Marketing & SEO Prompts

Persona-Based Keyword Mining

Role-play as your target customer in a specific frustrating moment to surface high-intent keywords competitors typically miss.

FreeClaudeChatGPT
Best for

Marketers and SEOs who want to find high-intent, long-tail keywords rooted in real customer frustration, rather than generic head-term keywords.

Suitable LLM groups
Frontier
Download Prompt.md
Prompt
Role-play as {{specific_persona_and_situation}}. Write out exactly what you would type into ChatGPT or Google to solve this problem in this moment, including 8-10 realistic search queries or prompts. For each one, briefly note the underlying frustration or goal driving it.

How to use

  1. Replace {{specific_persona_and_situation}} with a vivid, specific persona and moment (not just a job title, but a situation with emotional stakes).
  2. Run the prompt and collect the resulting search queries as long-tail keyword candidates.
  3. Cross-reference the queries with a keyword tool to check search volume and difficulty.
  4. Use the noted frustrations to shape headlines and intros, not just keyword targeting.

Example input

Role-play as a project manager at 2am who just discovered their team missed a client deadline because of a workflow bottleneck. Write out exactly what you would type into ChatGPT or Google to solve this problem, including 8-10 realistic search queries or prompts, with the underlying frustration noted for each.

Example output

1. 'why do my team's tasks keep getting stuck in review' — frustration: recurring bottleneck with no clear cause. 2. 'best project management tool for approval bottlenecks' — goal: find a tool-based fix fast. 3. 'how to tell a client we missed a deadline' — frustration: dread of a difficult conversation. 4. 'workflow automation for task approvals' — goal: eliminate manual handoffs. ... (continues)

Customization tips

  • Try running the same persona at different times of day or stages of their problem to surface different intent stages.
  • Ask for queries split into 'urgent/emotional' vs 'research/comparison' buckets.
  • Follow up by asking the model to group the queries into content cluster themes.

Tags

#keyword research#persona research#seo#search intent

FAQ

What is this prompt for?
It surfaces long-tail, high-intent keywords by simulating a specific customer's real, emotionally charged moment rather than asking for keywords directly.
How specific should the persona be?
Very specific. Include a role, a situation, and an emotional state (e.g. 'stressed', 'confused', 'frustrated') for the richest results.
What's a limitation of this prompt?
The queries are simulated, not pulled from real search data, so validate them against actual keyword volume before building a full content strategy around them.
How is this different from asking for keywords for a topic?
Asking directly for 'keywords for X' tends to return generic, low-intent terms. This prompt forces the model to think from the searcher's actual moment of need, surfacing more specific and convertible terms.
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