minSearchVolume,excludeBrandTerms, andresultTypesto keep rows relevant. - If comparing to the user, call
get_ranked_keywordsfor the user's domain/page too, or useget_serp_resultsfor the shared terms when a lighter check is enough. - For local SEO, use
search_local_businessesandget_local_serp_resultsaround the relevant business location(s) before drawing local-pack conclusions. Addget_google_business_questionsonly when Q&A evidence matters. - Use
find_serp_competitorswhen the competitor was supplied by the user but its search overlap is unclear. - Group competitor keywords into themes:
- Product/category terms
- Alternatives/comparisons
- Templates/tools/calculators
- Educational guides
- Branded demand
- Local/neighborhood terms when relevant
- Call
get_backlinks_overviewfor the competitor, especially if authority appears to explain rankings. Continue without backlink evidence if it is unavailable. - Use
get_serp_resultsfor important shared or target keywords to compare positioning, passing provided location/language when supported. - 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:
| Area | Competitor pattern | Evidence | OpenSEO 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.
Trending
More talk lately.thin dataabout the whole repository
Who's talking about jwuthri-cloud/Tracely-ai
The biggest 1 of 1 mention linking to the repository that our crawl found. Each line is their own headline.
Other versions60 projects use a version of this.
Word for word · 4
- Jwuthri/Tracely-ai★ 1.5k100% same
- VladSez/easy-invoice-pdf★ 1.1k100% same
- petera2c/simple-table★ 231100% same
- IsaacBell/ai-marketing-toolkit★ 0100% same
Edited · 5
- every-app/open-seo★ 26k58% same
- kid7st/agenticseo★ 226% same
- ventra-rocket/EchoSEO★ 297% same
- winsley-jeune/harborrank-skills★ 130% same
- ictlondon/kraftskills★ 074% same
Wrote their own version · 51
- langchain-ai/deepagents★ 31ksame name
- browserbase/agent-browse★ 3.7ksame name
- appeeky/aso-skills★ 2.2ksame name
- Eronred/aso-skills★ 2.2ksame name
- indranilbanerjee/digital-marketing-pro★ 920same name
- OpenClaudia/openclaudia-skills★ 724same name
- vivy-yi/xiaohongshu-skills★ 455same name
- itseffi/agentic-os★ 114same name
- cognyai/claude-code-marketing-skills★ 106same name
- Infinite-Labs-AI/infinite-skills★ 43same name
41 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects with it also use app-marketing-context, metadata-optimization and 3 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
appeekySkillapp-marketing-context
When the user wants to create or update their app marketing context document. Also use when the user mentions "app context", "marketing brief", "app positioning", or when starting any ASO or app marketing project. This is the foundation skill — all other skills check for this context first.
Also in 5 projects that use this
appeekySkillmetadata-optimization
When the user wants to optimize App Store metadata — title, subtitle, keyword field, or description. Also use when the user mentions "optimize my title", "ASO metadata", "keyword field", "character limits", "app description", or "write my subtitle". For keyword discovery, see keyword-research. For full ASO audits, see aso-audit.
Also in 5 projects that use this
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