| 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) โ 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 โ Commercial | Likelihood to convert |
| Volume | Low โ High | Estimated query frequency |
| Competition | Low โ High | Difficulty to rank |
| Value | Low โ High | Business impact if won |
Priority tiers:
- ๐ด High: Commercial intent + high value
- ๐ก Medium: Mixed intent + moderate value
- ๐ต Low: Informational + awareness building
Step 4: Cluster by Theme
Group related prompts into clusters:
Pricing Cluster
โโโ "asana pricing"
โโโ "asana vs monday.com cost"
โโโ "is asana free"
โโโ "asana enterprise pricing"
Integration Cluster
โโโ "asana slack integration"
โโโ "asana google calendar sync"
โโโ "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]
## ๐ด 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 |
## ๐ก Medium Priority Prompts
[Table of informational/commercial mixed prompts]
## ๐ต 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 30
Prompt Monitoring
Set up ongoing monitoring:
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
