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Is ChatGPT recommending you? Find the questions your buyers actually ask AI, then see which ones matter and where the gaps are.
Signal
Signal describes package standing, not measured performance.
GEO Domination finds the questions your buyers ask AI, cuts the noise down to the ones that matter, and shows what sits behind each one: the related searches AI engines expand into, where your content is missing, and where the citations are coming from.
From one question to 49
Prompt
Find every question my buyers ask AI.
- Start with the buyer questionThe run starts from a real category question:“Best invoicing software for creative agencies”
- Expand the search spaceThe skill generates the different ways buyers might ask AI about the same problem.In this run:126 candidate prompts
- Keep the ones that matterThe candidates are scored and reduced to the core set worth tracking.49 core prompts
- Find the gaps behind themFor each core prompt, the skill surfaces the related sub-queries, content gaps, and citation gaps that explain what needs to improve.
What you get
A focused set of prompts your buyers are likely to ask AI, plus the search and content gaps behind each one.
Skill details
- Input
Your company, product, category, or market, plus any context the skill needs to understand what you sell and who buys it.
- Output
A scored core set of buyer prompts, related sub-queries, and the content and citation gaps behind them.
- Setup
Give the skill enough context to understand your company and market.
If you use RadarKit, the resulting prompt set can be taken into your tracking workflow there.
What you can inspect
Package instructions + 2 worked examplesThese materials show the intended workflow. They do not support a measured performance claim.Skill details
What you get & setupPackage instructions
Find the AI prompts your buyers ask, then own the answers in ChatGPT, Perplexity, Gemini and Google AI.
- Input
- A task and the working material it needs
- Output
- Rendered film
- Setup
- Read the package instructions before use
Evidence & limitationsPackage available
Package available. Versioned package and files available. Of the 2 worked examples, one is a recorded run; the other one explains the intended workflow and is not a recorded model run.
Creator, source & adoptionRadarKit
Created by RadarKit. The installable package is distributed through the public getedgehq skills collection.
Shubham SinghCo-founder, RadarKitRead skill files2 files
Every file from the pinned package is available here. SKILL.md opens first.
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