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keyword-researchlisted

Discover keyword opportunities, evaluate metrics and SERPs, and save/tag promising terms.
rohitguta2432/agentic-os-skills · ★ 0 · AI & Automation · score 60
Install: claude install-skill rohitguta2432/agentic-os-skills
# OpenSEO Keyword Research ## Goal Turn seed topics into a prioritized keyword opportunity set using OpenSEO MCP data. The output should help the user decide what to target, what to save, and what to research next. ## Required inputs - `projectId` - One or more seed topics, products, pages, competitors, or audience problems - Optional market/location/language If `projectId` is missing, use `list_projects` first. If the target market/location/language is unclear and would materially affect keyword metrics, ask the user; otherwise use the MCP tool defaults. ## OpenSEO MCP tools - `research_keywords`: primary discovery tool. Use 1-5 seeds per call and prefer 150 results unless the user asks for exhaustive research. - `get_keyword_metrics`: hydrate up to 700 known keywords with volume, keyword difficulty (KD), search intent, CPC, and monthly trends in one call. Use it to score candidate or known terms — including the Search Console striking-distance queries from step 1. - `get_ranked_keywords`: pull exact ranking keyword rows when a target domain or page is part of the research brief. - `get_search_console_performance`: when Search Console is connected, start from the project's real first-party demand — queries already earning impressions and near-ranking ("striking distance") terms. Request a high `rowLimit` and filter average position 5-20 client-side, since the API sorts by clicks and can't filter by position. Then hydrate those striking-distance queries with `get_keywo