Google confirmed this week that AI Overviews are rolling out to 40 additional countries, bringing the AI-generated answer boxes at the top of search results to most of the world's major internet markets. Countries added in this wave include Germany, France, Brazil, Japan, South Korea, Mexico, and the Netherlands, among others. With this expansion, AI Overviews are now active in over 100 countries, covering the majority of global search volume.
For brands that built their traffic strategies around organic search rankings, this is a significant shift. The rules of what it means to "rank well" just changed in every one of those markets simultaneously.
What AI Overviews actually do to search traffic
AI Overviews sit above organic results. They generate a summary answer to the user's query and display it before the first blue link. For many queries, particularly informational and comparison searches, users read the AI-generated answer and do not scroll further.
The traffic data from markets where AI Overviews have been live for longer tells a consistent story. Early analysis of US search data following the initial AI Overviews rollout in mid-2024 showed that queries triggering an AI Overview experienced click-through rate declines of 25 to 60 percent on informational queries. Research from agencies including Amsive and BrightEdge found click-through rates on top-ranked organic results drop by around 34 percent when an AI Overview is present. Google has pushed back on the most alarming projections, arguing that AI Overviews increase overall query volume, but the directional trend on clicks-per-ranking-position is clear.
The new countries in this expansion are entering a different phase than the US did eighteen months ago. Google has tuned the system significantly since its rocky debut. AI Overviews now appear more selectively, triggering primarily on informational and educational queries rather than transactional ones, though that distinction is blurring as the product matures.
Which query types are most affected
Not all searches are equally impacted. The pattern that has emerged across markets where AI Overviews have been live longest shows a clear split by query intent.
Informational queries are the most affected category. "How does X work," "What is the difference between X and Y," and "Best practices for Z" all trigger AI Overviews frequently and see the sharpest click declines. These are also some of the most valuable queries for B2B brands doing top-of-funnel content marketing.
Comparison queries sit close behind. When a buyer types "Salesforce vs HubSpot for small teams" or "What's the best project management tool for engineers," Google generates an AI Overview that summarizes the comparison. The buyer may get a usable answer without clicking any result.
Transactional queries, "buy X," "pricing for Y," "[brand] discount code," trigger AI Overviews much less often. Google is careful about inserting generated content into high-intent commercial searches where errors could cause real harm. This is where traditional SEO still functions relatively close to its historical behavior.
Local searches are a mixed case. For "best [type] restaurant near me," AI Overviews sometimes appear with curated suggestions, pulling from Google's own data rather than crawled web content. This is a different dynamic than informational queries.
Being cited vs. ranking below
The strategic shift this expansion demands is not subtle. Ranking in position one beneath an AI Overview that doesn't cite your brand is worse than it sounds. Your page loads slowly relative to the AI answer above it. The user's question has already been answered. Your position-one ranking delivers a fraction of the traffic it once did.
Being cited within the AI Overview is a different outcome entirely. Your brand name appears in the generated answer. In some formats, your page is linked directly within the AI-generated text. Users who click through from within an AI Overview are often higher intent than those who click traditional results, because the AI has already validated the relevance of the source.
Google's AI Overviews pull citations from a mix of high-authority publishers, established brand sites, and sources with strong topical relevance signals. Structured content with clear definitions, attributed statistics, and well-organized FAQ sections is more likely to be cited than dense undifferentiated prose.
The content attributes that make you citable in AI Overviews overlap significantly with what improves citation rates in ChatGPT, Perplexity, and other AI systems. Clear definitions, authoritative sourcing, FAQ structure, and comparison frameworks all signal citeability. The difference is that AI Overviews have Google's full index and authority infrastructure behind them, which changes the competitive landscape for smaller brands trying to break through.
What brands in newly expanded markets should do now
For teams in Germany, France, Brazil, Japan, or any of the other markets newly covered by this expansion, the window to prepare is short. AI Overviews will start appearing for queries in your market over the coming weeks.
Start by auditing which of your highest-traffic pages target informational or comparison queries. These are your highest-risk pages for click decline and your highest-opportunity pages for citation. Run those queries manually in Google to see whether an AI Overview appears for each one. Where it does, read what the AI says and which sources it cites.
Content improvements that take less than a week to ship matter. Adding a FAQ section, tightening page structure with cleaner H2s and H3s, and adding one or two sourced statistics to key pages are changes a content team can execute quickly. These are also among the highest-leverage changes for improving citation likelihood.
Monitor your citation rate, not just your ranking positions. Traditional rank tracking will show you where you appear below the AI Overview. It will not show you whether you appear within it. That requires a different measurement approach: sampling Google search results for your key queries and checking whether your brand is cited in the generated answer.
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Start tracking freeThe broader pattern this expansion confirms
This rollout is not an experiment. Google has been moving AI Overviews toward global coverage since mid-2024, and the pace of expansion has accelerated. The product is now core Google infrastructure, not a test.
For brands, this means the question is no longer whether to think about AI citation. It is how to think about it systematically. Whaily tracks brand mentions across AI systems, including AI Overviews, so teams can see where they are being cited and where they are being displaced.
The brands that will adapt fastest are those that can measure what is changing. Organic traffic declines are visible in analytics. AI citation rates require a different signal entirely. Building the capability to track both is the preparation that matters most in the months ahead.
FAQ
Are AI Overviews appearing for branded searches?
Occasionally, but Google is cautious about generating AI summaries for branded queries where errors could damage a company's reputation or mislead buyers. AI Overviews appear most frequently for generic informational queries, not "what does [YourBrand] do."
Will this affect e-commerce sites differently than content sites?
Yes. Product and transactional queries trigger AI Overviews less frequently. The impact is most severe for sites that rely heavily on informational content for top-of-funnel traffic. E-commerce sites with strong informational content blogs are more exposed than pure-play product catalog sites.
Can brands request to be included or excluded from AI Overviews?
Google has not provided a mechanism for requesting inclusion. Exclusion is possible via the nosnippet meta tag, which tells Google not to use a page's content in snippets or AI-generated answers. This is a defensive tool for pages where you do not want your content excerpted, not a tool for inclusion.
How quickly will we see traffic changes after this expansion?
In markets where AI Overviews rolled out previously, the traffic impact was visible within four to six weeks of the expansion. Teams in newly covered markets should expect to see changes in their organic metrics by late February or early March, depending on query volume and AI Overview trigger rates in their specific categories.
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