Google Ads AI dashboards: Access and preparation
Google Ads AI dashboards generate performance views from prompts and refine them through conversation. The official help checked on October 11, 2026 describes a closed beta. Official explanation
Verify access, then design the metrics and comparisons. The preparation also works for traditional dashboards.
Access and current limitations
The FAQ requires an allowlisted account and active NDA, and directs interested advertisers to their Google Ads sales representative.
Although the feature table describes broader capabilities, the FAQ lists current restrictions on exporting data, saving reports, and editing statuses or budgets. Do not assume every listed capability is available. Access and limitations
Previously saved dashboards remain accessible through the earlier version. You can use the following design manually if you lack beta access.
Define the decision before the view
Daily monitoring and monthly budget decisions require different information.
| Decision | Possible display | Additional context |
|---|---|---|
| Is spending on plan? | Daily cost and breakdowns | Budget changes and delivery days |
| Have outcomes changed? | Outcomes, cost, acquisition cost | Definitions and measurement status |
| Where should we investigate? | Campaign-level spend and outcomes | Objectives and change history |
| How does spend relate to revenue? | Available revenue and cost | Returns, profit, and business records |
This is an internal design, not a claim that Google Ads automatically supplies every business revenue or profit field.
A list sorted by acquisition cost alone may obscure the issue. Read spend, counts, comparison changes, and missing measurement together.
Standardize scope, dates, and outcomes
Decision this dashboard supports:
Accounts and campaigns:
Reporting and comparison periods:
Whether periods are complete:
Timezone and currency:
Metrics and conversion definitions:
Measurement and delivery change dates:
Unavailable information:
A conversion definition changed mid-period can change the meaning behind the same label. For cross-tool comparisons, see GA4 and Google Ads conversion differences.
A dashboard prompt
This is a requirements example, not a guarantee that a beta supports every requested operation.
Create a dashboard for reviewing Google Ads performance.
Decision:
Accounts and campaigns:
Reporting and comparison periods:
Outcome definition:
Show spend alongside outcome counts, with daily trends and campaign breakdowns.
Make numerators and denominators clear for rates and unit costs.
Do not calculate an ordinary acquisition cost when outcomes are zero.
Mark unavailable information as unknown.
Start with a view that lets me verify scope, dates, and metrics.
Confirm the initial scope before adding breakdowns. Compare with account reports under the same conditions before polishing the display.
Build a traditional dashboard manually
Open “Campaigns” → “Insights and reports” → “Dashboards,” then create or edit a dashboard. Add scorecards, reports, and notes. Traditional dashboard steps
Start with cost and outcome cards, a trend chart, and a note recording periods, outcome definitions, and measurement changes. That context helps another reviewer interpret the display.
Check beta limitations separately from the earlier version's saving and sharing capabilities.
Verify the completed view
| Check | Method |
|---|---|
| Scope | Match the account and campaign selection |
| Period | Distinguish partial and complete periods |
| Metric | Confirm outcome definitions and aggregation |
| Denominator | Identify zero outcomes and unavailable data |
| Summary | Match representative values to source reports |
| Decision | Separate observations from hypotheses and assign follow-up |
A dashboard identifies where change occurred; it does not prove the cause. Use the monthly marketing report template when turning observations into decisions.
Start by verifying access and drafting the display requirements. Shoryaku AI can discuss improvement opportunities using connected Google Ads data. It serves a different role from creating AI dashboards inside Google Ads.