Google Ads is entering another major phase of AI-driven advertising.
Google AI Max September 2026 Migration:
Starting in September 2026, some existing Search campaigns that use text customization or the campaign-level broad match setting are being automatically upgraded to AI Max for Search campaigns.
For advertisers, this is important because AI Max changes how Google can expand search-term matching, generate ad copy, select landing pages, and optimize campaigns using artificial intelligence.
Google has confirmed that campaigns using text customization — formerly known as automatically created assets — will be upgraded to AI Max beginning in September 2026. Campaigns using the campaign-level broad match setting are also included in this migration.
This does not mean Google is creating an entirely new campaign type.
AI Max is an optimization layer inside existing Search campaigns. Google says new Search campaigns now have AI Max selected by default during campaign creation.
For advertisers already running Google Search campaigns, now is the right time to understand what is changing, which features AI Max includes, how to protect campaign control, and how to measure performance after migration.
What Is Google AI Max?
AI Max for Search campaigns is a collection of Google Ads features designed to help advertisers expand reach and improve ad relevance using Google AI.
It works inside a standard Search campaign rather than replacing Search campaigns entirely.
Google describes AI Max as an optimization layer that brings together several automated capabilities, including:
- Search term matching
- Text customization
- Final URL Expansion
- Brand controls
- Locations of interest
- AI-powered reporting
The goal is to allow Google Ads to match ads with more relevant searches, create more relevant messaging, and send users to the most appropriate landing page.
Instead of depending only on manually selected keywords and manually written ad assets, AI Max can use information from the advertiser’s website, existing ads, landing pages, account data, and search-intent signals.
What Is Changing in September 2026?
Two existing Google Ads features are especially important in this migration.
1. Text Customization Campaigns Will Move to AI Max
Google says Search campaigns using text customization will begin being automatically upgraded to AI Max in September 2026.
Text customization was previously called automatically created assets.
It allows Google Ads to generate additional headlines and descriptions using information from:
- Landing pages
- Existing ads
- Keywords
- Website content
- Meta titles
- Meta descriptions
Google uses both extractive techniques and generative AI to produce these assets.
This means advertisers currently using text customization may see the feature become managed as part of the broader AI Max environment rather than as an isolated campaign option.
2. Campaign-Level Broad Match Is Also Moving to AI Max
Search campaigns using Google’s campaign-level broad match setting will also be automatically upgraded to AI Max starting in September 2026.
This setting previously allowed advertisers to force all keywords in the campaign to use broad match.
Google notes that the campaign-level broad match setting requires a conversion-based Smart Bidding strategy.
After migration to AI Max, advertisers need to pay particular attention to keyword prioritization and how broad-match traffic is handled.
Is AI Max a New Google Ads Campaign Type?
No.
This is one of the most important points advertisers should understand.
AI Max is not a separate campaign type like Performance Max, Search, Display, Shopping, or Demand Gen.
It is an optimization layer within an existing Search campaign.
Google’s setup documentation explicitly states that AI Max is not a new campaign type.
Advertisers can enable AI Max in existing Search campaigns or use it when creating new Search campaigns.
For new Search campaigns, Google currently selects AI Max by default during setup, although advertisers can review the individual features available.
The Core Features of AI Max
AI Max combines multiple automation tools into one Search-campaign framework.
Understanding each one is critical before allowing Google to automate more of your advertising.
1. Search Term Matching
Search term matching allows Google AI to find relevant searches that may not be covered directly by your existing keywords.
This gives Google more flexibility to identify additional query opportunities.
The benefit is potentially greater reach.
The risk is that advertisers must monitor search-term quality carefully to ensure Google is not expanding into low-value or irrelevant queries.
Search terms should therefore be reviewed regularly after AI Max is activated.
2. Text Customization
Text customization allows Google to create additional headlines and descriptions automatically.
Google says these assets are generated using information from the campaign and landing page.
For example, Google may analyze:
- Page title
- Page content
- Meta description
- Product information
- Existing responsive search ads
Google says these generated assets are periodically refreshed and may update when landing-page information changes.
Because of this, advertisers should make sure their landing pages accurately describe products, services, prices, offers, and business claims.
Poor website content can potentially lead to poor automated ad messaging.
