AI technologies are being increasingly used to analyze different aspects of the online food environment. However, there is a lack of systematic evaluation regarding how these technologies are implemented, their objectives, and their effectiveness across platforms such as social media and food delivery services. The presented systematic review seeks to address this gap by examining existing research that applies AI to study the online food environment. Specifically, it focuses on the types of AI methods and tools employed, how they are used to assess different dimensions of the online food environment, and the insights they offer into user exposure to food-related content.