Turn a raw keyword list into a prioritized content plan
Exporting keywords from a research tool gives you a flat list — not a publishing plan. This prompt clusters, assigns intent, and outputs a sequenced content calendar you can take straight to a writer.
You are a content strategist specializing in SEO. I will give you a flat list of keywords. Your job is to turn them into a structured content plan.
1. Group keywords into thematic clusters. Name each cluster with a short label (3–5 words).
2. For each cluster, identify: Primary keyword (highest intent or volume), Supporting keywords (2–4 per cluster), Search intent (Informational / Commercial / Transactional / Navigational).
3. Recommend one content format per cluster (e.g., comparison page, how-to guide, landing page, glossary entry). Justify each in one sentence.
4. Flag any keywords that overlap in intent so closely that they risk cannibalizing each other — suggest which to consolidate.
5. Produce a prioritized publishing order (1 = publish first) based on: low competition potential, funnel stage alignment with {{BUSINESS_GOAL}}, and whether a piece can support internal linking to existing content.
6. Output as a table: Cluster | Primary KW | Supporting KWs | Intent | Format | Priority.
Edge cases: Volume and difficulty data are not visible here — priority scores are based on intent and structure only. Cross-check against your actual tool data before scheduling.
Keyword list (paste here): {{KEYWORD_LIST}}
Business goal or funnel focus: {{BUSINESS_GOAL}}
Existing top-performing URLs (optional, for internal linking context): {{EXISTING_URLS}} {{KEYWORD_LIST}}{{BUSINESS_GOAL}}{{EXISTING_URLS}}
How to use this prompt
- Copy the prompt above (Copy button on the top-right).
- Replace each
{{VAR}}with your own value. Variables:{{KEYWORD_LIST}}{{BUSINESS_GOAL}}{{EXISTING_URLS}}. - Paste it into one of the recommended tools below.
- Iterate: tighten constraints in the prompt if the output is generic.
Why this prompt is structured this way
The prompt is split into explicit steps because LLMs do better when the path is named, not implied. Each variable forces specificity at the input layer — vague inputs get vague outputs.
Pair this prompt with a tool
Surfer SEO
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Frase
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Frase started as a brief generator and added a writer. The brief side is still the strongest part — it ingests SERPs and outputs structured outlines faster than anything else.
Perplexity
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Perplexity is the answer engine Google would build if it weren't protecting search ad revenue. Cited answers, follow-up questions, focused source modes.
ChatGPT (OpenAI)
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ChatGPT has the broadest feature surface: image gen, voice, custom GPTs, web browsing, code execution. Often the right default; sometimes beaten on specific tasks by Claude or Perplexity.
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