Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Discover high-value AI search prompts your target audience uses on ChatGPT, Perplexity, Gemini, and Claude. Research and generate comprehensive prompt lists...
Discover high-value AI search prompts your target audience uses on ChatGPT, Perplexity, Gemini, and Claude. Research and generate comprehensive prompt lists...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
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.
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
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
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
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
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"
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: ๐ด High: Commercial intent + high value ๐ก Medium: Mixed intent + moderate value ๐ต Low: Informational + awareness building
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"
Research what prompts mention competitors but not you: python scripts/competitor_prompts.py --brand "YourBrand" \ --competitors "CompetitorA,CompetitorB" \ --category "your category"
Identify emerging prompt patterns: python scripts/trending_prompts.py --category "your category" --days 30
Set up ongoing monitoring: python scripts/monitor_prompts.py --prompts-file prompts.json --frequency weekly
Google "People also ask": Real user questions AnswerThePublic: Query visualization AlsoAsked: PAA expansion Perplexity: Test how prompts are answered ChatGPT: Explore prompt variations
Prompt taxonomy: references/prompt-taxonomy.md Platform differences: references/platform-guide.md Prompt templates: references/prompt-templates.md Research examples: references/examples.md
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