Google isn’t asking. Starting September 2026, campaign-level Broad Match campaigns and legacy Automatically Created Assets are being migrated to AI Max, with Dynamic Search Ads following in early 2027. If you run Google Ads and haven’t received notification about this yet, you will.
The migration is automatic. Campaigns that don’t meet the criteria for AI Max conversion will be handled differently, but the direction is clear: Google is consolidating its ad products under an AI-first framework, and the controls advertisers have relied on for years are changing beneath the surface.
What that means for your cost-per-acquisition on day one of migration depends entirely on what you set up before the switch happens.
What Is Google Ads AI Max?
AI Max is Google’s campaign serving mode that replaces the manual targeting infrastructure in Broad Match and Dynamic Search Ad campaigns. It uses Google’s AI to expand keyword targeting, generate ad creative variations, and optimize bids across a broader set of signals than traditional keyword match types allow.
The model pulls from your landing page content, existing ad copy, and search query intent to determine where and when to show ads. Rather than bidding on specific keywords you’ve defined, AI Max uses those inputs as signals to infer search intent and serve ads across semantically related queries. For advertisers who have built their account structure around tight keyword control, this represents a significant change in how targeting actually works.
How AI Max Differs From Performance Max
Performance Max campaigns replaced Smart Shopping and Local campaigns in 2021 and run across all Google inventory: Search, Display, YouTube, Gmail, Maps, and Discover. AI Max is not the same product. It applies specifically to Search campaigns that were previously running Broad Match or Dynamic Search Ads. The distinction matters for budget management and reporting, since AI Max campaigns remain within the Search network rather than expanding across all channels the way Performance Max does.
Both products share the same underlying philosophy: Google’s AI determines targeting, creative, and bidding optimization rather than the advertiser making those calls manually. The practical difference is scope. Performance Max governs full-funnel inventory. AI Max governs Search-specific serving with expanded match and creative automation.
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What Triggers the Migration
Campaigns with campaign-level Broad Match enabled are the primary target for the September 2026 migration. Campaigns using legacy Automatically Created Assets, Google’s older version of AI-generated ad copy, are included in the same migration window. Dynamic Search Ad campaigns follow in early 2027.
Google’s stated rationale is that AI Max delivers better performance at lower cost-per-conversion than the legacy versions of these campaign types. The migration is not optional for affected campaign structures. Advertisers who have been running these campaign types need to understand what the new serving mode changes before the transition date, not after conversion rates shift unexpectedly.
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What Changes on Day One of Migration?
The most immediate change is in how your ads match to search queries. Campaign-level Broad Match gave advertisers control over which keywords triggered the broad match behavior. AI Max replaces that keyword-level trigger system with an intent-based model. Your ads will serve to queries that Google’s AI judges as intent-relevant, which typically means a broader and less predictable set of search terms than your keyword list was targeting.
Ad copy generation changes at the same time. Legacy Automatically Created Assets built ad variations from your existing copy. AI Max generates creative using your landing pages and seed assets as inputs. The text that appears in your ads may not be copy you reviewed or approved: it’s generated at the time of serving based on what the model determines is relevant to the query.
Match Type Controls That Disappear
Campaign-level Broad Match as a match type you explicitly control goes away. AI Max doesn’t use match types in the traditional sense. Your existing negative keywords carry over, but the positive keyword list becomes a set of signals rather than a set of triggers. That’s a meaningful distinction. Under traditional Broad Match, a query had to relate to your keyword. Under AI Max, Google’s model decides relevance based on intent signals that your keyword is one input among many.
Exact Match and Phrase Match campaigns are not part of this migration. Advertisers who want to maintain tighter query control can consolidate budget into Exact and Phrase Match campaigns outside the AI Max structure. This is one of the most important pre-migration decisions for any account that currently segments performance by match type.
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Search Term Visibility After Migration
Search term reporting in AI Max works differently from what you see in a standard Search campaign. Google limits the search term data surfaced in reports to terms that meet a privacy threshold, which means a portion of actual query traffic won’t appear in your search term report. This was already a feature of Performance Max reporting, and AI Max brings the same constraint to affected Search campaigns.
The practical consequence is that you lose some of the visibility into what’s actually triggering your ads. Negative keyword management becomes harder to do reactively: you can see less of the triggering traffic. Building a strong negative list now, before AI Max limits your query visibility, is the highest-leverage pre-migration step.
