The 5 Genezio agents are five types of AI conversations that measure the presence of your brand in answer engines. Each agent answers a different question. Not all agents count for your score. This is intentional, and this page tells you why.
A comparison: Think of five different mystery shoppers that examine your brand. Each one goes into a store (or asks an AI) with a different brief. Their results show very different things about how people see your brand.

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Agent 1: Prompter agent for open discovery

Counts for: AI Visibility % What it simulates: A user at the top of the funnel. The user examines a category and did not select a brand. The user asks open discovery questions. Example queries:
  • “What are the best CRM tools for a startup?”
  • “What software should I use for project management?”
  • “What tools do marketing teams use for analytics?”
Why it is important for you: Most buyers start their research in this way. If you are absent here, the AI removes you before the shortlist exists. Prompter conversations have the largest effect on AI Visibility %. For the full feature page, read Prompter agent. Content implication: Category pillar pages · “Best of” content · In-depth guides · Original research

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Agent 2: Recommender agent for purchase decisions

Counts for: AI Recommendations % and AI Visibility % What it simulates: A user who is ready to make a decision. The user did some research. Now the user wants the AI to select a specific item for their situation. These conversations frequently have many steps. Example queries:
  • “I’m a solo founder with a team of 3. Recommend a CRM that’s easy to set up and under $50/month.”
  • “What’s the best project management tool for a remote design team of 10?”
Why it is important for you: This is the moment of highest intent in the AI buyer journey. A user asks the AI to recommend a solution. If the AI does not give your name, you lose a qualified lead. AI Recommendations % is your conversion metric. Content implication: Use-case landing pages · Persona-specific content · ROI calculators

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Agent 3: Introspector agent for brand narrative

Does not count for the KPIs What it simulates: A user who knows your brand and wants to learn more. The user asks the AI directly about your brand, by name. Example queries:
  • “What is HubSpot?”
  • “What does Salesforce do?”
  • “Tell me about Notion’s pricing model.”
Why it does not count for your score: If the user mentions your brand in the question, the AI almost always mentions it in the answer. Thus, this result shows no real visibility. These conversations make your Visibility score artificially high and useless as a benchmark. What it is useful for: It helps you understand how the AI describes your brand:
  • Which words does the AI use?
  • Which strengths and weaknesses does it mention?
  • Which claims does it make?
  • Are those claims accurate?
This data goes directly into your Perceptions analysis, the accuracy layer below the score. It also goes into your Statements analysis, the qualitative layer below the score. Content implication: Brand narrative analysis · Claim accuracy monitoring · Sentiment monitoring · Positioning audit

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Agent 4: Comparer agent for competitive analysis

Does not count for the KPIs. This is a competitive analysis tool. What it simulates: A user who compares you with a specific competitor. The user has fewer options now and wants a direct verdict between two brands. Example queries:
  • “HubSpot vs Pipedrive: which is better for a startup?”
  • “Notion vs Asana for a remote team?”
  • “Should I use Salesforce or HubSpot?”
Why it does not count for your score: The question names the two brands. Thus, the two brands always occur in the answer. As with the Introspector, these conversations make your metrics incorrect. What it is for: The Comparer is an analysis tool. It takes the brand-level KPIs that Genezio calculated from the Prompter and Recommender conversations, and puts them in a competitive context. The Comparer also runs direct AI conversations between two brands. These conversations show how answer engines compare you with specific competitors:
  • Which strengths does the answer engine show?
  • Which weaknesses does it mention?
  • Which brand does it select as the better match?
  • Does it show you as better for large enterprises? As more expensive? As easier to use?
This shows the narrative that you must make stronger, or correct. Prompter and Recommender tell you your score. Comparer tells you why you win or lose against a specific competitor. Content implication: Competitive intelligence · “vs” comparison page strategy · Win/loss narrative

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Agent 5: Fact Checker agent for factual accuracy

Does not count for the KPIs. This is an accuracy measurement tool. What it simulates: A factual probe. The agent does not ask the answer engine open questions. You give it specific claims about your brand that it can verify, for example pricing, features, founding year, customer counts, or certifications. The agent then measures if the answer engine confirms, contradicts, or avoids each claim. Example claims:
  • “Our product offers a free tier.”
  • “We were founded in 2019.”
  • “We are SOC 2 Type II certified.”
Results for each claim:
  • True: the answer engine confirms the claim.
  • False: the answer engine contradicts the claim.
  • Indecisive: the answer engine does not take a clear position.
Why it does not count for your score: The prompt states the claims. Thus, the conversation does not measure discovery. It measures accuracy, which is a different axis from visibility and recommendation. What it is for: The Fact Checker is most useful for brands where factual accuracy has a direct effect on buyer trust or regulatory standing. Examples are security, financial services, healthcare, and other regulated industries. The Fact Checker also works with the Knowledge Base and Grounded Perceptions. Together, they make a complete accuracy stack:
  • The Knowledge Base defines the truth.
  • The Fact Checker tests if answer engines confirm the truth.
  • Grounded Perceptions show if answer engines match the truth without a prompt about it.
Content implication: Update the product, pricing, and certification pages, so that the correct facts are public and crawlers can read them · Correct third-party listings · Publish authoritative reference content for high-risk claims For the full feature page, read Fact Checker agent.

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The 5 agents compared

Two agents measure. Three agents analyze. Prompter and Recommender give your KPIs. Introspector, Comparer, and Fact Checker help you understand the narratives, the competitive dynamics, and the factual accuracy behind those numbers. All five agents are necessary, but they have different roles.

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Content strategy for each agent

Each agent type maps directly to content that you must create:
  • Prompter: content at the category level.
  • Recommender: use-case landing pages.
  • Introspector: your own brand content and PR.
  • Comparer: “vs” comparison pages.
The next page tells you more about this. Next: From data to content strategy