Categories: General

WebAR and Generative AI Opens Doors to Creating Dynamic and Engaging Marketing Experiences

Generative AI is a marketing dream tool with many benefits. Niantic’s 8th Wall WebAR platform introduces a novel way for developers, brands, and agencies to access abundant creative resources.

8th Wall, a subsidiary of Niantic and a leading provider of a web-based augmented reality (WebAR) development platform, has unveiled an exciting addition to its offering. Generative AI Modules and sample projects are now integrated into the platform, thanks to a collaboration with Inworld and OpenAI.

This integration of Generative AI with 8th Wall‘s immersive WebAR introduces a novel way for developers, brands, and agencies to access abundant creative resources. It also empowers audiences by granting them more control over their immersive encounters.

Incorporating Generative AI tools into the existing 8th Wall platform, developers gain the ability to accelerate WebAR development. These tools encompass technologies such as DALL·E and Stable Diffusion for text-to-image input, Blockade Labs for 360-degree sky images, Inworld AI for lifelike interactive characters, Hugging Face and ControlNet for facial texture, and Move.ai and Wonder Dynamics for lifelike movement.

With this latest enhancement, developers, regardless of their expertise level, can now easily create WebAR experiences with Generative AI . This is achieved through newly integrated Generative AI Modules and sample projects for Inworld and OpenAI. These modules effectively streamline the integration of Generative AI into WebAR experiences, eradicating the typical development complexities. By simply adding the Module to their project, developers can unlock GenAI-powered capabilities within their experiences.

The synergy between WebAR and Generative AI opens doors to dynamic and evolving experiences. This departure from single-use content creation is a response to the immense popularity of AI-powered filters on platforms like TikTok. By merging WebAR with GenAI, developers create experiences that adapt and respond to user interaction, thereby enhancing engagement and promoting repeated visits.

The versatility of the 8th Wall platform shines as it facilitates unified development across smartphones, computers, tablets, and virtual/mixed reality devices.

A standout component of this release is Inworld’s Character Engine. This powerful Generative AI technology injects interactive and lifelike AI-driven characters into WebAR experiences. These characters can learn, adapt, and engage with users in a highly personalized manner.

The collaboration between 8th Wall and Inworld results in the creation of the Inworld AI Integration Module and a sample project. Developers can seamlessly combine these avatars with 8th Wall’s tools to offer novel interactive experiences.

What Does Generative AI Mean for Marketing?

Generative AI is capable of creating content, such as videos and text, by learning from existing information. In marketing, this technology can potentially have a significant impact for brands. A recent Bloomberg article states that the Generative AI market is poised to explode, growing to $1.3 trillion over the next 10 years from a market size of just $40 billion in 2022.

WebAR and Generative AI Opens Doors to Creating Dynamic and Engaging Marketing Experiences 2

Here are some examples of how Generative AI can work for you and your marketing goals. 

Content Creation

With the help of Generative AI, marketers can improve the quality of their content by developing effective content for social media updates, blog posts, and product descriptions. It can also help them create drafts and complete content pieces according to their specific requirements.

Personalization

Through the use of Generative AI, marketers can create customized marketing materials, including advertisements and recommendations. By analyzing the preferences and behaviors of their consumers, the system can produce content that can resonate with them and increase their engagement rates.

Ad Copy and Creative

For online marketing campaigns, the use of Generative AI can help generate creative and compelling ad content. This includes the creation of eye-catching imagery, headlines, and taglines, which can catch the attention of target audiences and boost click-throughs.

Chatbots and Customer Support

Artificial intelligence-powered chatbots can be utilized for customer support and provide more relevant and natural responses to inquiries. These can also mimic and understand human language, leading to better customer experiences and increased support operations.

Product Design and Visualization

In the design and visualization of products, such as interior and fashion, Generative AI can help create new ideas and visualize how products would look in certain environments. This can help designers and marketers try new concepts quickly.

