u/gzorbian

We pulled a bunch of AI source citations (1M+) across 6 software prompt groups (CRM, cybersecurity, marketing automation, data analytics, collaboration tools, AI agents) in 12 countries, 7 languages, and 4 models (AI Overview, Copilot, ChatGPT, Grok). The aim was to measure how many of the websites cited in one country's AI results also appear in another country's results for the same prompt.

Short answer: not very many. Across all country pairs, the mean source overlap ranges from 7% to 19% depending on the model. The single highest-overlap pair in the dataset is Canada-US on ChatGPT at 24%. Even there, three of every four cited sources differ.

Statistic in % of country by country source overlap in AI Search results

Practical conclusions:

• Expanding into a same-language market (US into UK/AU/CA, or ES into MX/AR) → expect roughly 21% of your existing AI source presence to carry over.
• Expanding into a different-language market → expect 7% source overlap on average.
• Optimizing for Copilot vs Grok → very different localization profiles. Copilot is the most country-specific (6.7% mean overlap); Grok is the most global (18.8%)

One thing worth noting: even in a global category like software, local ccTLD domains account for 21-42% of AI citations in non-US markets.

Does this match what anyone here is seeing for cross-border AI search in B2B SaaS?

Disclosure: I work at Temso AI (we build AI Agents for GEO/AEO). We used our infrastructure to collect and analyze the data. Happy to share methodology if useful.

The question I keep getting: "We're running paid + seo in Germany/Spain/France/etc. Is it worth producing localized on-page and off-page content specifically for LLMs (ChatGPT/GoogleAIOverview/...) or is English sufficient?"

We pulled 7M AI citations from 350K prompts across Google AI Overview, Copilot, ChatGPT, and Grok in 6 non-English languages to find out.

Short answer: yes, but the payoff swings 30+ points depending on which AI search engine your audience uses.

Local language citation rate x model:

Market	Google AIO	Copilot	ChatGPT	Grok
Italian	90%	77%	74%	54%
German	90%	76%	66%	49%
Spanish	83%	84%	75%	55%
French	82%	87%	72%	59%
Swedish	85%	60%	57%	47%
Dutch	81%	66%	62%	38%

(Read it as: "if I produce German content, what % of the sources cited for German prompts will be in German?")

A practical rule of thumb from the data:

• Audience mostly on Google AIO → local content has a ~80-90% hit rate across the board. Invest.
• Audience split across engines → safest bet is bilingual content (strong local + strong English), especially for Germanic markets.

Does this match what anyone here is seeing?

Disclosure: I work at Temso AI (we build AI Agents for GEO/AEO). We used our infrastructure to collect and analyze the data. Data's ours. In case you are interested in our methodology just let me know.*