Genezio Fact Checker Agent: Detecting False AI Claims About a Brand

The Genezio Fact Checker is an AI agent that flags when an AI engine says something false about a brand. The Knowledge Base Layer is a brand truth layer that verifies what an AI engine states during a conversation.

What problem does the Genezio Fact Checker solve?

AI engines describe brands in conversations that the brands never see. Some descriptions contain wrong prices, discontinued products or features that do not exist. A wrong answer produces no error report, so brands usually do not know it happened.

The Genezio Fact Checker makes these errors visible. The shift it reflects is from asking "is our brand mentioned by AI?" to asking "is our brand mentioned correctly by AI?"

What kinds of false claims do AI engines make about brands?

AI engines make several recurring kinds of false claims about brands. The Genezio Fact Checker is built to catch statements like these:

• Wrong pricing: an AI engine quotes an old price, a price from another market, or a plan the brand no longer sells.
• Discontinued or renamed products: an AI engine recommends a product the brand stopped selling, or uses a product's old name.
• Invented features: an AI engine states that a product does something it does not do.
• Missing features: an AI engine says a product lacks a capability it actually has, which can push a buyer towards a competitor.
• Wrong availability: an AI engine says a product is not available in a country or through a retailer when it is, or the reverse.
• Confused identity: an AI engine mixes up the brand with a competitor or a similarly named company and attributes the other company's facts to it.

Why do AI engines get facts about brands wrong?

AI engines get brand facts wrong for a few common reasons. A model's training data can be months or years old, so the model may repeat information that was true at training time but is no longer true. When an AI engine searches the web before answering, it can retrieve an outdated page, an old review or a third-party listing that was never updated. When no source states a fact clearly, an AI engine can also fill the gap with a plausible but false detail.

Because these causes sit in the sources, the same false claim can persist for a long time and spread across engines until the sources behind it change.

Why do false AI claims matter for a brand?

False AI claims affect buying decisions directly. A buyer who is told a product is too expensive, lacks a feature or is unavailable may never visit the brand's website. A buyer who is told about a feature that does not exist arrives with the wrong expectation, which leads to lost deals, extra support requests and disappointed customers. Because the brand never sees the conversation, this cost stays invisible unless the brand monitors AI answers for accuracy.

What is the Genezio Knowledge Base Layer?

The Genezio Knowledge Base Layer is a brand truth layer: a set of facts that should hold whenever an AI engine talks about the brand, such as products, pricing and key claims. During a simulated conversation, the Knowledge Base Layer verifies the statements an AI engine makes against those facts.

How does the Genezio Fact Checker work?

The Genezio Fact Checker agent sits on top of the Knowledge Base Layer. When an AI engine makes a statement about the brand that does not match the brand's truth layer, the Fact Checker flags it as false.

Genezio runs these checks across multiple AI engines. Comparing engines shows where an error comes from: one engine may state a brand's pricing correctly while another repeats an outdated figure from an old source.

What should a brand do when the Fact Checker flags a false claim?

A flagged false claim is the starting point for a fix. A typical sequence looks like this:

1. Find the source. Use Genezio citation data to see which pages AI engines cite for that topic, and whether an outdated or third-party page is feeding the error.
2. Correct what the brand controls. Update the brand's own pages so the correct fact is stated plainly, in a place AI engines can read and quote.
3. Correct third-party sources. Ask partners, marketplaces, review sites and directories to update outdated listings.
4. Publish clear, citable facts. Add or improve pages that state the fact directly, such as pricing, product and FAQ pages.
5. Recheck. Keep the fact in the Knowledge Base Layer, so the Fact Checker shows whether AI engines start stating it correctly.

How is the Fact Checker different from visibility and sentiment metrics?

Visibility metrics measure whether AI engines mention a brand. Sentiment metrics measure the tone AI engines use about a brand. The Genezio Fact Checker measures whether the facts AI engines state about the brand are true.

A brand can score well on visibility and sentiment while AI engines describe it with wrong facts. For example, an AI engine can recommend a brand warmly while quoting a price the brand stopped charging a year ago. Only an accuracy check catches that kind of error.

How is the Fact Checker different from manual spot checks?

Many teams check AI accuracy by asking ChatGPT a few questions about their brand. A manual spot check covers a handful of prompts, in one engine, on one day. The Genezio Fact Checker checks AI statements across the conversations Genezio runs for the brand and across multiple AI engines, so errors that appear only in some engines or only for some questions are still caught.

What are the five Genezio agents?

With the Fact Checker, the Genezio agent suite has five agents. Each agent probes a brand from a different angle:

• Prompter runs the questions buyers ask AI engines.
• Comparer tests how a brand performs against named competitors.
• Introspector examines what AI engines say about the brand directly.
• Recommender tracks whether AI engines recommend the brand.
• Fact Checker checks whether what AI engines say about the brand is true.