AI SEO professionals often underestimate the complexity of user interactions with AI assistants. An analysis of nearly 1 million chat sessions reveals that most conversations are brief. The average session has 4.7 turns, but the median is just 2, indicating many users ask one question and get a straightforward response. The dataset shows a significant gap between the mean and median word counts, suggesting that while most chats are short, a few lengthy interactions skew the averages. Users generate about 40% of the total content in these interactions. The breakdown shows that while users produce shorter prompts, assistants contribute more detailed responses, creating a dynamic where AI does much of the heavy lifting. A closer look at session lengths shows over 80% of conversations contain fewer than 1,000 words, with the most common range being 100-500 words. This aligns with typical question-and-answer exchanges, while only a small fraction of sessions exceed 2,500 words, likely indicating more complex tasks like document editing. The study also classifies user intents, revealing that nearly two-thirds of interactions are non-commercial. Users engage in activities like brainstorming and learning rather than product research. Among the 35% with commercial intent, the awareness stage is the most common, where users explore problems and trends. This suggests a significant opportunity for businesses to engage users early in their decision-making process, particularly in the consideration stage where users actively compare options.