Google’s AI-Powered Ads and Analytics Advisors: A Deep Dive

Marketing teams are increasingly turning to artificial intelligence to optimize campaigns and unlock deeper insights from data. Google is at the forefront of this trend with its new agentic AI tools: Ads Advisor and Analytics Advisor. These aren’t simply chatbots; they are designed to be collaborative partners, bridging the gap between data analysis and actionable strategies.

What are Ads Advisor and Analytics Advisor?

Launched in early 2026, Ads Advisor and Analytics Advisor leverage Google’s Gemini models to provide personalized recommendations and insights directly within the Google Ads and Google Analytics interfaces, respectively. They represent a shift towards “agentic” experiences, where AI tools proactively assist users, rather than simply responding to commands. Google emphasizes that the value of these tools lies in their ability to connect data with decision-making.

How Does Analytics Advisor Work?

Analytics Advisor functions as a conversational experience within Google Analytics. It’s designed to accelerate data analysis for all users, offering actionable insights, visualizations, and links to relevant reports. Users can ask questions in natural language – for example, “how many new users did we get last week?” – and the Advisor will not only answer the question but also proactively identify related trends and insights.

For instance, if Analytics Advisor detects an unusual spike in traffic from Direct and Organic Search channels, it can further analyze whether this surge impacted add-to-cart and checkout rates, calculating these metrics on the fly. Users can then ask follow-up questions, such as “analyze where users are dropping off after viewing an item to make a purchase,” to gain a full funnel view of user behavior.

What Can Ads Advisor Do?

Ads Advisor, integrated within the Google Ads console, analyzes a marketer’s unique data, business goals, landing pages, and campaign performance to deliver tailored recommendations. Google highlights its ability to quickly identify issues impacting campaign performance, such as policy violations. Marketers can pose questions like, “How can I optimize my campaign for back-to-school season?” and receive specific suggestions, such as adding sitelink extensions.

Unlike traditional AI tools, Ads Advisor provides a detailed account of historical changes and explains the reasoning behind its suggestions. Adweek reports that this transparency is a key feature of the new agentic tools.

Best Practices for Collaboration

To maximize the benefits of Ads Advisor and Analytics Advisor, Google recommends the following:

• Ask Questions in Natural Language: Treat the advisors as you would a colleague, using conversational language.
• Follow Up and Dig Deeper: Don’t hesitate to ask clarifying questions or request more detailed analysis.
• Provide Feedback: Use the “thumbs up” or “thumbs down” buttons to help refine the AI’s recommendations.
• Leverage Proactive Insights: Pay attention to insights surfaced by Analytics Advisor, even if you weren’t actively searching for them.
• Remember Context: The advisors retain context from previous conversations, leading to more sophisticated and tailored guidance over time.

Looking Ahead

The launch of Ads Advisor and Analytics Advisor signals a significant evolution in how marketers interact with AI. As these tools continue to develop, powered by advancements in Gemini and other large language models, they promise to become even more integral to data-driven marketing strategies. The ability to proactively identify insights and automate campaign optimization will be crucial for businesses looking to stay ahead in an increasingly competitive landscape.