Google Ads AI Max gives Google more freedom to decide which searches your campaign should appear for, which text to show and, in some cases, which page of your website somebody should land on.
That makes one question increasingly important: if Google’s AI is making more campaign decisions, can the advertiser actually see what it did?
The answer is increasingly yes, although the reporting is spread across several parts of Google Ads and there are still limits to what advertisers can inspect.
Google announced another reporting change on 23 September 2026 designed to bring the AI-driven Search journey together more clearly. The idea is simple: connect the search that triggered the advert with the creative the person saw and the page they eventually reached.
That matters because automation is only useful if a business can still tell whether it is producing the right traffic, showing appropriate messaging and sending potential customers somewhere sensible.
What is Google Ads AI Max?
Google Ads AI Max is a set of AI-powered features for Search campaigns rather than an entirely separate advertising format.
According to Google’s current AI Max documentation, it can expand several parts of a Search campaign.
These include:
- search term matching, allowing Google to reach relevant searches beyond the advertiser’s conventional keyword setup;
- text customisation, where Google can generate additional headlines and descriptions; and
- Final URL expansion, where Google can direct somebody to a different relevant page on the advertiser’s website.
Those capabilities can potentially make a campaign more flexible.
They also create a very obvious accountability problem.
If Google chose the search, generated part of the advert and selected the landing page, an advertiser needs enough reporting to work backwards and understand what actually happened.
Why Google Ads AI Max matters more in September 2026
This is not simply a new optional feature that most advertisers can ignore.
Google says that, starting in September 2026, Search campaigns using its campaign-level broad match setting are being automatically upgraded to AI Max.
The same applies to campaigns using text customisation, previously known as automatically created assets.
You can read Google’s current guidance on the broad match campaign setting and text customisation.
That makes understanding AI Max increasingly relevant even for businesses that did not sit down and consciously decide to hand an entire Search campaign over to AI.
It is worth checking the settings of existing Search campaigns rather than assuming they still work exactly as they did several months ago.
What can Google Ads AI Max actually decide?
The important thing is to separate AI Max into its individual decisions.
It is not simply an on/off switch labelled “AI”.
It can expand which searches trigger your ads
AI Max can use broader matching and keywordless technology to identify searches beyond the keywords explicitly entered into the campaign.
That can create opportunities to reach relevant demand that the advertiser did not anticipate.
It can also create traffic that needs reviewing.
The fact that Google’s system considers a search relevant does not automatically mean that search represents a profitable potential customer for your business.
It can create additional advert text
With text customisation enabled, Google can create additional headlines and descriptions using information including your website, landing pages, existing adverts and keywords.
Google says these assets are marked as Google AI within the relevant asset reports.
That gives advertisers an important quality-control opportunity. Generated copy should still be reviewed for accuracy, relevance and whether it represents the business properly.
It can choose a different landing page
Final URL expansion can allow Google to send the user to another page on your domain when it believes that page is more relevant to the search.
This is potentially useful on websites with several relevant service or product pages.
But it also means the landing page is no longer always the one that the advertiser originally selected.
We have previously looked at whether Google Ads traffic should go to your homepage or a dedicated landing page. AI Max adds another dimension to that decision: Google itself may sometimes choose a different destination.
Can you see which searches Google Ads AI Max matched?
Yes, to a useful degree.
Google’s current AI Max reporting documentation says advertisers can use the Search terms report to understand traffic generated through AI Max.
You can add the Source column and filter the match type for AI Max.
The Keywords report also separates two particularly useful categories:
- AI Max expanded matches — traffic generated from broader matches based on keywords already in the campaign; and
- AI Max landing page matches — searches matched using information from landing pages or assets rather than the advertiser’s keywords alone.
That distinction helps answer an important question.
Did Google stretch an existing keyword, or did it effectively find the search using the content of the website?
Those are quite different forms of automation and may deserve different scrutiny.
Can you see the search term, advert and landing page together?
This is where the reporting is becoming considerably more useful.
Google’s current AI Max reporting includes a view called Search terms and ad combinations.
It links together the search term that triggered the advert with the headline and landing page used for that interaction.
Google then announced on 23 September that it is developing this into a clearer unified reporting experience showing the Search advertising journey in one place.
According to Google’s announcement, the reporting is intended to show:
- which search term triggered the advert;
- which creative assets the customer saw; and
- exactly where they landed on the website.
Google says additional availability details for the newly announced interface will be provided later in 2026.
That last point matters. We would not describe the September announcement as though every advertiser necessarily has the complete new interface today.
However, much of the underlying reporting needed to audit AI Max already exists within the current platform.
How to audit a Google Ads AI Max campaign
If we were reviewing an AI Max campaign, we would not begin by asking whether Google’s AI generated more clicks.
We would trace the decisions through the campaign.
1. Start with the search term
What did the potential customer actually search for?
Is that search commercially relevant to the business, or has AI Max interpreted relevance too broadly?
A search can look semantically related while still representing the wrong customer, location, service or stage of the buying process.
The search terms report remains one of the most important checks in paid search because it shows what people actually typed rather than what the advertiser hoped the keywords would attract.
2. Check why the search was eligible
Next, determine whether the traffic came from a conventional keyword, an AI Max expanded match or matching based on your landing pages and assets.
