Google is expanding its AI assistant, Ask Advisor, with new agentic capabilities across Google Ads and Google Analytics. The shift is from surfacing data to interpreting it.
Analytics: the homepage speaks first
Google Analytics is adding AI Overviews to the homepage — a summary of key performance changes since the user last logged in. It highlights trends such as traffic shifts or seasonal sales spikes and recommends potential next steps.
Users can click into Ask Advisor to investigate any specific insight further, and can opt in to receive those AI-generated summaries by email or mobile notification.
Ads: a redesigned homepage and natural-language questions
Google Ads gets a redesigned homepage built around personalized, AI-powered insight cards. Advertisers can ask natural-language questions — how competitors are affecting impression share, what trends could influence campaign performance — and Ask Advisor generates tailored insights.
Dashboards from a text prompt
Google is also introducing Dashboards in Google Ads, with Analytics support coming soon. Using simple text prompts, marketers can generate visual reports from their data, and AI automatically creates real-time summaries explaining the performance trends behind the charts.
Why it matters
Reporting automation used to mean aggregating numbers. This is the layer above: proposing what the numbers mean. The manual work of digging through reports to spot trends shrinks considerably.
It also introduces a risk. When the AI's interpretation becomes the default framing, hypotheses it did not raise quietly drop out of consideration. If a drop in impression share is summarized as competitive pressure, a landing page issue or a feed error may never get checked.
Three rules worth setting now
Treat AI summaries as a hypothesis list, not a conclusion. Build a verification step for whatever cause the summary names.
Definitions still come from humans. If you have not settled which conversions count and what baseline period applies, an AI-built dashboard will answer the wrong question very precisely — especially when the data layer itself is shifting, as with recent Google Data Manager API changes.
Read it alongside AI visibility metrics. The variables explaining paid performance now extend past search ads, a pattern documented in analysis linking AI visibility metrics to PPC outcomes.
Bottom line
Google is not freeing advertisers from data — it is handing them a first draft of the interpretation. The ability to review that draft is where practitioner value now sits.