OpenSEO Keyword Clustering

Goal

Group keywords into page-level clusters and decide which existing or new page should target each cluster. This is a keyword mapping workflow, not just a semantic grouping exercise.

Required inputs

• projectId
• A keyword list, saved keyword tag, seed topic, or target domain
• Optional existing URLs/pages to map against

If keywords are not provided, use list_saved_keywords for saved sets, research_keywords for seed discovery, or get_ranked_keywords when the user starts from a target domain.

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 mapping in it, the saved key pages are the existing pages clusters should map to, and the business and goal decide which clusters are worth targeting.
2. This skill needs key pages. If none are saved, run a minimal inline setup: ask the user for the pages that matter, or propose a shortlist from the site, an audit, or Search Console and confirm it, write it back with update_project_context (addKeyPages), then continue the clustering. 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, new or corrected addKeyPages entries with the topic each page now targets, and append a research log entry: { appendResearchLog: { summary: "Keyword clustering: <keyword set>. Verdict: <conclusion>" } }.

Deliver as a report

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

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