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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...

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Discover high-value AI search prompts your target audience uses on ChatGPT, Perplexity, Gemini, and Claude. Research and generate comprehensive prompt lists...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, scripts/research_prompts.py, references/examples.md, references/prompt-templates.md, references/platform-guide.md, references/prompt-taxonomy.md

Validation

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  • Review SKILL.md after the package is downloaded.
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I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

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Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.1

Documentation

ClawHub primary doc Primary doc: SKILL.md 14 sections Open source page

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

TypePatternExampleDiscovery"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

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: StageUser MindsetExample PromptsProblem-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: DimensionScaleFactorsIntentInfo โ†’ CommercialLikelihood to convertVolumeLow โ†’ HighEstimated query frequencyCompetitionLow โ†’ HighDifficulty to rankValueLow โ†’ HighBusiness impact if won Priority tiers: ๐Ÿ”ด High: Commercial intent + high value ๐ŸŸก Medium: Mixed intent + moderate value ๐Ÿ”ต Low: Informational + awareness building

Step 4: Cluster by Theme

Group related prompts into clusters: Pricing Cluster โ”œโ”€โ”€ "asana pricing" โ”œโ”€โ”€ "asana vs monday.com cost" โ”œโ”€โ”€ "is asana free" โ””โ”€โ”€ "asana enterprise pricing" Integration Cluster โ”œโ”€โ”€ "asana slack integration" โ”œโ”€โ”€ "asana google calendar sync" โ””โ”€โ”€ "asana api documentation"

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]
  • ## ๐Ÿ”ด 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 |
  • ## ๐ŸŸก Medium Priority Prompts
  • [Table of informational/commercial mixed prompts]
  • ## ๐Ÿ”ต 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]

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

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

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
5 Docs1 Scripts
  • SKILL.md Primary doc
  • references/examples.md Docs
  • references/platform-guide.md Docs
  • references/prompt-taxonomy.md Docs
  • references/prompt-templates.md Docs
  • scripts/research_prompts.py Scripts