Genezio measures AI Visibility as the percentage of eligible AI conversations in which your brand occurs. This page explains the visibility formula, what counts as a brand appearance, and which Genezio agent types give the KPIs. The most important signal that Genezio tracks is AI Recommendations: does the answer engine recommend the brand as a solution? AI Visibility measures the wider presence. It shows how frequently your brand occurs in AI answers at all, as a mention, a comparison, or a recommendation. The visibility metric answers one simple question: in how many AI conversations does your brand occur?

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The AI Visibility formula

Genezio calculates AI Visibility with this formula:
For example, a brand occurs in 42 of the 100 conversations that Genezio analyzes. The AI Visibility of the brand for that set of scenarios is:
This percentage shows clearly how frequently the brand occurs when AI systems answer questions about a specific topic.

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What counts as a brand appearance

A brand is visible in a conversation when the AI assistant does one of these actions:
  • It mentions the brand explicitly.
  • It puts the brand in a list of recommendations.
  • It compares the brand with competitors.
  • It refers to the brand as part of an explanation.
The brand does not have to be the main subject of the answer. Each clear mention of the brand counts as visibility for that conversation.

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Genezio agent types and AI Visibility

Genezio runs different types of conversations to simulate realistic interactions with AI systems. Each Genezio agent type shows a different user intent. For all five agents, read How the 5 agents work.

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Prompter agent

A Prompter agent conversation simulates a user who asks an open question about a category. Example:
User query: What CRM should a startup use?
The AI assistant answers with recommendations or with a list of relevant products. Prompter agent conversations are one of the primary signals for the measurement of visibility. They show how brands occur when users ask general discovery questions.

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Recommender agent

A Recommender agent conversation simulates a user who explicitly asks the AI to recommend solutions. Example:
User query: Recommend project management tools for small teams.
Genezio also uses these conversations to calculate visibility. They show which brands AI systems recommend for usual requests.

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Introspector agent

An Introspector agent conversation asks the AI system about a specific brand. Example:
User query: What is HubSpot used for?
The question includes the brand name. Thus, the AI assistant almost always mentions the brand in its answer. For this reason, Genezio does not use Introspector agent conversations to calculate AI Visibility. These conversations make the visibility score artificially high.

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Comparer agent

A Comparer agent conversation asks the AI system to compare specific brands. Example:
User query: HubSpot vs Pipedrive: which CRM is better for startups?
In this type of conversation, the brands are in the prompt. The model almost always refers to those brands in the answer. Thus, Genezio does not use Comparer agent conversations to calculate the KPIs. The Comparer is a competitive analysis tool. It uses the brand-level metrics of your brand to show how you compare with specific competitors. It does not have an effect on the calculation of AI Visibility or AI Recommendations.

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Which agent types give KPIs

The two KPIs are brand-level metrics. Genezio calculates them from the Prompter and Recommender conversations, where the AI selects without help which brands to show. Thus, the metrics show the organic presence of the brand and real recommendation decisions.

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AI Visibility for each topic

Usually, Genezio measures visibility in the context of a specific topic or set of scenarios. For example, a brand can have these values:
  • 60% visibility for “CRM for startups”
  • 35% visibility for “sales tools for small businesses”
  • 10% visibility for “marketing automation platforms”
This helps organizations find the topics where AI systems strongly connect their brand to the topic, and the topics where the visibility is small. To group many topics by theme, use topic tags.

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Why AI Visibility is a useful metric

AI Visibility gives a high-level signal about how AI systems see a brand in a category. A higher visibility score shows these items:
  • AI systems frequently connect the brand to the topic.
  • The brand occurs in recommendations.
  • The sources that AI systems use frequently refer to the brand.
A lower score can show that competitors are dominant in the conversation. It can also show that the information sources of the AI models refer to the brand too little.

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Next steps

To understand how your visibility compares with competitors, read this page: This page tells you how Genezio expands the visibility analysis into deeper competitive insights.

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In the API

The public API reads the visibility of a brand over time and by topic: Visibility over time and Visibility by topic.