Google plans to use generative AI to boost the relevance of Search ads based on query context and debuts a conversational experience for creating ad campaigns
https://searchengineland.com/ ... Tweets: Fabio Chiusi / @fabiochiusi : “For example, users can search “hiking backpacks for kids” on the new version of Google and the AI could respond with an ad for a particular backpack, along with tips for how to choose the best backpack for a child, Google said” https://www.reuters.com/... Parker / @pt : I was told LLMs were going to destroy Google's ad business. Reminds me of when people said mobile would be terrible for desktop ad businesses, but it was just way better. https://twitter.com/... Matt Navarra / @mattnavarra : Google Search ads will soon automatically adapt to queries using generative AI Example If a person searches for “skin care for dry sensitive skin,” AI can use content from a company's landing page + existing ads to create a new headline that aligns even more closely with the... https://twitter.com/... [image] See also Mediagazer
Context & Ripple Effects
Google had already signaled its direction in an earlier plan to remix advertiser-provided creative into campaigns. This move extends that idea from asset generation into the matching of ads with the meaning of a search query.
It also sits alongside the rollout of Search Generative Experience with conversational and shopping features, making advertising creation and search results part of the same generative-AI transition. Later tests of ad formats in AI Mode show that this became an ongoing product path rather than a one-off tool launch.
First-order effects
- Advertisers get a conversational campaign-building workflow, potentially reducing the manual work required to turn campaign inputs into ad material.
- Google can use query context to make Search ads more tailored to the user’s expressed need, including in responses that also provide shopping guidance.
Second-order effects
- Advertisers will need to evaluate campaigns on how well AI-generated combinations of creative, product information, and query context perform, not solely on manually configured keyword-and-copy pairings.
- Search rivals and AI search products face added pressure to develop commercial formats that fit conversational answers without making those answers less useful or trustworthy.
Third-order effects
- If this approach scales, search advertising could shift from discrete sponsored links toward AI-mediated commercial recommendations embedded in an answer experience.
- The durable competitive advantage would increasingly lie in platforms that combine high-intent queries, advertiser inputs, and an interface that can place commercial suggestions at the moment of decision.
The trend: This is an early step in the commercialization of generative search, where AI becomes both the answer layer and the system that assembles the associated ad experience.