AI conversations are changing how people discover and buy products, creating new ways for businesses to understand consumer behavior. Traditionally, consumers used search engines, social media, and marketplaces like Amazon and eBay to find products and information. Now, large language models (LLMs)—AI systems that can generate human-like text—are becoming a major part of this process. According to Forrester, more than half of online adults have used generative AI to find answers to questions, showing how deeply these tools are integrated into daily life. With LLMs, people can now ask questions and compare options through natural conversation, often before visiting a website. This conversational discovery is becoming more common, as users trust AI to help narrow down choices before deciding where to go next. Many consumers use AI for practical tasks like researching products or making purchase decisions, with more than three-quarters of AI interactions related to informational or transactional needs. However, unlike traditional search engines that return a list of results, AI often recommends a single brand, shaping consumer choices more directly. This shift means that consumer intent can form before they even reach a website. Historically, companies relied on search queries, clicks, and browsing behavior to understand customer needs. But with AI, people are asking questions even before they know what to search for, providing more detailed context. For example, a shopper comparing skincare ingredients or a traveler planning a trip can reveal more about their needs through conversation than through simple keyword searches. However, while many use AI for research, only a small percentage would let AI make actual purchase decisions for them. The impact of AI on consumer journeys is significant. Even though the final purchase may still happen on a website or in a store, the research and decision-making process often starts in an AI conversation. These journeys frequently reach their highest conversion point after five to six prompts, with many leading to a purchase within two weeks. As a result, businesses may see less direct traffic to their websites, but those who do arrive are likely to be more informed and ready to buy. Understanding consumer behavior in this new AI-driven landscape requires looking beyond traditional metrics like search rankings and website traffic. AI conversations offer a richer, more detailed view of how people think, ask questions, and make decisions. However, different AI models can provide varying insights, as they rely on different data sources and weigh information differently. This means that a brand's visibility can change significantly depending on which AI tool is used. To succeed in this new era, businesses need to adapt how they measure and understand consumer behavior. While traditional metrics remain important, they no longer tell the full story. The key is to gather data directly from how people actually ask questions and make choices, rather than relying on AI models’ outputs. Businesses must focus on gaining the most complete picture of consumer intent to navigate this evolving digital landscape effectively.