3. Final URL Expansion
Final URL Expansion allows Google to select a landing page from your website that it believes is more relevant to the user’s query.
Instead of always directing traffic to the final URL that the advertiser originally selected, Google may choose another eligible page.
This can be powerful for large websites.
For example, imagine an online furniture store advertising from a broad category page.
A user searches for:
“ergonomic office chair with lumbar support”
AI Max may determine that a specific office-chair product or category page is more relevant than the general furniture page.
This can create a better user experience.
However, Final URL Expansion also means advertisers must carefully control which pages Google is allowed to use.
4. Brand Controls
AI Max includes brand-related controls that can help advertisers manage the searches and brands associated with campaign traffic.
These controls are especially important for companies separating:
- Brand campaigns
- Non-brand campaigns
- Competitor traffic
- Generic searches
Advertisers should review these settings after migration rather than assuming previous structures will behave exactly the same way.
5. Locations of Interest
AI Max can also use location-intent signals to improve relevance.
This can be useful for:
- Local businesses
- Service providers
- Hotels
- Real estate
- Travel advertisers
- Multi-location businesses
Instead of relying only on the user’s physical location, Google may understand location intent within the search itself.
Why Google Is Moving More Search Campaigns to AI Max
The direction of Google Ads has been clear for several years.
Google is increasingly using machine learning and AI across:
- Smart Bidding
- Broad match
- Performance Max
- Responsive Search Ads
- Automatically generated assets
- Demand Gen
- Search campaign optimization
AI Max brings more of these capabilities together inside Search campaigns.
For Google, the advantage is that AI can analyze far more signals than an advertiser can manually process.
These signals can include:
- Search intent
- Search-term context
- Landing-page content
- Device
- Location
- Historical conversions
- Ad relevance
- Audience behavior
- Website content
The objective is to find additional conversion opportunities that traditional keyword structures may miss.
For advertisers, however, automation should not mean abandoning oversight.
The best results are likely to come from combining Google’s automation with strong human strategy, accurate tracking, good landing pages, and careful reporting.
What Happens to Broad Match Keywords After Migration?
This is an important technical detail.
Google says that when moving away from the old campaign-level broad match setting into AI Max, broad-match keywords may no longer receive the same keyword-prioritization treatment they previously received.
Under the old setting, Google could prioritize those broad keywords as though exact-match versions were also present.
After moving to AI Max, advertisers who specifically want that behavior may need to add exact-match copies of important keywords.
For example, suppose you have:
best seo software
as a broad keyword.
If exact-query prioritization for that term is strategically important, you may consider also adding:
[best seo software]
as an exact match.
However, advertisers should not blindly duplicate every keyword.
Review actual search-term performance before making large account changes.
Smart Bidding Becomes Even More Important
AI Max works best when Google has reliable conversion data.
Campaign-level broad match already requires conversion-based Smart Bidding.
Common Smart Bidding strategies include:
- Maximize Conversions
- Target CPA
- Maximize Conversion Value
- Target ROAS
Poor conversion tracking can therefore become an even bigger problem under AI-driven campaign expansion.
Before migration, advertisers should verify:
- Conversion actions
- Primary vs secondary conversions
- Revenue values
- Offline conversions
- Enhanced conversions
- Duplicate conversions
- Tracking accuracy
If Google is optimizing toward the wrong event, AI Max may become very efficient at generating the wrong result.
For example, optimizing toward “page views” instead of completed purchases could dramatically reduce campaign quality.
Review Your Landing Pages Before AI Max Migration
Landing pages become more important because both text customization and Final URL Expansion can depend on website content.
Google specifically recommends ensuring landing-page content is accurate and up to date because AI-generated text can use it as source material.
Check:
- Page titles
- H1 headings
- Product descriptions
- Pricing
- Offers
- Contact details
- Meta descriptions
- Availability
- Shipping information
- Service areas
Outdated or misleading content should be corrected before enabling broader automation.
For e-commerce stores, expired products and outdated promotional pages should also be reviewed.
Tracking Templates Can Cause Problems With Final URL Expansion
Advertisers using advanced tracking should be especially careful.
Google warns that Final URL Expansion can sometimes create problems with tracking templates if dynamic landing pages are not handled correctly.
Google recommends compatible {lpurl} usage.
