Here is the direct answer: multilingual brands should optimize for AI search in Urdu and English as two separate content lanes — not as one translated website. Publish complete, native-quality content in each language, keep every business fact identical across both, and add Roman Urdu (the Latin-script Urdu millions type in daily) as a third lane. AI systems like ChatGPT, Perplexity and Google’s AI Overviews retrieve answers per language, so a brand that exists only in English is invisible when a customer asks the question in Urdu.
A common assumption is that ChatGPT or Perplexity will read your English pages and answer Urdu questions from them. In practice, that works only when the AI is highly confident in its own translation — and AI answers get noticeably worse, more cautious, or more generic when crossing languages. When a customer asks in Urdu, the AI prefers to cite sources already written in Urdu.
That means a brand with a strong English site and no Urdu content is effectively missing from Urdu-language AI answers. In Pakistan, where a huge share of everyday searches happen in Urdu or Roman Urdu, that gap can cost you the majority of your local audience.
The worst multilingual strategy is machine-translating your English pages and calling it done. Translated pages read awkwardly, miss local intent, and often get worse results in both languages. The right approach is parallel content — separate pages or sections in each language that cover the same topics with native phrasing, local examples, and locally relevant details.
Millions of Pakistanis search in Roman Urdu — Urdu written in Latin script (“best seo agency pakistan mein kaunsi hai”). Most brands optimize for English and Urdu script only, which leaves this enormous query stream wide open. Roman Urdu is how real customers type when they talk to ChatGPT.
You do not need a separate Roman Urdu website. What you need is FAQ content, blog sections, and social content that include natural Roman Urdu phrasing — the way people actually ask. An FAQ that answers “seo service ki price kya hai?” in the customer’s own words is exactly the content an AI cites when someone asks that question in Roman Urdu. This is one of the cheapest competitive gaps a multilingual brand can exploit: almost nobody is doing it deliberately.
AI systems judge trustworthiness partly by consistency. If your English site says your Local SEO package starts at Rs 20,000/month, your Urdu page says “contact for price,” and a directory lists an old phone number, the AI sees conflicting facts and becomes cautious about recommending you.
Lock down a single fact sheet — business name, services, prices, areas served, phone, hours — and mirror it in every language version, on your site and on every directory or profile the AI might read. Consistent facts in two languages beat twice the content with half the accuracy.
Most AI visibility testing is done in English only, which hides half the picture. Run your prompt tests in all three lanes:
Score each language separately. Brands are routinely shocked to discover they score well in English and score zero in Urdu — which is precisely the signal that a multilingual AI content program is needed.
Urdu AI answers need Urdu sources, and the supply is thinner than English — which is good news for you. A well-written Urdu article faces less competition for citations than its English equivalent.
Publish Urdu content on your own site first, then build Urdu-language mentions off-site: guest posts on Urdu publications and Pakistani blogs, interviews and expert quotes in Urdu media, and profiles on Pakistani directories with complete Urdu descriptions. Each one is raw material an AI can retrieve when a user asks in Urdu.
Start small and measurable. Pick your five most important service pages and create Urdu counterparts with native-quality writing and identical facts. Add a Roman Urdu FAQ block to each one, answering the questions customers actually ask in the words they use. Then run the three-lane prompt test and record your baseline scores per language.
Repeat the test monthly. When your Urdu scores start climbing toward your English scores, your multilingual AI strategy is working. Multilingual brands that treat each language as a first-class content lane — rather than a translation afterthought — end up recommended in every language their customers speak. That is the whole point of generative engine optimization: being the answer, in the language the customer asked.
If you want this done properly instead of DIY, MSJ Digital Agency’s GEO and AI search optimization service builds multilingual AI visibility — English, Urdu-script, and Roman Urdu content, fact-consistency across languages, and off-site mentions AI systems cite. Get your free AI visibility audit today and find out whether your brand shows up in the AI answers your customers are reading — in every language they speak.
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