AI 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.

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 "<category>" --brand "<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

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:

text

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
• Platform differences: references/platform-guide.md
• Prompt templates: references/prompt-templates.md
• Research examples: references/examples.md