OpenAI moves toward a Google-style ad business built on ChatGPT demand
OpenAI is reportedly building an advertising business modeled on Google, with self-serve ad tools now in beta. Marketers say ChatGPT's high purchase intent could compete for paid search budgets, but they lack the keyword-level visibility that search advertisers rely on.
OpenAI is reportedly seeking to build an advertising business along the lines of Google's, a move that could pull paid search spending toward ChatGPT. The scale of the opportunity is large: Google's ad revenue came to roughly $295 billion last year, with search alone accounting for about $225 billion, or around $4.3 billion a week. Advertisers who follow the market closely say the appeal of ChatGPT lies in what people ask it.
Unlike the content in social media feeds, ChatGPT prompts tend to signal high purchase intent. A user asking for a product recommendation or comparing options is typically closer to a buying decision than someone scrolling through a feed. That is why the platform has drawn attention from marketers who have spent years buying ads against search queries and social audiences.
OpenAI has begun assembling the tools needed for that business. A self-serve Ads Manager is in beta, letting buyers purchase ads on a cost-per-thousand-impressions (CPM) or cost-per-click (CPC) basis. For measurement, the company offers a Conversions API and a pixel, the kinds of tracking tools advertisers already use on other platforms. A feature called Sponsored Agents allows users to chat with advertisers after they click through, extending the interaction beyond a single ad impression.
The main obstacle for advertisers is visibility. Buyers of search ads can see the keywords that drive demand, which helps them judge where to spend. Advertisers on ChatGPT lack an equivalent view of the conversations that lead to their ads, which makes it harder to know whether a given campaign is reaching people with genuine buying intent.
One proposed solution is to share aggregated intent categories rather than raw chat content. Under that approach, the platform would roll up commercial patterns, such as the kinds of products people are researching, while keeping individual conversations private. The author of the Fast Company analysis points to Google's query aggregation as a privacy-safe precedent, arguing that a similar model could give advertisers useful signals without exposing what users type. Intent data of this kind would also let ChatGPT compete directly for paid search budgets.
For marketers, the immediate advice is practical. Advertisers are urged to treat ChatGPT ads as a complement to paid search rather than only to paid social, and to ask vendors what intent reporting is available today. The analysis also cautions that clicks alone show curiosity rather than purchase readiness, so campaigns will need to be judged on what happens after the click.
The developments land as OpenAI looks to diversify beyond subscriptions and as the company's consumer product becomes a daily research tool for many users. Whether its ad platform can match the measurement and privacy standards that advertisers expect from Google will likely determine how quickly budgets move toward it.
Source: fastcompany.com
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