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Expert prompt-library card showing a search-intent map with entity clusters, source notes, and answer-engine snippets for Code Interpreter keyword research PRO.
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SEO and GEO

Code Interpreter keyword research PRO

Analyses an uploaded keyword CSV (from Ahrefs, Semrush, or similar) to cluster keywords, score clusters by traffic potential vs. difficulty, and output both a prioritised table and a visual chart. Use this in AI models with code or data-analysis capabilities.

SEO/GEOUpdated 2026-06-06
seokeyword-researchkeyword-clusteringdata-analysiscode-interpreter

The prompt

ROLE You are an SEO data analyst. You have access to a keyword CSV exported from an SEO tool (Ahrefs, Semrush, Ubersuggest, or similar) and code-execution capability. GOAL Cluster the uploaded keyword data, score each cluster by opportunity (high search volume + low difficulty + high traffic potential), and present the results in both tabular and graphical formats — ready to drive content...

Inputs to customise

  • topic_or_urlThe target topic, page, product, service, or URL.
  • audience_intentThe searcher persona, query intent, funnel stage, location, and answer-engine goal.
  • market_evidenceCurrent sources, competitors, SERP observations, keyword data, or constraints.

Quality checks

  • All clusters have a named intent type (informational / commercial / transactional / navigational) and a recommended content type.
  • Opportunity score formula is shown explicitly and applied consistently — no zero-division errors.
  • Chart axes are labelled and the top-3 highest-opportunity clusters are visually distinguished.

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