Google Ads is removing the campaign-level language targeting setting from Search campaigns and Search inventory within Performance Max. This update shifts more responsibility on Google’s AI technology to match ads based on user language comprehension and the language of creatives and landing pages.

Overview of Language Targeting Changes in Google Ads

Traditionally, Google Ads allowed advertisers to specify one or more languages at the campaign level. Google then combined this setting with its own signals, including query language, user device language, and other AI-derived data to decide the eligibility of ads to serve to users. Advertisers could also control language targeting to ensure their ads reached people who understood specific languages.

Starting in late September 2026, Google is removing the campaign-level language setting for Search campaigns and Search inventory in Performance Max campaigns. Instead, ad delivery will be determined by the language of the creative assets and landing pages, along with Google’s evolving understanding of which languages users comprehend. This change aims to simplify campaign setups, reduce unintended traffic restrictions, and harness Google’s AI capabilities to optimize ad matching.

How Language Matching Will Function Post-Update

When a user searches, Google will evaluate the user’s language preferences and query language through advanced AI signals. If multiple languages are eligible, the system prioritizes ads and landing pages matching the user’s query language when clear. However, for ambiguous queries, such as brand names identical in multiple languages, Google will prioritize the user’s preferred language based on historic behavior.

For example, a bilingual user comfortable in English and Spanish may see ads in either language, depending on which language the AI determines as a better fit for the query and user profile. This new approach can increase reach in multilingual markets but places greater reliance on Google’s automated decision-making rather than explicit campaign settings.

“By relying on AI-derived language matching, advertisers can reduce the complexity of managing separate campaigns for each language while still effectively reaching multilingual audiences,” explained a Google representative during a recent advertiser roundtable.

Impact on Performance Max and Other Channels

The campaign-level language targeting is also removed for Google Search inventory within Performance Max campaigns, but for other channels in Performance Max—such as YouTube, Display, and Discover—the campaign-level language targeting remains in place. This hybrid approach acknowledges the different ways language signals vary across channels.

Considerations for Advertisers with Specialized Language Use Cases

While Google maintains the change should support most existing language targeting use cases, some advertisers raised concerns about nuanced scenarios. Regulated industries, such as insurance and finance, often use language targeting to comply with coverage and documentation requirements. They need to provide evidence of equitable ad delivery across languages.

However, with language eligibility now determined algorithmically by Google, rather than by explicit campaign settings, proving how and to whom ads were served by language becomes more challenging. Currently, Google has not announced plans for enhanced language delivery reporting that would help advertisers document language-specific ad impressions and performance.

“The removal of explicit language settings introduces complexities for compliance documentation, especially for regulated sectors that must demonstrate fair language-based ad delivery,” noted a compliance specialist at a multinational insurance firm.

AI-Generated Creatives and Multilingual Campaigns

Advertisers employing AI Max asset generation should note that creatives in multiple languages might be served to users fluent in those languages, even if the user’s query is in a different language. For instance, in a Quebec-targeted campaign, French ads could serve to English-searching users if Google’s AI determines the user understands French and the creative provides a better match.

This scenario highlights Google’s emphasis on user language comprehension over query language strictness, enabling broader multilingual ad delivery. Advertisers must ensure their AI-generated creatives and landing pages accurately reflect intended languages to avoid confusion or mismatched user experiences.

Recommendations For Advertisers Moving Forward

For most advertisers, the language targeting update requires minimal structural changes. Campaigns with distinct language segments can continue operating as before, with creative and landing page languages driving targeting instead of campaign settings.

Advertisers in international, travel, and regulated industries should review their campaigns closely. If campaign-level language targeting was a critical control for audience eligibility or compliance, they may need to adapt strategies and monitor results carefully after the update.

Monitoring search terms, geographic distribution, and performance changes post-rollout will be essential, especially for those running multilingual campaigns and using AI-generated assets. Understanding how AI influences bidding and performance metrics can also help improve outcomes in this evolving targeting environment.

Potential Challenges and Future Outlook

The update simplifies language targeting by removing redundancy but entrusts Google’s AI with greater control. Advertisers should remain vigilant for unexpected shifts in traffic or user composition. Changes in language matching might affect campaign efficiency if creatives and landing pages are not properly localized or if the AI misinterprets user language preferences.

Furthermore, the lack of granular language delivery reporting limits advertisers’ insight into which language ads served, creating opacity that might be problematic for those requiring detailed campaign documentation.

Advertisers interested in competitive insights can benefit from solutions like Adsroid’s competitive keyword and ad monitoring tools to track multilingual competitors and inform adaptive strategies across languages and markets.

Google Ads API and Technical Considerations

Developers working with the Google Ads API should update campaign creation and management workflows to stop specifying language criteria for Search campaigns. Although existing language criteria will remain in accounts, they will no longer influence ad serving, potentially simplifying API integrations but requiring validation to prevent obsolete configurations. For more detailed API integration options, see Adsroid’s API resources.

Conclusion

The removal of campaign-level language targeting in Search campaigns marks a significant shift toward AI-driven audience matching based on ad creative language and user comprehension. While it promises streamlined campaign management and broader reach in multilingual contexts, advertisers with nuanced or regulated requirements should proactively evaluate and adjust their strategies.

Embracing this update includes ensuring high-quality, language-appropriate creative assets and monitoring performance data for anomalies. Strategic use of AI-powered tools and competitive intelligence further supports adaptation in this evolving landscape.

For advertisers seeking an intelligent platform to optimize multilingual and AI-driven campaigns, Adsroid’s advanced features offer automation and insights to maximize ROI and maintain compliance.