- 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:
python scripts/research_prompts.py --category "<category>" --brand "<brand>" --output report.mdExample:
python scripts/research_prompts.py --category "project management software" \
--brand "Asana" \
--competitors "Monday.com,Notion,Trello" \
--output asana-prompts.mdWhy 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 |
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
# 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:
python scripts/competitor_prompts.py --brand "YourBrand" \
--competitors "CompetitorA,CompetitorB" \
--category "your category"Trending Prompts
Identify emerging prompt patterns:
python scripts/trending_prompts.py --category "your category" --days 30Prompt Monitoring
Set up ongoing monitoring:
python scripts/monitor_prompts.py --prompts-file prompts.json --frequency weeklyTools & 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
- Platform differences: references/platform-guide.md
- Prompt templates: references/prompt-templates.md
- Research examples: references/examples.md