This helps identify where the additional reach came from.
If most of the unwanted traffic appears under one particular source, that gives you a more useful diagnosis than simply deciding “AI Max doesn’t work”.
3. Check the advert the user actually saw
Look at the headline and other assets served for the search.
If Google created additional text, ask whether it is accurate and whether the promise made in the advert matches what the business actually provides.
Automation should not remove brand and factual review.
4. Check where Google sent the visitor
Then inspect the landing page.
Was it the page you expected?
Was it chosen using Final URL expansion?
Most importantly, was it genuinely a good destination for that search?
Google’s landing-page report includes advertiser-provided URLs and URLs chosen through Final URL expansion. Google says the Selected by column can identify when AI Max selected the page.
5. Follow the journey through to the business outcome
This is the part that should not disappear just because the platform uses AI.
A seemingly impressive match is only valuable if it produces worthwhile commercial activity.
Did the visitor enquire?
Did the lead have any value?
Did the sale justify the acquisition cost?
At Nort, we would still judge paid advertising performance by meaningful outcomes rather than treating additional reach or cheap clicks as success by themselves.
What controls do advertisers still have?
Google Ads AI Max is more automated, but that does not mean advertisers lose every control.
Google currently provides several ways to steer or restrict the system.
Search terms that are clearly unsuitable can be added as negative keywords.
Landing pages can be excluded if you do not want Google to use them.
URL inclusions can also be configured to guide AI Max towards particular groups of pages.
Brand inclusions and exclusions give advertisers additional control around brand-related matching.
Generated text assets can also be inspected, and individual unwanted assets can be removed.
The important distinction is that AI Max increasingly changes the advertiser’s job from specifying every possible outcome in advance to setting sensible boundaries and auditing what the system produces.
Don’t react to every strange search term immediately
There is another useful piece of current Google guidance here.
Google recommends allowing at least two weeks after enabling AI Max on a new or existing Search campaign before making changes such as adding negative keywords.
Its reasoning is that the system needs a ramp-up period to learn and optimise.
That does not mean an advertiser should leave obviously inappropriate or dangerous traffic running simply because two weeks have not passed.
It does mean that repeatedly changing a campaign every time one unusual search appears can make it harder to understand how the system is actually performing.
This is similar to the issue we covered in our article on Google Ads performance changes in August 2026: automation becomes much harder to assess when the advertiser is simultaneously changing multiple settings in response to short-term movement.
There are still limits to Google Ads AI Max reporting
More reporting should not be confused with perfect transparency.
Google itself notes that filtering the search terms report for AI Max may show lower numbers because the filter does not include traffic grouped under Other search terms.
That means an advertiser should not assume that every single AI-driven interaction can always be reconstructed in complete detail.
There is also a difference between knowing what happened and knowing exactly why the machine-learning system decided to do it.
A report might show that a particular search triggered a Google-generated headline and that the user was sent to a particular service page.
It does not necessarily expose every signal or calculation behind that decision.
For campaign management, though, the more useful question is often simpler:
Was that decision good for the business?
Does more reporting make Google Ads AI Max safer to use?
It makes it easier to evaluate.
That is not quite the same thing.
AI Max can potentially find searches and combinations that a manually structured campaign would miss. Google’s reporting improvements make it easier to inspect those decisions afterwards.
But good reporting cannot rescue poor conversion tracking, unclear commercial targets or a website full of pages that you would not actually want paid traffic landing on.
Automation works with the information and boundaries available to it.
If a campaign records every form submission as an equally valuable conversion, Google has limited information about which enquiries actually became useful customers.
If the website contains several outdated or irrelevant pages, Final URL expansion creates another reason to review which pages AI Max is allowed to use.
If the advertiser does not understand what a profitable acquisition costs, more sophisticated matching cannot answer that commercial question for them.
Google is automating more of Search advertising, not less
The September changes make Google’s direction fairly clear.
AI Max is absorbing existing Search campaign features, including the campaign-level broad match setting and text customisation, while Dynamic Search Ads are also scheduled to move into AI Max from February 2027.
The practical response should not be either blind enthusiasm or automatic rejection.
Businesses need to understand which decisions Google is making, inspect the resulting search terms, creative and destinations, and connect those decisions to actual leads, sales and revenue.
That is why Google’s new reporting matters.
The more freedom an advertising platform has to make decisions with your budget, the more important it becomes to see the consequences of those decisions.
So, can you actually see what Google’s AI is doing?
With Google Ads AI Max, advertisers now have a substantially better view than the phrase “AI-powered advertising” might suggest.
You can inspect AI Max search terms, distinguish different sources of expanded traffic, review Google-generated assets, identify landing pages chosen through Final URL expansion and increasingly connect the search, advert and destination into one journey.
That does not give advertisers a complete explanation of every machine-learning decision, and some search activity can still be grouped in ways that limit visibility.
But it gives businesses enough information to ask the questions that actually matter.
Did Google find the right potential customer?
Did it show an accurate advert?
Did it send them to the right page?
And did that journey produce a result worth paying for?
If those questions cannot be answered, giving Google more automation is difficult to justify. If they can, AI Max becomes something that can be tested and managed rather than simply trusted.
