geo-prompt-researcher
Discover high-value AI search prompts your target audience uses on ChatGPT, Perplexity, Gemini, and Claude. Research and generate comprehensive prompt lists for GEO (Generative Engine Optimization) strategy, including discovery, comparison, how-to, definition, and recommendation prompts. Use whenever the user mentions researching AI search queries, finding GEO prompts, building prompt monitoring lists, understanding what people ask AI about their brand/category, or wants to identify AI search opportunities for their product/service.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/geoly-geo/geo-prompt-researcherAI Prompt Researcher
Methodology by GEOly AI (geoly.ai) — in AI search, prompts are the new keywords.
Research and generate AI search prompts that your target audience uses when seeking products, services, or information in your category.
Quick Start
Generate a prompt research report:
python scripts/research_prompts.py --category "<category>" --brand "<brand>" --output report.md
Example:
python scripts/research_prompts.py --category "project management software" \
--brand "Asana" \
--competitors "Monday.com,Notion,Trello" \
--output asana-prompts.md
Why Prompt Research Matters
In traditional SEO, we optimize for keywords. In AI search (GEO), we optimize for prompts.
Key differences:
- Keywords: Short, fragmented (
best crm) - Prompts: Natural language questions (
what's the best CRM for a 10-person sales team?)
Understanding the prompts your audience uses helps you:
- Create content that answers those specific questions
- Monitor brand visibility across AI platforms
- Identify content gaps vs. competitors
The 5 Prompt Types
| Type | Pattern | Example |
|---|---|---|
| Discovery | "best [category] for [use case]" | "best GEO tool for e-commerce brands" |
| Comparison | "[brand A] vs [brand B]" | "Notion vs Asana for project management" |
| How-To | "how to [achieve outcome]" | "how to get my brand mentioned by ChatGPT" |
| Definition | "what is [term/concept]" | "what is Share of Model in AI search" |
| Recommendation | "recommend a [product] for [need]" | "recommend a CRM for real estate agents" |
Full taxonomy: See references/prompt-taxonomy.md
Research Methodology
Step 1: Gather Context
Collect from user:
- Brand name: Your company/product
- Category: Industry/product category
- Target audience: Who buys your product
- Core use cases: Primary jobs-to-be-done
- Competitors: 3-5 main alternatives
- Key features: Differentiating capabilities
Step 2: Generate Prompts
Create prompts across 4 awareness stages:
| Stage | User Mindset | Example Prompts |
|---|---|---|
| Problem-aware | "I have a problem" | "how to manage remote teams", "why are projects always late" |
| Solution-aware | "I need a solution" | "best project management software", "tools for team collaboration" |
| Product-aware | "I'm considering options" | "Asana vs Monday.com", "Notion for project management" |
| Brand-aware | "I know about you" | "Asana pricing", "does Asana have time tracking" |
Step 3: Score & Prioritize
Each prompt gets scored on:
| Dimension | Scale | Factors |
|---|---|---|
| Intent | Info → Commercial | Likelihood to convert |
| Volume | Low → High | Estimated query frequency |
| Competition | Low → High | Difficulty to rank |
| Value | Low → High | Business impact if won |
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-geoly-geo-geo-prompt-researcher": {
"enabled": true,
"auto_update": true
}
}
}Related Skills
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geo-studio
Master GEO content orchestrator that understands user goals and intelligently routes tasks across specialized GEO skills. Automatically selects the right workflow from strategy and audit to content creation, optimization, and human editing. Use as the default starting point for any GEO-related task including creating GEO content, ranking in AI search, auditing content for AI visibility, building GEO strategies, writing AI-citable articles, or when unsure which specific GEO skill to use.
geo-schema-gen
Generate complete, validated Schema.org JSON-LD markup for any content type to boost AI citation rates. Creates structured data for Organization, FAQPage, Article, BlogPosting, Product, HowTo, BreadcrumbList, WebSite, VideoObject, and ImageObject schemas. Use whenever the user mentions adding schema markup, generating structured data, creating JSON-LD, implementing Schema.org, optimizing for rich snippets, or wants to improve how AI understands and cites their content. Also trigger for requests about Organization schema, FAQ schema, Article markup, Product schema, or any structured data implementation.