Episode Description
AI models don’t recommend businesses by chance. But what if the signals they rely on are sending potential customers to your competitors instead?
In this episode of The Unlearning Lab, Kevin Wosmansky of JAR Consulting Group explains how artificial intelligence systems decide which companies to mention, cite, and recommend in AI-generated answers. The conversation explores how platforms such as ChatGPT, Google AI Mode, Gemini, and Claude interpret a company’s website content, online reputation, expertise, brand consistency, and third-party mentions. The episode also breaks down the importance of clear service information, credible proof, consistent business details, and authoritative content across the web.
For companies trying to appear in AI recommendations, the goal is not to manipulate an algorithm. It is to make the business easier for AI models to understand, verify, and confidently present as a useful option.
Discover how JAR Consulting Group helps businesses improve their visibility in search engines and AI-generated results by visiting the JAR Consulting Group website.
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