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keyword-clustering

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About keyword-clustering

K

keyword-clustering

Cluster keywords by intent and map them to existing or proposed pages

Keyword clustering is an agent skill that groups search keywords by intent and maps each group to the page that should target it. It is a keyword mapping workflow rather than a simple semantic grouping exercise. For each cluster, the skill decides whether an existing page should target it or whether a new page should be proposed. The skill can start from a keyword list you provide, from a saved keyword tag in OpenSEO, from a seed topic, or from a target domain. If you do not provide keywords, it uses the OpenSEO tools to list saved keyword sets, to research keywords from a seed, or to pull ranked keywords for a domain. You can also supply the URLs and pages that already exist on your site, so the skill can map clusters against them. Its required input is an OpenSEO project ID. The skill uses the project-context tools shared with the OpenSEO app and other agents. It is published by every-app on skills.sh under the open-seo repository, and it is one of several OpenSEO skills alongside keyword research, competitor analysis and competitive landscape. It is intended for content and SEO teams who need a clear plan for which page answers which search intent. The skills.sh listing shows Gen Agent Trust Hub: Pass, Socket: Pass and Snyk: Pass.

View keyword-clusteringAll AI Skills apps
Price
Free
Made by
every-app
Category
AI Skills
Website
github.com/every-app/open-seo/keyword-clustering