Potential issues can include:
- Broken landing pages
- 404 errors
- Incorrect redirects
- Lost tracking parameters
- Traffic being sent to static URLs
Advertisers using third-party click trackers should test landing-page behavior before relying heavily on Final URL Expansion.
This is particularly important for large agencies and enterprise accounts with complex tracking systems.
How to Prepare for the September 2026 AI Max Migration
Advertisers should not simply wait for Google to change the campaign automatically.
A proper audit is recommended.
Step 1: Identify Affected Campaigns
Look for Search campaigns using:
- Text customization
- Campaign-level broad match
These are the campaigns most directly associated with Google’s September 2026 automatic AI Max upgrades.
Step 2: Review Conversion Tracking
Make sure the campaign is optimizing toward real business outcomes.
Test conversion tags and values.
Step 3: Review Landing Pages
Ensure landing-page information is current and accurate.
Step 4: Check Final URL Expansion
Decide whether Google should be able to select different landing pages.
Use exclusions where necessary.
Step 5: Review Brand Controls
Protect branded and non-branded structures where required.
Step 6: Check Negative Keywords
AI Max does not eliminate the need for negative keywords.
Continue excluding irrelevant searches.
Step 7: Review Tracking Templates
Check {lpurl} and dynamic URL compatibility.
Step 8: Monitor Performance After Migration
Avoid making major changes immediately unless there is a serious issue.
Google recommends allowing approximately two weeks after enabling AI Max before making major optimizations, giving the system time to learn.
How to Enable AI Max Manually
Advertisers do not necessarily need to wait for automatic migration.
Google allows AI Max to be enabled in existing Search campaigns.
According to Google’s setup instructions:
- Open Google Ads.
- Go to Campaigns.
- Select the Search campaign.
- Open Settings.
- Select AI Max.
- Turn AI Max on.
- Review individual AI Max features.
- Configure campaign and ad-group level options.
Google also allows advertisers to make AI Max changes in bulk across multiple campaigns.
Can AI Max Be Turned Off?
Yes.
Google provides controls to disable AI Max or modify its individual settings.
However, advertisers should understand what they are disabling before turning it off.
Some previously separate settings may become part of AI Max once a campaign is upgraded.
Rather than immediately disabling the entire system, it may be better to identify which feature is causing a problem.
For example:
If the issue is poor landing-page selection, review Final URL Expansion.
If the issue is irrelevant queries, investigate search-term matching and negatives.
If the issue is unsuitable copy, review text customization.
This allows advertisers to maintain useful AI features while controlling areas that need tighter oversight.
How to Measure AI Max Performance
Google provides several reports for AI Max campaigns.
These include:
Search Terms Report
This shows the actual searches that triggered ads.
Use it to find:
- New conversion opportunities
- Irrelevant queries
- Negative keyword ideas
- Unexpected search intent
Keywords Report
This can help advertisers understand the contribution of:
- Existing keywords
- Broad-match expansion
- Keywordless targeting
Asset Report
Use the asset report to review:
- Headlines
- Descriptions
- AI-generated assets
- Performance signals
This is particularly important when using text customization.
Landing Pages Report
This report helps advertisers understand which pages received traffic.
It becomes especially useful when Final URL Expansion is active.
Google’s AI Max reporting documentation recommends allowing at least two weeks after activation before making major changes such as adding new negatives, unless immediate intervention is necessary.
AI Max vs Traditional Search Campaigns
Traditional Search campaigns rely more heavily on manual campaign structure.
Advertisers traditionally manage:
- Keywords
- Match types
- Ads
- Landing pages
- Negative keywords
AI Max expands the amount of automation Google can apply.
| Traditional Search | Search + AI Max |
|---|---|
| Primarily keyword-led | Keyword + AI matching |
| Advertiser-written ads | Advertiser + AI-created assets |
| Fixed landing page | Dynamic landing-page capability |
| More manual targeting | Greater automation |
| Manual expansion | AI-driven expansion |
| Standard reports | Additional AI Max reporting |
AI Max does not eliminate traditional Search strategy.
Instead, it adds automation around it.
AI Max vs Performance Max
AI Max and Performance Max should not be confused.
AI Max enhances Search campaigns.
Performance Max runs across multiple Google advertising channels.