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What Manual Controls Do You Lose?
The controls that disappear under AI Max are primarily the ones that let advertisers restrict serving. Keyword-level bid adjustments are gone: AI Max handles bidding at the goal level, not the keyword level. Device-level bid adjustments that some advertisers use to suppress mobile or desktop serving are no longer available. Ad scheduling is retained but has less practical effect when the AI is making serving decisions based on conversion probability signals that include time-of-day patterns the advertiser doesn’t directly set.
Creative review is the other significant loss. Under traditional responsive search ad management, advertisers write the headlines and descriptions and control which combinations Google tests. AI Max can generate new copy from your landing page and existing assets without requiring advertiser approval for each variation. You set the inputs. The AI produces the outputs. The review step in between is removed.
What Controls Remain
URL expansion controls let you restrict AI Max to your specific landing pages rather than allowing it to serve to any page on your domain. This is a critical setting to verify before migration. Without URL expansion restrictions, AI Max can send traffic to pages that weren’t part of your original campaign intent, including pages you haven’t optimized for paid traffic conversion.
Brand controls allow you to specify brands your ads should not appear alongside or compete against in the auction. This is more relevant for brand safety than for performance control, but it’s a lever that remains available. Campaign-level negative keywords carry over from your existing campaign and remain editable after migration. These become more important, not less, as the only direct restriction tool available at the campaign level.
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How Do You Prepare Before the Migration Hits?
The preparation window before September 2026 is the only opportunity to build in the safeguards that AI Max doesn’t provide automatically. Waiting until after the migration to audit what changed is reactive: CPA spikes in the first weeks after migration are typically the result of problems that existed before the switch but weren’t visible until the AI started making serving decisions.
The first task is pulling a full search term report from your affected campaigns and building your negative keyword list to maximum depth. Every irrelevant query category, every competitor brand name you don’t want to appear for, every geographic or product modifier that doesn’t match your offer should be in negatives before migration. Once AI Max takes over, adding negatives reactively means paying for bad traffic first.
Asset and Landing Page Audit
AI Max generates ad creative from your landing page content and existing assets. If your landing pages have weak or generic copy, the AI will produce weak or generic ads. Auditing landing page copy before migration, tightening the value proposition, and making sure the page clearly states what the business does and who it serves gives AI Max better inputs to work from.
Your existing headlines and descriptions should be reviewed for specificity. Vague assets produce vague AI-generated variations. Specific, benefit-led copy with clear calls to action gives the model material that translates into ads worth serving. This is also the right time to verify your conversion rate optimization setup is clean: AI Max optimizes toward the conversion signals you’ve defined, so a misconfigured conversion action will train the model on the wrong goal.
Conversion Tracking Verification
AI Max’s bidding model is only as good as the conversion data it’s optimizing toward. Before migration, verify that every conversion action in your account is firing correctly, that values are assigned accurately if you’re using value-based bidding, and that you haven’t accumulated conversion actions that are miscategorized or double-counting.
Accounts with messy conversion tracking hand that noise to the AI as signal. If your conversion setup tells the model that a page view is worth as much as a form submission, AI Max will optimize for page views at form submission cost. Cleaning up conversion tracking before migration means the model starts with accurate data rather than spending the first weeks of AI control learning from a corrupted baseline.
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Budgeting for the Transition Window
The transition window, roughly the first four to six weeks after migration, is when AI Max’s model is calibrating to your account’s conversion patterns. During this period, CPAs tend to be less stable than they are once the model has sufficient data. Planning for higher CPA variance in the first month after migration, and not making dramatic budget cuts or bid strategy changes during that window, gives the model the data volume it needs to stabilize.
This is the same principle that governs Smart Bidding ramp periods: the model needs conversion data before it can optimize efficiently. Underfunding the campaign during calibration extends the ramp period. Overcorrecting on bid targets before the model has stabilized pushes CPAs higher. The right approach is to set the target, give the model data volume, and hold adjustments until you have at least 30 days of post-migration performance to evaluate.
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Does AI Max Work Differently for Different Campaign Types?
The migration affects different businesses in different ways depending on how their campaigns were structured before the switch. For businesses running broad match campaigns with tight geographic targeting and a small keyword list, AI Max’s intent expansion can introduce irrelevant traffic from the start. The negative keyword list built before migration is the primary defense.
