Generate Questions for an AI Visibility Analysis Using LLM Support

The visibility of brands, products, and content is undergoing a fundamental shift. 
In addition to traditional search engines, Large Language Models (LLMs) such as ChatGPT, Gemini, or Claude are increasingly becoming key information and decision-making systems. 

But how visible is your company within these AI systems?

The AI Visibility Analysis (aiva) answers exactly this question — based on systematically generated probe questions.

What Are Probe Questions?

Probe questions are strategically developed test questions that realistically simulate typical user queries. 
They reflect real information needs along the customer journey — from general orientation questions to specific purchase or vendor decisions.

By generating these questions in a structured way, a robust test set is created that allows you to analyze a company’s:

• Presence
• Positioning
• Strength of argumentation

within LLM-generated responses.

Why Use LLM Support for Question Generation?

LLMs make it possible to generate probe questions that are:

• Scalable
• Semantically diverse
• Structured across different intent types (informational, commercial, transactional)
• Tailored to specific industries and target audiences

This results in a broad, realistic spectrum of questions that authentically reflects human search and conversational behavior.