Google announced a new reporting feature inside Google Ads on 14 May 2026. The feature is called Dashboards, and it generates charts, graphs, and tables from natural language prompts using Gemini. It updates in real time as the advertiser types. The announcement was made via @GoogleAds on X, with a note that additional details will follow at Google Marketing Live on 20 May.
The tweet read, “Tired of manual reporting? Introducing Dashboards built with Gemini capabilities. 👇 Swipe through to learn how you can reimagine your data visualisation, analysis, and export in Google Ads.”
The timing is deliberate. This is the third pre-GML announcement in a fortnight, following the bidding and budgeting features that dropped on 7 May and the AI Max for Shopping expansion on 30 April. Google is seeding the narrative ahead of the keynote. Each announcement teases a capability, with the full product story assembled on stage in Dublin next week.
That means what we know today is partial. What we can do is assess the announcement on its own terms, understand where it sits in Google’s existing AI tool stack, and form a view on what it actually means for e-commerce advertisers before the GML framing shapes how it gets received.
What Is Dashboards?
The description from Google is straightforward. Dashboards is an insights tool for data visualisation, analysis, and export built with Gemini capabilities. Advertisers access an interactive, unified view of their data through charts, graphs, tables, and more. They can type a prompt to see real-time updates based on their query.
The metrics covered at launch include impressions, clicks, video views, and cost, with breakdowns across devices, audiences, and campaign types. The workflow replaces manual navigation through reporting tabs with a conversational interface. You describe what you want to see and the visualisation rebuilds around the request.
What It Does
Natural language → data visualisation
Type a plain English query such as “show me conversion rate by device over the last 30 days,” and Dashboards generates the relevant chart or table in real time. No manual segment selection, no navigating between reporting tabs, no exporting to a spreadsheet to build the view you actually need.
What It Covers
Impressions, clicks, video views and cost
Breakdowns across devices, audiences, and campaign types will be confirmed at launch. The full scope of metrics available, including conversion data, ROAS, and product-level reporting, is expected to be detailed at GML. The announcement describes it as “interactive and unified,” which suggests the intention is broader than the launch metrics imply.
What It Is Not
Not Ads Advisor. Not Analytics Advisor.
Google has been clear on this. Dashboards is a separate feature from Ads Advisor and Analytics Advisor, which handle campaign suggestions and performance Q&A. Dashboards focuses specifically on data visualisation, generating custom reporting views on demand rather than surfacing recommendations or answering questions about existing reports. This distinction matters for understanding what it can and cannot do.
Where Dashboards Fits In Google’s Gemini Stack
To understand what Dashboards adds, it helps to see what was already there. Google has been building a layered Gemini presence inside Google Ads since late 2025. Dashboards is the third distinct tool in that stack.
Ads Advisor
- What it does: Campaign suggestions, performance Q&A, policy queries. Answers questions about what's happening in your account and recommends actions.
- What it doesn’t do: Doesn't generate custom visualisations. Not a reporting tool.
Analytics Advisor
- What it does: Performance analysis and narrative summaries. Explains trends and anomalies in plain English.
- What it doesn’t do: Doesn't generate charts or export-ready data views.
Dashboards (new)
- What it does: Prompt-driven data visualisation. Generates charts, graphs, and tables from natural language queries in real time.
- What it doesn’t do: Doesn't make recommendations or explain causes. Focused on showing data, not interpreting it.
The three tools are complementary rather than overlapping. Ads Advisor tells you what to do. Analytics Advisor tells you why something happened. Dashboards shows you the data in the shape you want to see it. Together, they represent Google’s vision of what AI-assisted campaign management looks like. It is a conversational layer across the entire workflow, right from insight through to action.
Dashboards doesn’t tell you what the data means. It shows you the data faster. Those are different capabilities. Both matter. Only one of them requires AI.
