Competitive Landscape

OpenSEO Competitive Landscape

Goal

Answer: "Who is winning this SEO market, what content is working for them, and where are the openings?"

Use this when the user wants a market-level view across several competitors. For a deep dive on one domain, use competitor-analysis.

Required inputs

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

Project context

The project-context tools are free and shared with the app and other agents.

1. Call get_project_context first and ground the market read in it — the saved competitors are the starting roster, and the business and positioning decide who counts as a competitor.
2. This skill needs competitors. If none are saved, run a minimal inline setup: ask the user who they compete with, or infer a shortlist from find_serp_competitors and the site and confirm it, write it back with update_project_context (addCompetitors), then continue the landscape work. Never front-load the full interview; suggest seo-project-setup at the end for the rest.
3. Before spending credits, check the research log. If the same research ran within the last 30 days, reuse that result and say so instead of re-buying it.
4. On finish, write back what is durable with update_project_context — every confirmed competitor via addCompetitors with a short note on why they matter, plus removeCompetitors for entries you added that turned out irrelevant (leave rows the user added alone) — and append a research log entry: { appendResearchLog: { summary: "Competitive landscape: <market/query set>. Verdict: <conclusion>" } }.

Deliver as a report

Deliver through the seo-report skill, saving with skill: "competitive-landscape". If that skill is not available, say so and stop before writing HTML.

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

h1: the market or category.

If a report template applies (see seo-report), its sections and tone replace this list.

Sections in this order:

1. The market read — one or two opening sentences naming the leaders, the most winnable area, and the biggest barrier.
2. Who is winning — a table of domain, type, organic footprint, winning themes, and the gap. Label domain types explicitly.
3. Why they win — one finding per pattern, the Fix pointing at what the user should do instead.
4. Gaps and openings — a table of theme, demand, and who currently owns it, plus a bar chart when a handful of themes carry the demand.
5. What to do next — an ordered list ending in the next workflow to run: competitor analysis, keyword clustering, or a content brief.
6. How this report was made — opens with the skill link line from seo-report, pointing at https://openseo.so/docs/skills/competitive-landscape ("OpenSEO Competitive Landscape skill"), then the query set used, and a note calling the read directional when the query set was small.

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.