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/keyword-research

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".

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open-seo-mcp-skills
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Install
$ npx -y skills add Ryze-AI-Adgent/open-seo-mcp-skills --skill keyword-research --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/keyword-research

Context preview

The summary Claude sees to decide when to auto-load this skill.

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".

SKILL.md

keyword-research.SKILL.md
name: keyword-research
description: 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".

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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Ships withopen-seo-mcp-skills

Open-source SEO + GEO skills for Claude on a free SEO MCP server (the Ryze connector) — keyword research, rank tracking, site audits, backlinks, competitor gaps, AI visibility — running on your own Search Console, Analytics and ads data through the Ryze MCP,

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

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