Dynamic Search Ads Are Being Replaced By AI Max: What Google Ads Advertisers Need To Know
Google Ads is changing again, and this time the update affects one of the most useful search campaign features advertisers have relied on for years: Dynamic Search Ads.
Google has confirmed that Dynamic Search Ads are being sunset, with the feature due to be removed from the Google Ads platform by September. For many advertisers, this is a significant change, especially those who have used Dynamic Search Ads as a catch-all strategy to capture long-tail search traffic.
But Google is not simply removing Dynamic Search Ads without offering an alternative. The replacement is AI Max, a newer Google Ads feature designed to bring more automation, AI-led targeting, and ad customisation into standard search campaigns.
So, what does this change mean, how does AI Max differ from Dynamic Search Ads, and how should advertisers prepare?
What Are Dynamic Search Ads?
Dynamic Search Ads, often shortened to DSAs, allow Google to match users’ searches to landing pages on your website without relying on traditional keyword targeting.
Rather than building out every possible keyword, ad group, and landing page combination manually, Dynamic Search Ads scan your website content and use that information to decide when your ads should appear.
For example, Google can look at:
- The content of your landing pages
- The structure of your website
- The context of your campaign
- The relevance of a user’s search query
It can then match a user’s search to the most relevant page on your site.
Dynamic Search Ads can also dynamically generate parts of your ad content. Instead of relying entirely on manually written headlines, Google can use content from your landing pages and campaign assets to make the ad more relevant to the search.
Why Dynamic Search Ads Have Been Useful
Dynamic Search Ads have been particularly useful because they help fill the gaps that keyword targeting can miss.
Even well-built search campaigns can struggle to cover every possible search variation. This is especially true with long-tail searches, where users type highly specific queries that may not have enough search volume to justify their own keywords or ad groups.
DSAs have worked well as a safety net for this kind of traffic.
They have also been useful for advertisers with large websites, particularly ecommerce businesses. For example, an ecommerce store with hundreds or thousands of product or category pages would find it difficult to build a separate campaign structure for every page.
Dynamic Search Ads made this easier by allowing Google to match relevant landing pages to relevant user searches automatically.
In practice, DSAs gave advertisers a shortcut. They could capture additional search demand without needing to create an enormous campaign structure.
Why Is Google Removing Dynamic Search Ads?
When Google changes something in the Google Ads platform, it is usually moving advertisers further towards automation. This update is no different.
Dynamic Search Ads are being replaced by AI Max, which takes the same broad concept and pushes it further.
Like DSAs, AI Max can go beyond keyword targeting. It can use landing pages, campaign assets, keywords, previous user behaviour, and conversion data to decide when and how to show ads.
The key difference is that AI Max uses more advanced AI and machine learning throughout the process.
This means Google is not only matching landing pages to search queries. It is also using AI to help with bidding, targeting, and ad customisation.
What Is AI Max?
AI Max is a campaign setting within Google Ads that allows search campaigns to expand beyond a standard keyword setup.
When switched on, AI Max can use a wide range of signals to find additional search opportunities. These signals may include:
- Your landing page content
- Your existing keywords
- Your ad assets
- Previous user behaviour
- Previous conversion data
- Google’s own machine learning systems
The aim is to help your search campaigns reach relevant users that your keyword structure may not have captured.
In simple terms, AI Max is designed to find more opportunities, create more relevant ads, and use smarter bidding signals than Dynamic Search Ads.
How AI Max Differs From Dynamic Search Ads
The biggest difference between Dynamic Search Ads and AI Max is the depth of automation.
Dynamic Search Ads mainly focused on matching website content to user searches. They were useful, but their capabilities were more limited.
AI Max goes further because it can use AI to make decisions across more areas of the campaign.
Smarter Bidding
AI Max uses machine learning within the bidding process. This means it can use more signals when deciding how aggressively to bid for a specific user or search.
With Dynamic Search Ads, the campaign could match a query to a landing page, but the bidding intelligence was not as advanced.
AI Max has the potential to make more informed bidding decisions because it considers a broader set of data.
