Keyword Research

skill

Discover and cluster keywords with intent and difficulty signals from the web into a file.

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Keyword Research

Discover and cluster keywords with intent and difficulty signals pulled from the live web into a saved file.

When to use

  • A content or SEO (search engine optimization) plan needs a fresh list of target keywords for a topic, product, or competitor space.
  • You need to expand a seed keyword into related terms, questions, and long-tail variants grouped by intent.
  • Someone asks for a content calendar or brief and there is no existing keyword research file to build from.

Tools

  • browser-search: run SERP (search engine results page) queries against seed keywords and topic phrases to surface related searches, autocomplete-style suggestions, and competing pages.
  • browser-navigate: open the search result pages, competitor articles, and keyword-tool pages returned by search.
  • browser-extract: pull the visible keyword lists, "people also ask" questions, related searches, headings, and on-page copy from the pages you navigate to.
  • write-file: save the clustered keyword list, with intent and difficulty notes, to a file for downstream content work.

Playbook

  1. Confirm the seed topic, target audience, and any exclusions with the task details before starting.
  2. Run an initial query for the seed keyword using browser-search to see the current SERP landscape.
  3. Use browser-navigate to open the top-ranking pages and any "related searches" or question panels shown in the results.
  4. Use browser-extract on each opened page to capture headings, question phrasing, and repeated terms that signal related keywords.
  5. Repeat browser-search for 3-5 keyword variants (synonyms, "how to", "best", "vs", buyer-intent phrases) to widen coverage.
  6. Group the collected terms into clusters by intent (informational, commercial, navigational, transactional) and note apparent difficulty based on how many high-authority pages dominate each SERP.
  7. Draft the final table (keyword, cluster, intent, estimated difficulty, source URL) as markdown or CSV text.
  8. Save the draft with write-file to a clearly named keyword-research file.
  9. Summarize the cluster count and top opportunities when completing the task.

Failure modes

  • Search results return 401/403 or a blocked/consent page: treat as a dead end for that query, note it, and continue with the next seed term via browser-search.
  • browser-extract returns an empty or near-empty result: re-check you navigated to the right URL and that the page finished loading before extracting; retry once.
  • Rate limited or repeatedly blocked by a search engine: back off, reduce query frequency, and record the limitation via update-memory so future runs know to pace themselves.
  • A results page layout has changed and expected sections (e.g., related searches) are missing: fall back to plain browser-search queries on narrower phrasing instead of relying on page structure.

Done when

  • A keyword-research file exists (via write-file) containing clustered keywords with intent and difficulty notes.
  • Each cluster has at least one supporting source URL captured during research.
  • The task is completed with a summary of top clusters and recommended priority terms.