Video and Visual Content

Visual content, such as videos and images, can be created with the help of Generative AI. It can generate imagery that’s based on descriptions or scenes, which can be particularly beneficial when creating promotional content.

A/B Testing

With the help of Generative AI, marketers can test varying elements of their content, such as email subject lines and headlines, to determine which one is more likely to perform well. This approach can result in more effective testing and optimization efforts.

Predictive Analytics

Predictive analytics utilizes Generative AI models to analyze historical data and predict future market shifts, consumer behaviors, and trends. This enables marketers to adjust their tactics accordingly.

Creativity and Innovation

Generative AI can help spark a creative spark by delivering fresh ideas and innovative approaches, facilitating ideation sessions and brainstorming sessions.

In marketing, Generative AI can automate various tasks and improve the efficiency of marketers by allowing them to focus more on their customer’s needs. While it offers numerous advantages, it’s important that the system is able to strike a balance between human touch and automation to ensure that the finished product is consistent with the brand’s values.

Similarly, OpenAI’s DALL·E and ChatGPT contribute to the innovation. DALL·E generates intricate images from text prompts, enhancing WebAR experiences with creative control for users. ChatGPT enables real-time interaction in WebAR, opening avenues for personalized experiences.

Through these new tools, developers can leverage the potential of Generative AI to transform WebAR encounters. The integration spans various features such as Image Targets, Face Effects, World Effects, Sky Effects, Lightship VPS, and Shared AR tools.

In the words of Ian Curtis, XR Developer at 8th Wall, “What excites me most about integrating Generative AI into Augmented Reality is that it empowers every user to become an architect of their digital world. They’re no longer passively consuming content but actively creating it, shaping their experiences with the power of their imagination.”

To learn more about 8th Wall and its suite of tools for WebAR development, please reach out to us for a consultation call.

Bobby Carlton

Bobby Carlton leads business development at FS Studio, where he works with robotics, autonomy, and manufacturing teams to figure out what they actually need from simulation before a single asset gets built. His view is that the next chapter of immersive technology is not a headset. It is the physical world learning to think. That work sits at the point where robots, digital twins, and synthetic data stop being separate disciplines and become one: teaching machines to understand and act in real environments. He spends his time on the practical end of it, translating between the engineers building high-fidelity simulation and the operators who have to justify it on a plant floor, in a warehouse, or across a fleet. On the FS Studio blog he writes DigiTalk, a running look at how Physical AI is being built right now. The posts cover embodied reasoning, teleoperation data, humanoid reliability, sim-to-real transfer, and the tooling underneath it, including NVIDIA Omniverse, MuJoCo, and OpenUSD. No hype, no roadmap fan fiction, just what changed and what it means for teams shipping real systems. Bobby is based in Albany, New York, and studied at the State University of New York at Albany.

Share
Published by
Bobby Carlton

Recent Posts

The FCC Robot Ban Explained: 7 Facts Behind the Headlines

By Bobby Carlton On July 28, 2026, the FCC added foreign-produced advanced robotic devices to…

2 days ago

Embodied Reasoning The 1 Skill Robots Have Been Missing

Embodied Reasoning Is Manufactured, Not Discovered By Bobby Carlton Embodied reasoning is the term you're…

3 weeks ago

Humanoid Robot Reliability Changes the Math for Everybody

By Bobby Carlton Where Humanoid Robot Reliability Actually Comes From Humanoid robot reliability crossed a…

1 month ago

Teleoperation Data Is the #1 Fuel That Teaches Robots the Work

Why Teleoperation Data Can't Be Faked. By Bobby Carlton Teleoperation data is the quiet force…

1 month ago

Robot Simulation Just Got Cheaper. Here’s Why It Matters

What Better Robot Simulation Actually Means for Your Floor By Bobby Carlton Here's something that…

2 months ago

Gaussian Splatting Allows Industries to Effectively Visualize and Analyze Complex Data For Better Decision-Making and Enhanced Outcomes

Good chance you’re hearing a lot of conversation around a technology called Gaussian splatting (or…

5 months ago