More Advanced Ad Customisation
AI Max can also customise ad content based on the user’s search.
This is not just basic keyword insertion. Instead, AI Max can look at the user’s query, understand the context, review your landing page, and create more tailored ad messaging.
For example, imagine an ecommerce advertiser selling pink dresses.
A standard search campaign might target terms like:
- Pink dress
- Pink mini dress
- Pink maxi dress
But a user might search for something much more specific, such as “pink glittery dress for graduation”.
That type of search may be too long-tail to justify its own keyword or ad group. AI Max can analyse the query, connect it to the most relevant landing page, and potentially tailor the ad around details such as “glittery” or “graduation”.
This is where AI Max has an advantage. It can respond to more specific search intent in a way that is difficult to build manually at scale.
The Potential Benefits Of AI Max
AI Max could be useful for advertisers who want to scale search campaigns and find additional traffic beyond their existing keyword setup.
The main benefits include:
- Broader reach beyond standard keywords
- Better coverage of long-tail search terms
- More personalised ad copy
- Smarter bidding signals
- Easier scaling for large websites
- Potential to find incremental conversions
For advertisers already using Dynamic Search Ads, AI Max may feel like the natural next step.
However, that does not mean it should be switched on without careful monitoring.
The Risks Of AI Max
The main risk with AI Max is that it can go further afield than Dynamic Search Ads.
That means it may generate more impressions, more clicks, and potentially more spend. But more traffic does not automatically mean better results.
Dynamic Search Ads always needed regular search term policing. Advertisers had to check the search terms report to make sure Google was matching the campaign to relevant searches.
AI Max will need the same level of attention, possibly more.
Because AI Max can expand reach more aggressively, advertisers should watch for:
- Irrelevant search terms
- Increased spend without increased conversions
- Lower quality traffic
- Poor conversion rates from AI Max traffic
- Budget being pulled away from better-performing areas
The important point is not to assume that extra impressions are automatically valuable. AI Max should be judged by the conversions and leads it produces, not just by how much additional traffic it drives.
Be Careful With Negative Keywords
When reviewing AI Max search terms, advertisers should avoid being too aggressive with negative keywords.
This is similar to broad match. Some search terms may look too generic or slightly outside the ideal targeting scope, but they may still convert.
In some cases, a search term that looks questionable on the surface can produce a qualified lead or valuable conversion.
That is why conversion data matters. Before adding negatives, check whether the term has driven results. Where possible, use deeper conversion tracking, such as qualified leads imported from a CRM, to understand the real quality of the traffic.
How To Prepare For The Change
Advertisers currently using Dynamic Search Ads should start planning their transition.
A sensible approach would be to:
- Review where Dynamic Search Ads are currently being used
- Check their performance against standard keyword campaigns
- Identify the landing pages and categories that rely on DSA traffic
- Test AI Max gradually rather than switching everything at once
- Monitor search terms closely after enabling AI Max
- Compare conversion volume, conversion quality, and cost per conversion
- Adjust budgets based on actual performance, not just traffic growth
You do not have to use AI Max immediately. One option is to pause Dynamic Search Ads when required and continue with a more traditional keyword structure first. AI Max can then be tested incrementally.
That approach gives you more control and makes it easier to judge the impact.
Final Thoughts
The removal of Dynamic Search Ads is another sign that Google Ads is continuing to move towards automation and AI-led campaign management.
For some advertisers, this change will be frustrating. Dynamic Search Ads have been a useful tool for capturing long-tail searches and filling gaps in keyword coverage.
However, AI Max is not just a direct replacement. It is a more advanced, more automated version of the same idea, with greater potential reach, smarter bidding, and more tailored ad content.
The opportunity is clear: AI Max could help advertisers find more incremental conversions from search.
The risk is also clear: it could spend more, reach further, and bring in lower-quality traffic without careful management.
The best approach is to test AI Max carefully, review the search terms report, track conversion quality, and hold the feature accountable for real performance.
For advertisers who manage the transition properly, AI Max could become a valuable part of the search campaign setup. For those who simply switch it on and leave it alone, it could quickly become an expensive experiment.
