Standalone Dynamic Search Ads will be phased out as Google shifts to AI Max for Search. Advertisers must prepare for new targeting, creative controls, and campaign structures before the February 2027 migration.
Google has confirmed that standalone Dynamic Search Ads (DSA) campaigns will be retired, with AI Max for Search set to take their place starting February 2027. While advertisers were initially told that DSA campaigns would be automatically migrated in September, Google extended the timeline after industry feedback. Users can now create new DSA campaigns until January 2027, but automatic migration will begin the following month.
DSA has long been a valuable tool for advertisers lacking robust non-brand search term data. It enables granular site segmentation and provides insights into how Google categorizes website content, helping marketers organize and prioritize non-brand keyword strategies. Historically, DSA search term reports have guided keyword selection and campaign focus.
AI Max for Search introduces a fundamentally different approach. Unlike DSA, where the website is the primary targeting signal, AI Max incorporates a broader set of signals-such as existing keywords, ad copy, budget, and real-time user intent. Campaign architecture also shifts: DSA operates as a standalone campaign or ad group, while AI Max functions as an additional layer within existing Search campaigns.
Creative asset generation changes as well. DSA dynamically generates headlines and display URLs from website content, with advertisers supplying static descriptions. In contrast, AI Max uses text customization, drawing from website copy, current ad assets, and search query context to craft headlines and descriptions. Traffic redirection is also more flexible: DSA restricts ads to specific dynamic ad targets, but AI Max leverages final URL expansion, potentially sending users to any relevant page on the domain, subject to URL exclusions.
Control features are more advanced in AI Max. While DSA offers negative keywords and URL exclusions, AI Max adds brand inclusion and exclusion lists at the ad group level, geographic intent targeting, and text guidelines for brand safety. These controls help advertisers maintain oversight as automation increases.
For those managing DSA campaigns, early migration is recommended. By upgrading before the deadline, advertisers retain more control over the transition and can monitor performance during the changeover. The manual upgrade option is available in the Dynamic Search Ads settings within Google Ads. Once upgraded, campaign behavior will differ significantly from legacy DSA campaigns.
After migration, it’s crucial to review AI-generated responsive search ads for brand compliance. AI Max’s Text Guidelines-also called Guardrails-allow up to 25 search term exclusions and 40 messaging restrictions, ensuring automated ad copy aligns with brand standards. Advertisers can audit assets created by Google AI by navigating to Ads > Assets and filtering by the "Added by" column.
Monitoring search terms remains essential. While DSA matches ads based on website crawling, AI Max factors in additional user intent signals and expands keyword matching using broad match and keywordless technology. This increases reach but also the risk of irrelevant placements. Advertisers should regularly review search term reports and apply exclusions as needed.
Final URL expansion requires close attention. With this feature enabled, AI Max can direct traffic to any relevant landing page on the domain if it predicts higher conversion potential. Use URL exclusion lists and brand controls to prevent unwanted page destinations and maintain campaign focus.
As Google’s automation deepens, the role of paid search marketers is shifting from manual campaign management to strategic oversight. Understanding AI Max’s mechanics is now critical for guiding technology toward business objectives. This transition echoes broader changes in Google’s ad ecosystem, such as the recent expansion of Demand Gen campaigns with business data feeds for non-retail sectors.
Google’s algorithms excel at pattern recognition but lack the context of specific business goals, inventory challenges, and brand voice. Advertisers must act as translators between automated systems and commercial priorities, ensuring technology serves-not overrides-their objectives.
