--- name: geo-prompt-researcher description: 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. --- # AI 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: ```bash python scripts/research_prompts.py --category "" --brand "" --output report.md ``` Example: ```bash 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](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 | **Priority tiers:** - 🔴 **High**: Commercial intent + high value - 🟡 **Medium**: Mixed intent + moderate value - 🔵 **Low**: Informational + awareness building ### Step 4: Cluster by Theme Group related prompts into clusters: ``` Pricing Cluster ├── "asana pricing" ├── "asana vs monday.com cost" ├── "is asana free" └── "asana enterprise pricing" Integration Cluster ├── "asana slack integration" ├── "asana google calendar sync" └── "asana api documentation" ``` ## Output Format ### Research Report Structure ```markdown # AI Prompt Research Report **Brand**: [Name] **Category**: [Industry] **Date**: [YYYY-MM-DD] ## Executive Summary - Total prompts researched: [N] - High priority: [N] - Medium priority: [N] - Low priority: [N] - Topic clusters: [N] ## 🔴 High Priority Prompts | # | Prompt | Type | Intent | Best Platform | |---|--------|------|--------|---------------| | 1 | "best [category] for [use case]" | Discovery | Commercial | ChatGPT, Perplexity | | 2 | "[brand] vs [competitor]" | Comparison | Commercial | Perplexity, Gemini | ## 🟡 Medium Priority Prompts [Table of informational/commercial mixed prompts] ## 🔵 Low Priority Prompts [List of awareness-stage prompts] ## Topic Clusters ### Cluster: [Theme] - [Prompt 1] - [Prompt 2] - ... ### Cluster: [Theme] ... ## Platform-Specific Insights ### ChatGPT - Prompt types that perform well: [list] - Content format preferences: [description] ### Perplexity - Prompt types that perform well: [list] - Citation behavior: [description] ### Gemini - Prompt types that perform well: [list] - Unique characteristics: [description] ## Recommended Actions 1. [Action item 1] 2. [Action item 2] 3. [Action item 3] ## Monitoring Setup Add these prompts to your GEO monitoring dashboard: - [Tool recommendation] - [Tracking methodology] ``` ## Advanced Usage ### Competitor Prompt Analysis Research what prompts mention competitors but not you: ```bash python scripts/competitor_prompts.py --brand "YourBrand" \ --competitors "CompetitorA,CompetitorB" \ --category "your category" ``` ### Trending Prompts Identify emerging prompt patterns: ```bash python scripts/trending_prompts.py --category "your category" --days 30 ``` ### Prompt Monitoring Set up ongoing monitoring: ```bash python scripts/monitor_prompts.py --prompts-file prompts.json --frequency weekly ``` ## Tools & Resources - **Google "People also ask"**: Real user questions - **AnswerThePublic**: Query visualization - **AlsoAsked**: PAA expansion - **Perplexity**: Test how prompts are answered - **ChatGPT**: Explore prompt variations ## See Also - Prompt taxonomy: [references/prompt-taxonomy.md](references/prompt-taxonomy.md) - Platform differences: [references/platform-guide.md](references/platform-guide.md) - Prompt templates: [references/prompt-templates.md](references/prompt-templates.md) - Research examples: [references/examples.md](references/examples.md)