Google launches AI search ad testing to embed promotional content in AI responses
Google announced the launch of AI search advertising tests aimed at desktop users in the United States. The tests are based on user research, which suggests that AI advertising can enhance demand conversion efficiency. The advertising display will be rolled out in phases, with the first phase already launched for search and shopping ads, and plans to expand to overseas markets in the second half of the year. The new AI model can handle complex issues and support multi-turn conversations, marking the entry of search engine commercialization into a new era, where the traditional keyword bidding model may be replaced by AI-driven contextual marketing
According to Zhitong Finance APP, Google (GOOGL.US) announced that it will launch AI search advertising tests for desktop users in the United States starting today. According to the official statement, this test is based on preliminary user research results—testers believe that ads in the AI overview "help quickly reach the required services," significantly improving demand conversion efficiency.
The scope of ad display will be advanced in phases: the first phase has already launched search and shopping ads on desktop in the United States; for international expansion, the English version of AI Overviews ads is planned to enter some overseas markets in the second half of the year. It is worth noting that this advertising is only open to customers using specific advertising products, including: Performance Max smart marketing series with broad match, shopping ad series, and search ad series equipped with AI Max technology.
On the technical side, the new AI model breaks through traditional search limitations, capable of handling complex questions up to 2-3 times the length of conventional queries and supporting multi-turn conversations. This feature is built on Google's latest generation large model, Gemini 2.5, which has advanced reasoning capabilities and multimodal interaction characteristics, allowing it to handle diverse input forms such as text and images simultaneously.
Market observers point out that this move marks a new era in the commercialization of search engines. The traditional keyword bidding model may be replaced by AI-driven scenario-based marketing, requiring advertisers to rebuild the delivery logic from "keyword triggering" to "intent understanding."
