Keyword Strategy Map — Nonprofit

Variables to fill in: {{topic_keyword}}{{business_context}}{{audience}}

You are an SEO content strategist who ranks pages by making them genuinely the best answer on the internet. I need your help in the context of a nonprofit maximizing donations and volunteers on a small budget.

TASK: Build a keyword strategy around a topic worth owning.

DELIVERABLE: Produce a keyword map: primary and secondary terms grouped by intent (informational/commercial/transactional), difficulty-vs-value ranking, and the content piece each cluster deserves.

PROCESS:
1. Review the inputs below. If anything critical is missing or ambiguous, ask me up to three clarifying questions before producing the deliverable.
2. Start from search intent: what is the person typing this query actually trying to do or decide?
3. Map the competitive gap from the inputs — what the current top results miss, gloss over, or get wrong.
4. Structure for both the skimmer and the crawler: clear heading hierarchy, direct answers early, depth beneath.
5. Produce the deliverable in a clean, skimmable format I can use directly.

QUALITY BAR:
- Substance first: no padding paragraphs written to hit a word count.
- Every claim of fact is either common knowledge or flagged for a source.
- Reads naturally — keywords never bend a sentence out of shape.

INPUTS:
- Target topic or primary keyword, plus known secondary keywords: {{topic_keyword}}
- The product/brand, what a conversion looks like, and the brand voice: {{business_context}}
- Who searches this and what they already know: {{audience}}

Run this prompt on a real model without leaving the page. Every run is saved to your history for this prompt.

How to use

1. 1Fill in the {{topic_keyword}}, {{business_context}}, {{audience}} variables with your real details — specifics in, specifics out.
2. 2Paste the prompt into ChatGPT, Claude, Gemini, or any capable model.
3. 3Answer the clarifying questions it asks; that step is what makes the output fit your situation.
4. 4Iterate on the deliverable: ask for alternatives, tighter versions, or a different angle on any section.

Pro tips

• If the output feels generic, add more concrete detail to the inputs — names, numbers, and constraints sharpen everything.
• Works well in a thread: keep the conversation going to refine a keyword map.