Generate a keyword research set organized by intent, funnel stage, and topic cluster — with volume estimation guidance and content mapping.
BusinessProduct Or ServiceAudienceGoal
chatgptthinking_mediummulti_perspective
chatgpt variant
Claude-optimized prompt structure shaped for chatgpt.
# Task
Generate a keyword research starter set with intent mapping, funnel staging, and content opportunities.
# Inputs- Business: {business}- Product or service: {product_or_service}- Audience: {audience}- Goal: {goal}# Keyword categories (generate all)1. **Problem-aware** (8-10 keywords): What the audience searches when they feel the pain but don't know solutions.
2. **Solution-aware** (8-10): Searches comparing approaches or evaluating categories.
3. **Product-aware** (5-8): Brand, competitor, and "best X for Y" searches.
4. **Transactional** (5-8): High-intent searches (pricing, demo, trial, buy, sign up).
5. **Long-tail questions** (5-8): Specific questions the audience asks (how to, what is, why does).
# For each keyword
Provide:
- The keyword phrase
- Search intent: Informational / Commercial / Navigational / Transactional
- Funnel stage: TOFU / MOFU / BOFU
- Estimated competition: Low / Medium / High (based on keyword specificity and commercial intent)
- Suggested content type: blog post, landing page, comparison page, FAQ, tool, etc.
# Clustering
Group related keywords into 3-5 topic clusters. Name each cluster and suggest one pillar page topic per cluster.
# Output1. Keyword table: Keyword | Intent | Funnel | Competition | Content Type
2. Topic clusters with pillar page suggestions
3. Quick wins: 3-5 keywords that combine low competition + high relevance
4. Gaps: 2-3 search areas where you'd need more data to assess
claudethinking_mediummulti_perspective
claude variant
Claude-optimized prompt structure shaped for claude.
<context><business>{business}</business><product_or_service>{product_or_service}</product_or_service><audience>{audience}</audience><goal>{goal}</goal></context><task>Generate a keyword research set with intent mapping, funnel staging, and content opportunities.</task><instructions>
Categories: problem-aware (8-10), solution-aware (8-10), product-aware (5-8), transactional (5-8), long-tail questions (5-8).
Per keyword: phrase, intent (Info/Commercial/Nav/Transactional), funnel (TOFU/MOFU/BOFU), competition (Low/Med/High), suggested content type.
Group into 3-5 topic clusters with pillar page suggestions.
</instructions><output>
Return: keyword table, topic clusters, quick wins (3-5 low competition + high relevance), gaps (2-3 areas needing more data).
</output>
geminithinking_mediummulti_perspective
gemini variant
Claude-optimized prompt structure shaped for gemini.
Business: {business}
Product or service: {product_or_service}
Audience: {audience}
Goal: {goal}
Generate keywords in 5 categories: problem-aware (8-10), solution-aware (8-10), product-aware (5-8), transactional (5-8), long-tail questions (5-8).
Per keyword: phrase, intent, funnel stage, competition estimate, suggested content type.
Group into 3-5 topic clusters with pillar pages.
Based on the entire content above, return:
1. Keyword table
2. Topic clusters with pillar pages
3. Quick wins (3-5 low competition + high relevance)
4. Gaps (2-3 areas needing data)
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