Almost every AI-search statistic in circulation describes a US search. But whether Google even shows an AI Overview — and how many sources it cites when it does — changes sharply from one country to the next. We measured it across 15 markets and the six AI engines cloro monitors, over a 30-day window. Two things stand out: AI search is far less uniform than the "48% of queries" headlines suggest, and "cited by AI" means something completely different depending on which engine you ask.
Published July 5, 2026 · cloro monitoring corpus · 30-day window · ~61,000 sampled AI Overview results
67% – 93%
Among the countries where Google shows AI Overviews, the trigger rate ranges from 67% (Germany) to 93% (US, Austria) — a 26-point spread inside the "supported" markets alone.
~12 vs ~1
Citation depth is an engine trait, not a constant: ChatGPT backs an answer with ~12 sources; Gemini often cites just one. A single "AI citation" is not a comparable unit across engines.
Austria ≠ Germany
Same language, opposite behavior: Austria triggers an AI Overview 93% of the time, Germany 67%. Country, not language, is the unit that matters.
France: 0%
Google doesn't run AI Overviews in France (per its own availability docs), so the rate is 0% by design — yet ChatGPT and Perplexity still answer there with full citations.
"AI Overviews now appear on roughly half of Google searches" is the stat everyone repeats. It's a US number, and it hides the real story: among the markets where Google has switched AI Overviews on, how often they actually fire ranges from 93% (United States, Austria, Japan, Canada) down to 67% (Germany). The English-speaking markets cluster tightly at the top — US, Canada, Australia, and the UK all sit at 76% or above — while continental Europe is where the rate falls off.
The sharpest illustration is the German-speaking bloc. Austria (93%), Switzerland (82%), and Germany (67%) share a language but span a 26-point range. Whatever drives the difference, it isn't linguistic — so a brand that measures its AI visibility in one market and assumes the rest of the region looks similar is measuring the wrong thing.
France is the one market in the sample that returns zero Google AI Overviews — and that isn't an artifact of our corpus. Google does not offer AI Overviews in France: its own availability documentation lists the countries and languages where the feature has launched, and France isn't among them, consistent with the French and EU regulatory environment around Google's use of publisher content. The 0% here is a documented rollout boundary, not a measurement gap — and it's France-specific, not an EU-wide block: Germany (67%), Poland (68%), Denmark (80%), and Austria (93%) all show AI Overviews at scale.
What the data adds is what fills the gap. In the same French sample the non-Google engines answer normally —ChatGPT cites ~12 sources per answer, Perplexity ~9.6, and Copilot ~5. So "AI search in France" is very much a live surface; it just isn't Google's. A team that writes off the French market because AI Overviews are absent is watching the one engine that opted out and missing the ones that didn't.
How many sources an AI answer cites is often treated as one number. It isn't — it's a property of the engine, and for some engines it swings hard by market. Plotting three engines across all 15 markets (sorted by AI Overview trigger rate) shows the shape at a glance: ChatGPT holds a steady line, Perplexity runs almost flat, and Gemini collapses outside the English-speaking markets.
| Country | ChatGPT | Perplexity | AI Overview | AI Mode | Copilot | Gemini |
|---|---|---|---|---|---|---|
| Austria | 13.6 | 9.6 | 13.6 | 11.3 | 6.5 | 5.1 |
| United States | 12.5 | 9.8 | 10.2 | 12.2 | 5.0 | 6.6 |
| Japan | 12.3 | 9.6 | 8.0 | 7.9 | 4.2 | 1.0 |
| Canada | 12.0 | 9.5 | 12.9 | 17.8 | 4.4 | 4.8 |
| UAE | 12.6 | 9.4 | 7.0 | 5.0 | 4.2 | 1.9 |
| Brazil | 11.6 | 9.6 | 9.5 | 9.2 | — | 0.6 |
| Australia | 13.0 | 9.6 | 9.8 | 14.0 | 4.9 | 6.8 |
| Israel | 10.9 | 9.5 | 7.4 | 5.4 | 4.6 | 0.8 |
| Mexico | 12.3 | 9.6 | 10.7 | 10.1 | 3.3 | 4.7 |
| Switzerland | 12.4 | 9.3 | 12.7 | 10.0 | 6.7 | 2.3 |
| Denmark | 11.6 | 9.2 | 8.3 | 5.7 | 4.5 | 1.1 |
| United Kingdom | 11.4 | 9.3 | 10.3 | 13.3 | 5.0 | 6.7 |
| Poland | 11.7 | 9.3 | 9.6 | 6.1 | 4.5 | 1.0 |
| Germany | 11.6 | 9.5 | 11.2 | 8.8 | 4.9 | 1.0 |
| France | 11.9 | 9.6 | — | — | 5.0 | 0.1 |
Three patterns fall out of it:
The practical consequence: being "cited by AI" is not one achievement. Earning a citation where an answer draws on a single source (Gemini in Germany) is worth far more per slot than being one of a dozen (ChatGPT in Austria). Comparing raw citation counts across engines, without normalizing for how many sources each one pulls, produces a misleading scoreboard.
One market's AI visibility tells you almost nothing about the next — not even within a shared language. Measure AI Overview presence and citations per target country, not per region, and don't extrapolate a US baseline onto Europe.
Normalize by engine. A citation is 1-of-~1 in Gemini-Germany and 1-of-~12 in ChatGPT-Austria; those are not the same win. Weight citation share by each engine's sourcing depth in the market you care about, or your dashboard will over-reward the engines that simply cite more.
Don't hardcode "AI Overview always present." It's absent in France and fires only two-thirds of the time in Germany. Treat the AI Overview block as optional per market, and remember Google's surfaces aren't the whole of AI search — ChatGPT and Perplexity answer in France where Google doesn't.
Figures come from cloro's own monitoring corpus, queried over a 30-day window (~61,000 sampled AI Overview results across the 15 markets). Trigger rates are measured on Google's AI Overview surface; only countries with more than 200 sampled results are reported. Citation counts are the mean number of cited sources per answer, per engine, per market. A "—" marks a surface that returned no result in that market during the window.
The corpus is customer AI-visibility monitoring — conversational, branded, and multilingual prompts — so read the absolute trigger rates as directional and the cross-market comparisons as the finding (relative differences are robust to prompt mix in a way absolute rates aren't). France's 0% reflects Google not offering AI Overviews in that market (documented by Google), not an artifact of the sample.
cloro. (July 5, 2026). AI Overviews Around the World: Trigger Rates & Citation Depth by Country. cloro Research. https://cloro.dev/research/ai-overviews-around-the-world/
More studies from cloro's monitoring corpus are in the research index.
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