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keyword-research

Turn a topic or URL into a keyword plan using Google search volumes, advertising cost per click, and existing rankings. Group related terms into page topics and prioritize where to create or improve content.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Keyword research from a seed topic — ideas, real Google volume/CPC, intent, difficulty, clustered into a plan. Use when asked to "find keywords", "keyword research for X", "what should I rank for", or "build a keyword plan".

Ryze-AI-Adgent/open-seo-mcp-skills

실행 점수 미검증

설치 방법 보기

이럴 때 유용합니다

  • Find keyword ideas from a topic or URL
  • Plan related articles around a central topic
  • Choose between new pages and existing page improvements
  • Compare search demand, trends, and advertising click costs

포함된 파일(1)

  • SKILL.md2.3 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Keyword Research

Requires

The free Ryze MCP connector (https://connector.get-ryze.ai/mcp). Claude Code: claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp. claude.ai / Desktop / Cursor: add it as a custom connector with the same URL. Setup: https://www.get-ryze.ai/how-to-connect-claude-to-google-meta-ads-mcp

Seed → ideas → metrics → clusters. Volumes come from Google Ads planner data (the source everyone else resells), enriched with DataForSEO intent/difficulty.

Workflow

  1. Expand the seed. google_ads__generateKeywordIdeas with the seed keyword(s) and/or the user's URL. Collect up to ~200 ideas.
  2. Metrics. google_ads__generateKeywordHistoricalMetrics on the candidate list — monthly volume, competition, CPC range, 12-month trend.
  3. Intent + difficulty (optional enrich). If the workspace exposes DataForSEO tools, call the Labs keyword_overview endpoint for the top ~50 (search intent, keyword difficulty, SERP features). Request shape: native__get_provider_docs provider dataforseo. Skip silently if unavailable — Google metrics alone are enough for a v1 plan.
  4. What they already rank for. google_search_console__runRawSearchAnalytics (dimension query, filtered to the topic) — mark keywords the site already has positions for; those are optimize-not-create.
  5. Cluster. Group by intent and topic into content clusters: pillar + supporting pages. For each cluster: target keyword, supporting keywords, total volume, intent, existing page (if any) or "new page".

Output

One table per cluster (keyword, volume, CPC, intent, current position if any), then a ranked plan: which clusters to attack first and why (volume × winnability — favor clusters where the site already has striking-distance positions). Plain language, no filler.

Rules

  • Never invent volumes. If a metrics call fails, show the keyword without numbers and say why.
  • CPC belongs in the output — it tells the user what the traffic is worth, and this doubles as an ads negative-keyword source.

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