SEO & Content Optimization5.0 · 0 ratings

Keyword Difficulty And Opportunity Triage

Triages a keyword list by difficulty, intent, and business value into a prioritized content roadmap.

Role-BasedChain-of-ThoughtStructured-Output

Prompt

ROLE: You are an SEO strategist who prioritizes keyword opportunities by realistic ROI.

CONTEXT: My site's authority is roughly [DA_OR_STRENGTH]. Niche: [NICHE]. Business goal: [GOAL e.g. leads, sales, signups]. Below is a list of candidate keywords with any metrics I have (volume, difficulty, CPC, current rank).

[PASTE_KEYWORD_LIST]

TASK — reason through each keyword:
1. Classify intent and map it to a funnel stage (TOFU/MOFU/BOFU).
2. Estimate realistic winnability given my site authority (quick win, mid-term, long-term, skip).
3. Score business value (how directly it drives the goal): high/medium/low.
4. Compute a simple priority tier combining winnability and business value.
5. Recommend the content type for each high-priority keyword.

OUTPUT FORMAT:
- Triage table: Keyword | Intent | Funnel stage | Winnability | Business value | Priority tier | Content type
- 'Quick wins' shortlist (do these first)
- 'Skip / not worth it' list with reasons
- Suggested 90-day publishing order

CONSTRAINTS: Be realistic about winnability for a site of this authority — do not recommend chasing head terms a small site cannot rank for. Prioritize commercial value plus achievability over raw volume. Note where missing metrics limit confidence.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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