Google's Gemini Agent, Ask Advisor, Now Spans Its Whole Ad Stack
Google is making a Gemini agent the front door to its advertising products. For marketers, the console is starting to answer back.
Key takeaways
- Google unveiled Ask Advisor, a single Gemini agent that spans Google Ads, Google Analytics, Merchant Center, and the Marketing Platform.
- It is rebuilding search ads for AI-era, conversational results, and pushing agentic commerce with a Universal Cart and new payment protocols.
- The shift for marketers: media buying moves from a dashboard you operate to an agent you brief. Control and measurement are the open questions.
What Google announced
Google used its Marketing Live 2026 keynote to put Gemini at the center of its ad business, not at the edges of it.
The headline is Ask Advisor. Google describes it as a unified agent, built with Gemini, that spans Google Ads, Google Analytics, Merchant Center, and the Google Marketing Platform. Google pitches it as an always-on strategic partner that connects the dots across those products.
Alongside it, Google is rebuilding search ads for what it calls the AI era of Search. The new formats are designed to feel like helpful additions to a conversation and to close the gap between a person's question and their purchase. A Direct Offers pilot for shoppers is expanding.
Two more pieces round it out. Asset Studio now turns brand guidelines into creative faster by wiring design tools into Gemini. And on commerce, Google is pushing a Universal Cart plus new protocols (the Agent Payments Protocol and Universal Commerce Protocol) so agents can discover and pay across its surfaces.
Why it matters for marketers
Strip away the product names and one thing is happening: the interface to Google's ad stack is becoming an agent you brief, not a dashboard you operate.
That moves where control sits. When one agent connects Ads, Analytics, and Merchant Center and then recommends the play, the marketer's job tilts from pulling levers to setting the strategy, guardrails, and budgets the agent has to work inside.
It also raises the old automation questions, just higher up the stack. How much can you see into why the agent did what it did? And how do you prove incrementality when the same company runs the ads, the analytics, and increasingly the checkout? Those answers decide whether this saves you time or just spends your money faster.
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