Google Ads: Language Targeting Changes and Implications for Multilingual Campaigns
Google Ads Drops Language Targeting for Search Campaigns in September
Google will remove campaign-level language targeting from Search campaigns and Performance Max in late September 2026, shifting control to AI-driven signals and raising compliance concerns for regulated advertisers.
The change represents one of the more significant structural shifts in how Google Ads manages multilingual campaigns. For most advertisers the update will pass quietly, but for international brands and regulated industries, the removal of a long-relied-upon control layer could create real operational challenges.
What Is Actually Changing
Starting in late September 2026, advertisers will no longer be able to set language targeting at the campaign level for Search and AI Max for Search campaigns. Google will instead rely on the language of the ad creative and landing page, combined with its own AI-based understanding of which languages a user comprehends.
For Performance Max campaigns, the change is partial. Language targeting will be removed for Google Search inventory within those campaigns but will remain in place for other channels such as display and video.
Currently, Google uses two parallel systems to determine ad eligibility. Advertisers select a target language and Google separately evaluates whether a user understands that language based on query language, user settings, and other AI signals. The upcoming change eliminates the advertiser side of that equation for Search, leaving Google's automated systems as the sole arbiter.
Google has stated that advertisers do not need to restructure existing campaigns. Accounts that separate English, Spanish, or other languages into individual campaigns can maintain those structures, with Google using the creative and landing page language as the primary matching signal.
Why This Matters Beyond the Mechanics
This is not simply a settings change. For years, campaign-level language targeting has served a dual purpose: it functioned as a matching control and as a documented signal of advertiser intent. Removing it shifts both functions to Google's AI, which operates without the same level of transparency or auditability. Advertisers who have built campaign structures around language segmentation — whether for performance, compliance, or operational clarity — will need to reassess whether those structures still serve their intended purpose under the new system.
Understanding how this fits into the broader relationship between paid search and organic search strategies is increasingly relevant as Google continues to reduce manual controls and rely more heavily on automation.
How Google Will Handle Multilingual Users
The update introduces a more nuanced matching scenario for users who understand more than one language. If Google determines that a user comprehends both English and Spanish, ads in either language could qualify to serve.
Google's ad group prioritisation system will then determine which language is the better match. When a search query has a clear language signal, Google says it will prioritise an ad and landing page in that language when one is available.
Brand Searches and the Bilingual Matching Problem
Brand searches present a specific complication. A brand name that appears identically across multiple languages gives Google little language information from the query itself. In those cases, Google says it will lean on other language signals and prioritise the user's preferred language. That means a bilingual user could see ads in either English or Spanish depending on Google's assessment of their language preference, rather than the language of their search.
This removes a degree of control that advertisers previously held over brand messaging consistency. For brands where tone, terminology, or regulatory language differs meaningfully between English and Spanish creative, the possibility that Google selects the language of delivery introduces a variable that cannot currently be overridden at the campaign level.
Brooke Osmundson, writing for Search Engine Journal and a participant in a Google advertiser roundtable held ahead of the announcement, noted that Google's position is direct. As Google described it during the roundtable: "The way things are behaving now aren't changing." The claim is that the campaign-level setting was largely redundant alongside the existing AI signals.
What This Means for the Google Ads API
Advertisers using the Google Ads API have been advised to stop sending language criteria when creating or updating Search campaigns. Existing language criteria can remain in place but will no longer influence targeting outcomes. For teams managing campaigns programmatically, this is a meaningful workflow change that should be communicated to developers and campaign managers before the September rollout.
The Compliance and Reporting Gap
The questions that proved hardest to answer during the advertiser roundtable centred not on how Google's systems work, but on how advertisers can verify and document what those systems do.
Regulated industries surfaced the most pointed concerns. An insurance advertiser, for example, may be required to demonstrate equitable ad delivery across English-speaking and Spanish-speaking audiences. Google's response was that providing ads in both languages signals the advertiser's intent, and that its systems will match users accordingly.
That answer addressed intent but not documentation. Advertisers asked how they could prove how ads were actually delivered when Google, rather than a campaign setting, determines language eligibility for each user. Google did not announce additional language-level reporting that would show advertisers which languages were served or how performance differed by language. That gap could become significant for any business subject to regulatory scrutiny or internal compliance requirements.
The AI Max and Quebec Scenario
AI Max campaigns introduced a separate multilingual consideration. One advertiser raised the scenario of an AI Max campaign targeting Quebec where asset generation produces French creative. Could that French ad serve when a user searches in English? Google confirmed it could.
Creative generation happens first, and Google then checks whether the user understands the available ad and landing page. The language of the query does not have to match the language of the ad, meaning an English search could trigger a French ad if Google determines the user understands French. For advertisers in markets with specific linguistic expectations — or legal obligations around language use — this behaviour warrants direct attention before September.
Building an Alternative Compliance Framework
In the absence of language-level reporting from Google, advertisers operating in regulated sectors should consider building their own documentation layer. This could include:
- Segmenting campaigns by language through creative and landing page structure, then tracking performance separately by segment
- Capturing search term reports regularly to monitor which query languages are entering campaigns
- Using audience insights and geographic data as proxies for language delivery where direct language reporting is unavailable
- Documenting the creative and landing page languages deployed as evidence of targeting intent
None of these fully replicate what a campaign-level language setting provided, but together they create a defensible record of intent and a monitoring framework for detecting unexpected shifts in delivery.
For advertisers weighing how paid search compares to other acquisition channels in terms of control and measurability, a detailed comparison of paid search versus paid social advertising offers useful context on where each channel sits on the automation-versus-control spectrum.
Preparing for the September Rollout
Travel brands, international advertisers, and any organisation operating across language markets should audit their current use of language targeting before September. The key question is whether the setting currently functions as more than a basic matching tool. If it serves as an audience control mechanism or supports compliance documentation, its removal warrants a closer operational review.
For the broader advertiser population, the practical steps are straightforward. Confirm that ads and landing pages are in the intended languages, especially within multilingual campaigns or those using AI-generated assets. After the change rolls out, monitor search terms, geographic traffic, and audience composition before drawing conclusions or making broader adjustments.
Google offers a range of tools that can support this kind of campaign monitoring and performance analysis. Reviewing the most effective Google tools available to advertisers and marketers is a practical starting point for teams looking to strengthen their reporting infrastructure ahead of the transition.
The September rollout will serve as the real test of Google's assertion that this change is largely procedural. If traffic patterns and performance hold steady, the case that the campaign-level setting was redundant will gain credibility. If unexpected shifts emerge in who enters campaigns or which languages appear in search term reports, advertisers will need to respond without the targeting lever they previously had available.
For further context on how Google's AI-driven targeting changes fit into the broader evolution of Search advertising, Google's official advertising blog provides ongoing updates directly from the platform.
How you can use this information:
- Audit your campaigns now: Review any Search or Performance Max campaigns where language targeting serves a function beyond basic matching — including compliance tracking or audience segmentation — and identify what alternative controls or reporting may be needed before September.
- Align creative with intent: Ensure your ads and landing pages are clearly in the languages you intend to reach, since Google will use these as primary signals replacing the campaign-level setting.
- Build a monitoring plan: Set up performance benchmarks before the rollout so you can detect any meaningful shifts in search terms, geographic traffic, or audience language composition once Google's automated signals take full control.