The Honest Assessment
What’s genuinely useful
The friction in Google Ads reporting has always been the gap between the question you want to answer and the number of clicks required to get there. Building a meaningful cross-segment view—conversion rate by device, broken down by campaign type, filtered to the last 60 days—currently requires either manual segment layering inside the interface or exporting to a spreadsheet. For most accounts, the report that would actually answer the question gets approximated by a report that’s easier to build.
Prompt-driven visualisation removes that friction. If the feature works as described, the question “show me which audience segments are driving the highest conversion value across PMAX this quarter” becomes a single typed instruction rather than a twenty-minute Looker Studio build.
That is a genuine time-saving and a genuine decision-making improvement because the data that was always there becomes easier to access.
What needs watching
Two concerns worth holding clearly before GML fills in the gaps:
- First: the metrics scope at launch is narrow. Impressions, clicks, video views, and cost are the top-of-funnel metrics. The questions that matter most for e-commerce decision-making — conversion value by product category, ROAS by audience segment, SKU-level spend attribution are not confirmed in today's announcement. Whether Dashboards can answer those questions at launch, or whether they require integration with product feeds and conversion data that isn't yet connected, is something GML should clarify.
- Second: the distinction between showing data and interpreting data matters more than it might appear. Dashboards visualises. It does not explain causation, flag anomalies as significant, or recommend action. A chart showing the conversion rate dropped 18% last week is useful. Understanding whether that drop is a tracking break, a seasonal shift, a creative fatigue issue, or a competitor pricing move requires context that the visualisation does not provide. That context comes from the analyst, not the dashboard.
The real value proposition
The best use of Dashboards is removing the friction from exploratory analysis. The questions you currently don’t ask because building the view takes too long. The segment combinations you never check because the manual process isn’t worth it. Prompt-driven reporting makes the full surface area of your data accessible to people who wouldn't otherwise navigate to it. That has real value for accounts where reporting bottlenecks mean decisions get made on incomplete data.
The data quality dependency
A prompt-driven dashboard is only as useful as the data it's reading from. GA4 misconfigurations, conversion deduplication issues, and attribution window inconsistencies — Dashboards will surface all of it faster and more visibly than manual reporting does. If your underlying tracking has gaps, those gaps will show up more clearly, not disappear. This is not a criticism of the feature. It's the context every advertiser should hold before interpreting what the dashboard shows them.
The fluency risk
Well-designed charts are persuasive. A prompt-generated dashboard that looks authoritative can create false confidence in data that is either incomplete or misread. The risk isn’t that Dashboards produces wrong charts. It’s that the ease of generating them reduces the scrutiny applied to what they show. The performance marketers who will use this feature most effectively are the ones who ask, “Is this data clean?” before they ask, “What does this chart mean?”
What To Expect At Google Marketing Live On 20 May
Google has explicitly signalled that additional details will follow at Google Marketing Live (GML) 2026. Based on the pattern of pre-GML announcements, we expect the keynote to address several open questions that today’s announcement leaves unanswered.
The metrics scope is the most important. Whether conversion data, ROAS, product-level attribution, and audience-level performance are included at launch or planned for a later phase will determine how useful Dashboards actually is for e-commerce advertisers versus primarily brand-level metrics tracking.
The export and integration question also matters. A dashboard that lives inside Google Ads is useful. A dashboard whose data can be exported into client reports, connected to Looker Studio, or integrated with third-party measurement tools is significantly more useful. Google hasn’t confirmed either direction yet.
We’ll be in Dublin for both the Americas keynote on 20 May and the EMEA session on 21 May. A full post-event breakdown, including the complete Dashboards picture as announced, will be published within 48 hours.
Dashboards is an early look at what prompt-driven reporting inside Google Ads will eventually become. The announcement today is partial by design. Google is pre-seeding GML. What’s visible is promising. The natural language to visualisation mechanic addresses a real friction point. The narrow metrics scope and the absence of conversion data confirmation are the open questions that matter most for e-commerce brands.
Watch GML. The headline act is on 20 May.
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