Technology that overlays digital content onto a live view of the real world using computer vision and real-time rendering to lock virtual elements to physical surfaces. For agencies, it is a channel that turns passive brand exposure into something a person can reach out and interact with.
Also known as AR, mixed reality (partial), AR experiences
Augmented reality (AR) adds a layer of computer-generated content to a real-world environment as seen through a camera. Unlike virtual reality, which replaces the physical environment entirely, AR composites digital elements onto what is already there: a product sitting on a kitchen counter you haven’t bought yet, a brand logo that appears to float above a billboard, a character standing next to you in the street.
The underlying mechanics involve computer vision (identifying surfaces and anchor points in the camera feed), real-time 3D rendering (placing and lighting digital objects to match the scene), and spatial tracking (keeping those objects locked to their position as the camera moves). AI plays a growing role in each of these, particularly in object recognition and scene understanding, which allow AR experiences to behave intelligently rather than just placing content at a fixed coordinate.
Consumer AR is accessed most commonly through smartphone cameras. Platform-native formats from Snapchat, Instagram, and TikTok have made basic AR lenses and filters a standard creative format, while more sophisticated experiences live in dedicated apps or, increasingly, in multimodal AI platforms that combine vision with language.
AR is one of the few ad formats where interaction time is measured in minutes rather than seconds. A user trying on a virtual pair of sunglasses or placing a piece of furniture in their living room is engaged in a fundamentally different way than someone scrolling past a display ad. That engagement difference has real implications for how agencies pitch, produce, and report on AR campaigns.
The production challenge. AR creative requires a different skill set than traditional digital production. 3D modeling, spatial design, and experience logic are not standard capabilities in most agency studios. Agencies that have built or acquired this capability can charge for it; agencies that haven’t are dependent on specialist vendors, which affects both margin and creative control.
Try-before-you-buy utility. For retail and CPG clients, AR product visualization has measurable effects on purchase conversion. A consumer who can see how a paint color looks on their wall or how a piece of furniture fits in their room before buying is less likely to return the item. Agencies that can connect AR experience performance to downstream sales data have a concrete ROI story to tell.
AI is closing the production gap. Image generation and AI-assisted 3D tools are making it faster and cheaper to produce the assets that AR experiences require. An agency that pairs creative direction with AI-assisted production can now deliver AR work at a cost point that was previously only accessible to clients with very large budgets.
A beauty brand asks the agency to build a product launch experience around a new lipstick line. Instead of a standard social campaign, the agency develops a Snapchat lens that lets users try on each shade in real time using face-tracking AR. The creative team designs the lens variations, a 3D production partner builds the assets, and the media team handles distribution through Snap’s AR ad inventory. The campaign reports on lens opens, average engagement time, and share rates alongside standard awareness metrics.
The AR experience becomes the product demo, the social content, and the media unit simultaneously. That compression of roles is what makes AR genuinely interesting for agencies with clients whose products need to be experienced rather than described.
The static imagery and multimodal module of the workshop covers how to generate, direct, and refine AI imagery without losing creative ownership.