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The advertising potential of AI assistants goes far beyond keyword searches. Users share deeply personal information, essentially conducting therapy or thought partnership sessions. This data will allow companies to build psychological profiles of unprecedented depth, enabling a terrifyingly effective new era of personalized advertising.

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Anthropic's ads are effective because they tap into the common consumer experience of feeling spied on by platforms like Meta. By transposing this established fear of "creepy" ad targeting onto the new territory of LLMs, the campaign makes its speculative warnings feel more plausible and emotionally resonant.

Unlike short search queries, AI conversations provide thousands of words of context on user intent. This rich data enables superior ad targeting and monetization potential, creating a market opportunity so large that it can support new players alongside giants like Google and OpenAI.

As AI assistants become more capable, the fundamental advertising dynamic may invert. Instead of being passively shown ads, users might actively instruct their agents to "go find me five options for shoes," effectively requesting advertising. The value exchange changes to one where users want curated commercial options.

To effectively sell ads, OpenAI must provide advertisers with targeting tools and performance data. This will inadvertently open up a treasure trove of analytics for all marketers, offering the first real glimpse into user behavior, popular topics, and prompt trends within ChatGPT.

The evolution of personalization won't just be one-to-one marketing to a person, but marketing to their AI agent. Brands must learn how to provide data signals and recommendations that influence an AI's choices on behalf of its user, a paradigm shift from traditional consumer engagement models.

AI platforms are adopting distinct advertising strategies. While Google inserts ads early in a conversation, similar to a search result, ChatGPT often waits for ten or more interactions. This suggests a more sophisticated approach, biding time to better understand user intent before presenting a relevant ad, akin to a salesperson building rapport before making a pitch.

OpenAI envisions an advertising platform that merges the high-intent nature of Google Search with the personal context and memory from a user's entire conversation history. By knowing who a user is and what they want in real-time, OpenAI believes it can create a highly potent and effective ad platform to fund free access for the world.

OpenAI plans to personalize ads not just on immediate queries but by analyzing a user's entire chat history. This creates a powerful hybrid of Google's intent-based advertising and Meta's interest-based profiling, going beyond simple sponsored links to offer deeply contextual promotions.

AI conversations capture high-intent moments, allowing ads to target active decision-making rather than passive attention-grabbing like social media. This fundamental difference could lead to significantly higher average revenue per user (ARPU), making social media's ad performance a floor, not a ceiling for AI platforms.

Analyst Eric Sufert predicts OpenAI's ad model will not be anchored to the content of a user's query, which could compromise trust in the answer's objectivity. Instead, it will function like Instagram's feed, where ads are targeted based on a user's broader conversion history, independent of the immediate conversational context.

AI Chatbots Will Enable Hyper-Targeted Ads Based on Your Deepest Conversations | RiffOn