Performance Max can serve across:
- Search
- YouTube
- Display
- Discover
- Gmail
- Maps
AI Max remains centered on Search campaign functionality.
For advertisers who want strong Search-specific control while using more AI automation, AI Max can be attractive.
Performance Max has a broader multi-channel role.
Potential Benefits of AI Max
Potential benefits include:
More Search Reach
AI Max may find queries not directly covered by your keywords.
Better Ad Relevance
Text customization can create assets relevant to specific searches.
Better Landing Pages
Final URL Expansion can send users to more relevant pages.
Less Manual Work
Advertisers may spend less time building extremely large keyword lists.
New Search Insights
Reports can reveal search behavior that traditional campaign structures may miss.
Potential Risks of AI Max
Automation also creates risks.
Less Predictability
Google may match ads with searches advertisers did not explicitly target.
Brand-Control Issues
Poorly configured campaigns can mix branded and non-branded intent.
Landing-Page Problems
Final URL Expansion may send traffic to pages you did not originally select.
AI-Generated Copy Issues
Automatically generated text still requires monitoring.
Tracking Errors
Complex templates may create URL problems.
Poor Conversion Signals
Bad tracking data can lead Google’s AI toward the wrong optimization goal.
For this reason, AI Max should be treated as a powerful optimization system — not an autopilot switch that removes the need for campaign management.
Should Advertisers Use AI Max?
For many advertisers, testing AI Max makes sense.
However, the answer depends on account quality.
AI Max is likely to work better when a business has:
- Accurate conversion tracking
- Strong landing pages
- Sufficient conversion volume
- Clear business goals
- Good product data
- Strong negative keyword management
- Reliable website content
Campaigns with weak tracking or poor landing pages should fix those problems first.
Automation cannot compensate for bad business data indefinitely.
Best Practices After Migration
After your campaign moves to AI Max:
- Do not panic if traffic patterns change.
- Give the campaign time to learn.
- Monitor Search Terms.
- Review AI-generated assets.
- Check landing pages.
- Add negative keywords where necessary.
- Add URL exclusions where required.
- Monitor CPA and ROAS.
- Review conversion quality.
- Compare results against the pre-migration period.
The goal should not simply be more clicks.
The goal should be better business outcomes.
Frequently Asked Questions
When does Google AI Max migration start?
Google says automatic upgrades for campaigns using text customization and the campaign-level broad match setting begin in September 2026.
Is AI Max a new campaign type?
No. AI Max is an optimization layer inside existing Google Search campaigns.
Which campaigns are being upgraded?
Google specifically identifies Search campaigns using text customization and the campaign-level broad match setting.
What was text customization called before?
Text customization was previously called automatically created assets.
Does AI Max use generative AI?
Yes. Text customization uses generative AI alongside other techniques to create additional ad assets using campaign and landing-page information.
Does AI Max change landing pages?
It can. Final URL Expansion can choose more relevant landing pages based on the search query.
Can I use negative keywords with AI Max?
Yes. Negative keywords remain an important control for managing search relevance.
How long should I wait before evaluating AI Max?
Google recommends waiting at least around two weeks after enabling AI Max before making major changes, giving the campaign time to learn and optimize.
Can AI Max be turned off?
Yes. Google provides options to disable AI Max or adjust its individual features.
Is AI Max the same as Performance Max?
No. AI Max enhances Search campaigns, while Performance Max is a broader multi-channel Google Ads campaign type.
Conclusion
The Google AI Max September 2026 Migration represents another major step toward AI-powered Search advertising.
From September 2026, Search campaigns using text customization or the campaign-level broad match setting begin moving into AI Max.
For advertisers, the biggest mistake would be ignoring the change.
AI Max can potentially improve reach, ad relevance, landing-page selection, and campaign efficiency.
But increased automation also means conversion tracking, landing-page accuracy, brand controls, negatives, URL exclusions, and reporting become even more important.
Advertisers should audit affected campaigns now, verify Smart Bidding and conversion tracking, review website content, check tracking templates, and monitor performance carefully after migration.
Google Ads is clearly moving toward a future where artificial intelligence handles more of the matching and creative process.
The advertisers most likely to benefit will be those who combine Google’s AI capabilities with strong human strategy, reliable data, and disciplined campaign management.
