AI Prompt Researcher

# 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 "<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:

``` 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