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Industry Update
Source: Google Ads & Analytics announcements

Google Puts

AI Agents

Deeper Into Ads and Analytics Workflows

Ask Advisor, AI Overviews and prompt-based dashboards are moving campaign analysis from manual workflows into conversational, AI-assisted ones. The real question: what should marketers do with the time it frees up?
August 2026
7 min read
PPC · Google Ads · Performance Marketing
Industry Update
Ask Advisor "Why did conversions drop this week?" → Insight card AI Overview · Google Analytics Traffic dipped 14% vs last week — mobile channel Prompt-based Dashboard "Show me spend vs conversions by campaign"
What’s changing
3
new AI surfaces across
Ads & Analytics
5
steps in the human
validation workflow
7
areas to reinvest
the time saved
0
automatic causation
from a moved metric

Google Ads & Analytics, 2026

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Google AI Agents in Ads & Analytics

Google is pushing AI deeper into the day-to-day work of advertisers.

The latest expansion of Ask Advisor brings more agentic capabilities to Google Ads and Google Analytics, with Google aiming to help marketers find performance insights, investigate changes and build reports using natural-language prompts. The bigger shift is not simply another AI feature. It is Google moving parts of campaign analysis and reporting from manual workflows into conversational, AI-assisted processes.

For marketers running complex accounts, that could reduce the time spent finding and organising information. It also raises a more useful question: what should marketers do with the extra time, and how much decision-making should they hand to AI?

Ask Advisor

Ask Advisor Moves Beyond Simple Answers

Google is expanding Ask Advisor so advertisers can ask questions about their account and receive more contextual insights. Instead of manually moving between reports to investigate a performance change, marketers can use conversational questions to explore what happened and identify areas that may need attention.
Google Ads will also introduce personalised AI-powered insight cards on its homepage. These can surface account-specific developments, giving advertisers another way to spot issues without starting the analysis from scratch.
For PPC campaign management, that has a practical advantage: the first step in campaign analysis is often not optimisation, it is finding the problem. If AI can surface significant changes quickly, marketers can spend more of their time deciding whether those changes actually warrant action.

Analytics

Google Analytics Is Getting an AI Layer Too

Google is bringing AI Overviews to the Google Analytics homepage. The summaries are designed to highlight meaningful changes since a user’s previous login, such as shifts in traffic or seasonal sales activity. Google says users will also be able to move from these summaries into Ask Advisor for deeper investigation, with delivery planned through email and mobile notifications as well.

That changes the role of a dashboard. Instead of requiring marketers to regularly inspect every major metric, the platform can attempt to bring important changes to their attention — particularly useful for teams managing several campaigns, websites or markets where manually checking every account is inefficient.
Reporting

Prompt-Based Dashboards Could Reduce Reporting Work

Google is also introducing Dashboards in Google Ads, with Google Analytics support planned. The feature allows marketers to describe what they want to see using a text prompt. Google can then create visual reports and provide AI-generated summaries explaining the trends shown in those reports.
This is where agencies providing PPC marketing services could see an immediate operational benefit. Recurring reporting often involves the same process: pull the data, organise it, create charts and write observations. If AI can handle more of that production work, teams can redirect time toward campaign strategy, testing and client recommendations.
But faster reporting does not automatically mean better analysis. A generated chart can show that conversions declined. It cannot, by itself, establish why the decline happened or whether changing the campaign is the right response.

Human Oversight

AI Can Surface the Signal. Marketers Still Need to Judge It

Advertising data rarely exists in isolation. A conversion decline might be related to campaign performance. It could also be caused by a website problem, a pricing change, stock availability, seasonality, tracking issues or changes in lead quality.
An AI agent can analyse the data available to it. An experienced marketer has to connect that data to the business. That makes human validation critical — AI-generated insight should be treated as a starting hypothesis, not automatic proof of causation.
The strongest workflow
1
AI identifies a significant change.
2
The marketer investigates the underlying data.
3
Business context is added.
4
The team decides whether action is justified.
5
The change is tested and measured.
That is a more useful role for AI than simply allowing it to make changes because a metric moved.

Big Picture

Performance Marketing Is Becoming More Analytical

The update also fits Google’s wider move toward AI-assisted advertising. Google has been expanding AI across campaign creation, targeting, optimisation and measurement. Its AI Max product, for example, is designed to use AI-powered intent matching to help advertisers reach a broader range of relevant searches. The new Ads and Analytics capabilities extend that direction into analysis itself.
For performance marketing, the implication is significant. The amount of available marketing data is not getting smaller — if anything, it is becoming harder for teams to inspect everything manually. AI agents can help marketers identify where to look. The competitive advantage then shifts toward knowing what questions to ask, how to validate the answers and which actions are commercially worthwhile.

Takeaway

The Real Value May Be Time, Not Automation

Marketers should resist the temptation to measure these tools only by how many tasks they can automate. A better question is: what higher-value work can the team do with the time AI gives back?

If automated summaries eliminate repetitive reporting, that time could go into:
Landing-page testing
Conversion analysis
Budget allocation
Creative testing
Customer research
Offer development
That is where the business impact is likely to come from. Google’s AI agents may make it easier to find the numbers. The marketer’s job is still to understand what those numbers mean — and that distinction is unlikely to disappear anytime soon.

Frequently Asked Questions

Google is expanding Ask Advisor with agentic capabilities across Google Ads and Google Analytics. It is also introducing AI-generated performance summaries, personalised insight cards and prompt-based dashboards to help marketers analyse account data more quickly.
 
Ask Advisor can help advertisers investigate account performance using natural-language questions and surface insights that might otherwise require manually working through multiple reports. Marketers should still validate the findings before making campaign changes.
 
Google’s new Dashboards feature allows advertisers to describe the report they want using a text prompt. The system can generate visual reports and AI summaries explaining the trends in the data.
 
The more likely outcome is a change in how marketers spend their time. AI can handle more repetitive analysis and reporting, while marketers remain responsible for strategy, business context, testing and final decisions.
 
Performance Marketing depends heavily on analysing data and acting on measurable outcomes. Faster access to insights can reduce manual analysis and give teams more time to focus on optimisation, experimentation and commercial decisions.
 
They should use them as inputs rather than unquestionable answers. AI can identify useful patterns, but campaign performance is influenced by factors outside advertising data. Important changes should be checked against the underlying metrics and wider business context before implementation.
On this page
Ask Advisor
Analytics AI layer
Prompt-based dashboards
Human oversight
The bigger picture
The real value
FAQs
What’s new
Feature
Ask Advisor
Platforms
Ads + Analytics
Insight delivery
Email + mobile
Reports
Prompt-generated
Topics
PPC Campaign Management
PPC Marketing Services
Performance Marketing
Google Ads
Google Analytics
AI Agents
Key takeaways
Analysis is going conversational
Ask Advisor, AI Overviews and prompt-based dashboards move reporting from manual report-pulling to natural-language questions.
Signal, not certainty
AI can surface a moved metric. It can’t confirm why it moved — that still requires human validation and business context.
Time is the real dividend
The advantage isn’t automation itself — it’s what teams do with the hours it frees: testing, research, strategy.
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