For ecommerce PPC accounts with large product catalogs, AI Max’s ability to match product-level intent signals from landing pages can actually improve relevance compared to manually maintained keyword lists. The question is how well the landing pages and asset inputs reflect the actual product offer, since that’s what the model is working from.
Local and Service-Area Businesses
Local PPC management campaigns face a specific challenge with AI Max: geographic expansion. AI Max can serve to users searching from outside your intended service area if the model judges the query intent as relevant. Location targeting remains available and should be set to “presence only” rather than “presence or interest” before migration. The “presence or interest” setting allows Google to show ads to users who express interest in your location but aren’t physically there, which produces out-of-area clicks that don’t convert for businesses serving specific geographic areas.
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Verifying location targeting settings is a pre-migration task that often gets overlooked, since the setting predates AI Max and doesn’t change during migration. It does become more consequential: AI Max’s broader intent matching amplifies whatever geographic scope your campaign was already set to.
What Should You Monitor After Migration?
The first thing to monitor is search term report coverage. The volume of visible queries compared to total impression share tells you how much traffic you can see and act on. A significant gap between impressions and visible search terms is normal, but a very high proportion of “other” traffic suggests the model is serving across query types you can’t evaluate.
Cost-per-conversion is the primary performance metric to track against your pre-migration baseline. Week-over-week stability during the calibration period matters more than individual daily fluctuations. If CPA is trending upward through weeks three and four rather than settling toward baseline, that’s the signal to investigate before week five compounds the problem.
Impression Share and Query Expansion Signals
Impression share shifting upward after migration typically means AI Max is bidding on more queries than your previous keyword list covered. That’s not automatically a problem, but impression share growth paired with conversion rate decline is the signal that the expansion is bringing in non-converting traffic. The corrective action is negative keywords and, if the pattern persists, potentially restructuring into Exact and Phrase Match campaigns outside AI Max.
Click-through rate changes are a proxy for creative relevance. If CTR declines after migration, the AI-generated copy isn’t resonating as well as your previous manually written ads. This points back to asset quality: reviewing and improving the landing page copy and headline assets gives the model better material to draw from.
The Migration Is Happening. The Question Is How Ready Your Account Is.
AI Max isn’t the end of effective paid search. Advertisers who prepare methodically, clean up their conversion tracking, build thorough negative keyword lists, audit their creative assets, and verify location and URL settings before the migration date will have better outcomes in the transition window than those who react after the fact.
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The accounts that struggle post-migration are typically the ones where the problems existed before migration but were masked by the manual controls that AI Max removes. Messy conversion tracking and thin asset libraries don’t disappear in migration. They become the inputs the AI optimizes from.
For businesses that want a structured pre-migration audit before September 2026, The Ad Firm’s PPC management team works through exactly this kind of account review. Contact The Ad Firm to start before the migration window closes.
Frequently Asked Questions
Can I opt out of the AI Max migration?
No. Google’s migration is mandatory for affected campaign types. The timeline covers all Broad Match campaigns with Automatically Created Assets, plus Dynamic Search Ads in early 2027. None of these are optional migrations. The preparation decisions available to advertisers are about the state of the account going into migration, not about avoiding it.
Will my existing negative keywords carry over?
Yes. Campaign-level and account-level negative keywords carry over to AI Max. Ad group level negatives also carry over within the migrated campaign structure. The issue isn’t that negatives fail to transfer. It’s that your existing negative list may not be deep enough for an AI Max serving model that matches to a broader intent range than your previous keyword list did. Building negatives before migration is still the recommended preparation step.
What happens to my Exact Match and Phrase Match campaigns?
They are not affected by the AI Max migration. Only campaigns running campaign-level Broad Match and Dynamic Search Ads are in scope. For advertisers who need keyword-level control, Exact and Phrase Match campaigns remain unaffected and can absorb budget shifted away from Broad Match. Running parallel campaigns lets you compare AI Max performance against controlled match type performance in the same account.
How long does AI Max take to learn?
Google’s general guidance for AI-powered campaign types is a learning period of four to six weeks, requiring a minimum of 50 conversions during that window for the model to optimize effectively. Accounts with lower conversion volume will have a longer and less stable calibration period. Setting realistic CPA targets during the learning period and avoiding major structural changes until the model has stabilized is the standard recommendation for managing AI Max’s ramp.
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