Google's 'Ask Advisor,' and the Quiet Shift Toward Expanding Set of AI Tools for Marketers

Marketers have long worked inside a set of separate tools that rarely talk to one another. 

Campaign data lives in one place, product feeds in another, and performance numbers somewhere else. Switching between them, re-explaining context, and piecing together the next step has become a familiar part of the job.

In May 2026 Google introduced a single conversational interface meant to reduce that friction. Called 'Ask Advisor,' it was presented at Google Marketing Live as a Gemini-powered agent that can draw on information from Google Ads, Google Analytics, Merchant Center and, eventually, other parts of the Google marketing stack. 

The idea is that a marketer can state a goal in ordinary language and receive a response that already incorporates data from more than one product.

According to Google's own description, the system can pull product details from Merchant Center when someone asks to reach new customers, then help set up a corresponding campaign in Ads. 

It can also combine Ads and Analytics numbers to explain what changed and suggest what to try next. 

Earlier, separate advisors had already appeared inside individual products. Ask Advisor is the attempt to connect those agents so that context and goals persist across tools rather than resetting with every new tab.

Now, Google said that the fuller cross-product version as still coming soon. 

The accompanying video showed a user stating a business goal and receiving a short sequence of recommended steps that spanned data cleanup, campaign creation, and later optimization. 

Support documentation confirms that a beta version is already available inside Google Ads for eligible English-language accounts. 

Users can open a side panel, ask about performance drops, policy issues, creative ideas, or reporting, and receive answers grounded in their own account data. Similar conversational features have appeared in Analytics and, more recently, in Merchant Center.

The practical difference from earlier tools appears to be the shared memory layer. 

Instead of treating each product as an isolated silo, the system is designed to keep track of stated priorities and surface recommendations that span platforms. 

Around the same period Google has also begun highlighting a wider set of AI updates aimed at reducing complexity rather than adding to it. 

In a separate post, the company noted that many marketers feel overwhelmed by AI terminology while still searching for tools that produce measurable results. 

Three specific features from the 2026 Marketing Live event are being prepared for the APAC region: 'AI Max for Search,' which focuses on asset optimization and brand matching; 'AI Brief,' which lets teams set brand, audience and guardrail parameters before a campaign goes live; and 'Asset Studio,' which uses models such as Gemini and Veo to generate storyboards and creative variations. 

Together these developments point to a broader effort to turn abstract AI capabilities into more concrete, controllable steps inside the existing advertising workflow.

Published