OpenSEO Competitive Landscape

Goal

competitor-analysis

Required inputs

• projectId

• Topic, seed keywords, market/category, or user's domain
• Optional known competitors
• Optional location/language

OpenSEO MCP tools

• research_keywords

  : discover representative market queries.

• get_keyword_metrics

  : validate known query sets with volume, difficulty, intent, and trends.

• get_serp_results

  : identify recurring ranking domains across target queries.

• find_serp_competitors

  : compare domains competing across supplied keywords; use this before manual SERP counting when a keyword set is available.

• get_domain_overview

  : size organic footprint for candidate leaders.

• get_search_console_performance

  : when the user's own domain is in the comparison and Search Console is connected, anchor their position with first-party clicks/impressions/CTR rather than third-party estimates.

• get_ranked_keywords

  : find exact ranking keywords, URLs, ranks, intents, and SERP result types for leaders.

• get_backlinks_overview

  : compare backlink/referring-domain strength where relevant.

• search_local_businesses

  ,

  get_local_serp_results

  , and

  get_google_business_questions

  : use for local SEO markets where proximity, Maps rankings, business categories, reviews, or Google Q&A affect who is winning.

Workflow

1. Define the market query set:
   • Use provided keywords, or call

     research_keywords

     to build 5-10 representative queries.
   • Include mixed intent: informational, commercial, comparison, and tool/software terms when applicable.
   • For local SEO, include neighborhood/city/service-area queries and identify the priority locations or coordinates.
2. If the query set is already known, use

   get_keyword_metrics

   to validate relative demand and difficulty and

   find_serp_competitors

   to identify recurring domains at scale.
3. For local SEO, call

   search_local_businesses

   and

   get_local_serp_results

   for the highest-priority location(s) before synthesizing winners. Use

   get_serp_results

   as a complement for organic pages, not as the only local evidence.
4. Call

   get_serp_results

   for representative queries when live SERP composition, ranking URLs, or SERP features need inspection. Send at most 10 queries per call.
5. Identify recurring domains and group them by type:
   • Direct product competitors
   • Publishers/media
   • Marketplaces/directories
   • Communities/forums
   • Documentation/resources
6. For the strongest recurring domains, call

   get_domain_overview

   ; default to the top 3-5 domains before expanding.
7. For direct competitors and relevant publishers, call

   get_ranked_keywords

   .
8. Use

   get_backlinks_overview

   when backlink authority appears important or the user asks why a domain is winning. Backlinks may be unavailable if the account has not enabled that data; continue with SERP/domain evidence if it fails.
9. Synthesize patterns: content types, themes, SERP formats, local-pack signals, authority advantages, and underserved angles.

Output format

• Market leaders
• Most winnable opportunity area
• Biggest barrier to ranking

• Query set used
• Content formats that are working
• Keyword/theme gaps
• Backlink or authority observations
• Recommended next workflows: competitor analysis, keyword clustering, or content brief

Guardrails

• Distinguish SEO competitors from business competitors.
• Do not overstate exact traffic when OpenSEO returns estimates.
• If using a small query set, call the result directional.
• Do not assume a publisher is a product competitor; label domain types clearly.
• For local markets, distinguish organic-page winners from Maps/local-pack winners.