The Unique Dynamics of Advertising in AI Assistants

Advertising in AI assistants like ChatGPT presents distinct challenges compared to traditional search or social media platforms. This is primarily due to the structural nuances in how these ads engage with users. According to Rokt, a New York-based e-commerce technology firm, the key issue is that ads not only compete with each other but also with the AI assistant’s own response. When users seek recommendations from ChatGPT, the AI’s answer appears first, followed by a sponsored ad placement. OpenAI asserts that these ads do not influence the assistant’s responses, yet their proximity significantly affects user perception.

The Psychology of Machine Confidence

Research by the University of Waterloo and University College London delves into how users perceive AI confidence. A study published in May 2026 highlighted that people tend to view AI systems as more confident than human responses, even when the information is identical. This phenomenon, termed the “illusion of confidence,” has substantial implications for advertising. If an AI’s organic response endorses a category without naming specific brands, users may unknowingly anchor their trust in that initial, high-confidence answer before even viewing the corresponding ad. Conversely, when the organic response is favorable to a particular brand, the advertisement bolsters the authority granted by the AI model.

Advertising Strategy: Competing with AI Responses

In traditional search contexts, ads vie against each other for visibility based on the same query. However, Rokt posits that in AI assistants, ads contend with the AI’s own answers, which users often regard as an unbiased authority. This observation suggests a new kind of advertising environment, where the AI’s output becomes the most potent competitor for advertisers. As a result, simply purchasing ad space does not guarantee visibility; brands must also influence the AI’s responses, an aspect not dictated by budget alone.

The Necessity of Brand Awareness in Ads

Brands can acquire ad placements in ChatGPT without modifying how the AI interprets them. OpenAI uses contextual cues, such as landing page content and ad copy, to match these ads to conversations. While effective targeting still generates impressions, Rokt cautions that superficial or poorly crafted web content may limit a brand’s visibility in relevant discussions. If a brand’s online presence lacks strong, structured content, its ads may be less likely to appear in meaningful user conversations.

Performance Measurement in AI Advertising

The introduction of features like “Ask ChatGPT” allows users to inquire about products independently of ads, which can either complement or undermine the sponsored content. If the AI provides robust information about the brand, it can enhance the ad’s credibility. However, if the response is vague or favorably inclined toward competitors, advertisers risk losing traction. This evolving landscape complicates traditional marketing metrics, particularly last-touch attribution. As online shopping behavior shifts, incrementality is becoming the new standard for performance measurement.

Rokt’s Influence on the AI Advertising Landscape

Rokt’s insights into AI advertising are backed by extensive experience at the point of purchase, with its AI-driven platform handling transactions in real-time across trillions of data points annually. Rokt anticipates significant growth in various engagement metrics and has established itself in industry rankings for retail and commerce media networks. The firm emphasizes that marketers must prioritize nurturing direct customer relationships instead of seeking fleeting engagement on AI platforms, as consumer intent is heightened during transactions.

The Fast-Moving Future of AI Advertising

The dynamics of advertising within AI platforms are rapidly evolving, marked by the successful launch of ChatGPT ads in February 2026. These ads generated over $100 million in annualized revenue within six weeks, attracting over 600 advertisers. As OpenAI refines its ad pricing strategy, the focus is shifting to how brands can leverage their presence on these platforms. Rokt advocates for a proactive approach, urging brands to adapt their media strategies while simultaneously improving their visibility to AI models. With the competitive landscape tightening, the capability to optimize brand clarity will play a critical role in maximizing ROI within these AI-powered environments.