Genezio is an AI visibility platform that helps organizations measure and improve how frequently answer engines recommend their brand. Examples of answer engines are ChatGPT, Claude, Gemini, and Perplexity. An answer engine recommends a brand when a user asks it for a solution. More users use AI assistants to research products, compare services, and make purchase decisions. Thus, a recommendation in an AI-generated answer becomes as important as a high rank on Google. Genezio helps teams measure their AI recommendation rate, understand the causes of that rate, and do actions that make it better.

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The change from search engines to AI answers

In the past, users found brands through search engines such as Google. This was the usual interaction:
  1. A user enters a search query.
  2. The search engine shows a list of links.
  3. The user clicks one or more results.
In AI search, the experience is different. The AI system does not show a list of links. It makes a direct answer from information that it gets from many sources. Example:
User query: What are the best running shoes for marathon training?
The AI assistant does not show links. It can give an answer such as this one:
AI answer: The best running shoes for marathon training include the Nike Alphafly, Adidas Adios Pro, and Saucony Endorphin Elite due to their energy return and cushioning.
The sources for this answer can include:
  • Product review sites
  • Ecommerce stores
  • Brand websites
  • Forums and communities
  • Editorial articles
In this environment, the important question is this: does the AI system recommend your brand when users ask for a solution? A position in a list of search results is not sufficient.

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The two core metrics: AI Recommendations and AI Visibility

Genezio measures two items:
  1. AI Recommendations %: how frequently answer engines recommend your brand when users ask for a solution. This is the primary metric. In AI search, it is the item that is nearest to a purchase decision.
  2. AI Visibility %: how frequently your brand occurs in AI-generated answers at all (as a mention, a citation, or a comparison). This is the wider measure of the AI presence of your brand.
For example, a user asks this question:
User query: What is the best CRM for startups?
An AI assistant can give this answer:
AI answer: For a startup, I’d recommend HubSpot for its free tier and ease of setup. Salesforce and Pipedrive are also worth considering if you need more customization.
In this conversation:
  • The AI recommends HubSpot. HubSpot is the choice that the AI suggests.
  • HubSpot, Salesforce, and Pipedrive all have visibility. They occur in the answer.
  • A CRM that the answer does not mention has no recommendation and no visibility for this conversation.
Genezio measures the two metrics across thousands of AI conversations. It also shows you what to do to get more recommendations.

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How Genezio works in five steps

Genezio simulates real user interactions with AI systems and analyzes the answers. The process has these steps.

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1. Define topics

A topic is an area where a brand wants to occur in AI-generated answers. Examples:
  • “running shoes for marathon training”
  • “best CRM for startups”
  • “luxury ski resorts in Switzerland”

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2. Create scenarios

A scenario is a realistic situation of a user who asks an AI assistant for help. Example scenario:
User query: I am training for my first marathon. What running shoes should I buy?

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3. Run conversations

Genezio runs conversations with the supported answer engines, for example:
  • ChatGPT
  • Claude
  • Gemini
  • Perplexity
Each conversation simulates a real user who asks questions. Sometimes the user also asks follow-up questions.

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4. Analyze the answers

The platform analyzes each answer and extracts structured information:
  • The brands that the answer mentions
  • The sources that the answer cites
  • The claims (perceptions) about each brand
  • The accuracy of those claims, when compared with your brand knowledge

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5. Make insights

With this data, Genezio calculates metrics and makes insights, for example:
  • The AI Recommendations score and the AI Visibility score
  • The share of voice, when compared with competitors
  • The sources that answer engines cite most
  • The opportunities to make your content better

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What Genezio measures in AI answers

Genezio analyzes different aspects of AI-generated answers.

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Brand mentions

Brand mentions show how frequently a brand occurs in the answers of AI assistants.

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Citations

Citations show which sources the AI system uses as references for its answers. These sources can include:
  • Brand websites
  • Review sites
  • News articles
  • Blogs
For more about citations, read How AI citations work.

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Competitor presence

Competitor presence shows which other brands occur in the same answers. This helps you identify your competitors in the AI landscape.

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Perception accuracy

Perception accuracy shows if the claims of the AI about a brand are correct or incorrect. Genezio compares the claims with your brand knowledge base. This helps you find where answer engines give incorrect information about your brand, and where they give correct information.

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Share of voice

Share of voice is the relative visibility of a brand, when compared with its competitors, across many AI conversations.

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Why AI recommendations are important for your pipeline

AI assistants become a usual start point for product discovery and purchase decisions. More users ask questions such as these:
  • “What CRM should a startup use?”
  • “Recommend running shoes for marathon training.”
  • “What is the best credit card for travel?”
The brands that answer engines recommend in these answers get a direct pipeline advantage. If an answer engine recommends your competitor and not you, you lose deals before the buyer visits your website. Genezio helps you understand this new landscape and do actions to get more recommendations.

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What Genezio does not do

Genezio does not control how AI systems make answers. It helps organizations do these tasks:
  • Measure how frequently AI answers recommend their brand
  • Understand why AI answers recommend some brands more than other brands
  • Identify opportunities to increase their recommendation rate
Usually, these items increase AI recommendations: better content, stronger authority signals, and more relevance across the web.

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Next steps

To start with Genezio, read these pages: