Google brings new AI agent capabilities to Ads and Analytics
On August 10, 2026 Google added a set of AI agent capabilities to its advertising and measurement products. The in-product agent Ask Advisor now answers questions and suggests actions, the Analytics homepage summarizes automatically on login, the Ads homepage is rebuilt around insight cards, and dashboards can be generated from a text prompt. The features opened in beta for English language accounts.
From reading reports to asking questions
Per the Google announcement dated August 10, 2026, Ask Advisor is positioned as an in-product AI agent working across the company marketing platforms. Its role is not only to answer but to suggest actions directly to the marketer.
On the Google Analytics side a feature called AI Overviews arrives on the homepage. It automatically summarizes notable performance shifts and data trends since your last login. You can click a summary and send the context to Ask Advisor for deeper analysis. The summaries can also arrive as phone or email notifications.
Per a Search Engine Land report published the same day, the aim of these updates is to reduce the time spent interpreting data while keeping advertisers in control. The report offers asking about competitor impact on your impression share as an example of a natural language question.
Insight cards, dashboards and benchmarking
On the Google Ads side the homepage is being rebuilt. Alongside personalized AI powered insight cards there is a prompt box that lets you generate a custom insight based on whatever is top of mind.
The Dashboards feature turns raw data into visualizations from simple text prompts. Per the announcement the system also produces real time summaries explaining what is driving performance. The feature opens on the Google Ads side first and comes to Google Analytics later.
Another feature arriving in Google Analytics is benchmarking. It compares your campaign performance against anonymized averages from similar businesses and points at opportunities to improve.
On scope the announcement is clear: the features are currently offered in beta for English language accounts. The announcement quotes Kevin Marshall, paid media director at Gardyn, saying Ask Advisor has become his go-to for a directional check on paid media performance and that the speed matters.
Once the dashboard interprets, who checks the interpretation?
The direction of this update is clear: advertising panels are shifting from places that display data to places that interpret it. The job of looking at raw numbers and drawing meaning is being handed to the tool itself. That assessment is ours.
The real risk here is not a wrong number but a convincing interpretation. When a summary tells you why performance dropped, you still have to go back to the same data to test that explanation. Otherwise the summary is making the decision, not you. The announcement stresses that advertisers stay in control, but how that control gets used in practice is left to the advertiser.
Third, the nature of benchmarking. Being compared against averages from similar businesses can be directionally useful, but an average is not a target. An account below the sector average is not necessarily performing badly. It may be playing to a different audience, a different margin or a different stage of maturity. That comment is ours.
Fourth, language scope. The features being in beta for English accounts means accounts using a Turkish interface will not benefit from this layer for a while. The announcement gives no timeline for Turkish.
What it means for businesses in Türkiye
The assessment below is not in the sources, it is our reading. The announcement contains no timeline for Türkiye or for Turkish language support.
In the short term the practical impact is limited, because the features are in beta for English accounts. Agencies and teams running their interface in English can try this today, while businesses working in Turkish have to wait.
In the medium term the point is this: these tools interpret the data in your account, and the quality of the interpretation depends on the quality of that data. In an account with incomplete conversion tracking, targets entered years ago and channels mixed together, an AI summary only delivers the wrong conclusion faster and more convincingly.
Three practical steps. First, before enabling this layer, verify that your conversion tracking is set up correctly. Second, test every generated summary by hand for the first few weeks and note where it holds and where it does not. Third, use benchmark data as context rather than a target. Your target is your own unit economics, not the sector average.
The UNALSOFT take
On the advertising management side we welcome features like this, because they genuinely reduce the burden of reading reports. But what we tell clients does not change: an interpretation a tool offers can never be better than the measurement underneath it. We always work in the same order, measurement infrastructure first, interpretation layer second. Turning on an AI summary while conversion tracking is unhealthy is like fitting a digital display to a broken scale. The number looks easier to read, its accuracy does not change.
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