GEO for brands in the USA, UK, UAE and beyond

An answer to a question about the best provider depends on where the person asks and in which language. A buyer in Dubai may get different names than a buyer in London for what looks like the same question. Engines also lean on different local sources: business profiles, directories, news and review sites.

We test the prompt set from the market you sell in, record the date, and build your pages and profiles for that market first. Arabic and English versions are treated as separate tests where both matter.

AI answers are not the same everywhere. The place where a question is asked, the language it is asked in, and the settings of the tool can all change which companies are named. So a result we see from our desk in Rajasthan would tell you little about what a buyer in Dubai or Manchester sees.

For that reason, week one of the GEO Pilot sets the test location and language first. We run your buyer prompts as a person in your market would ask them, record each answer with the date, and keep the captures. In week four we repeat the same test the same way, so the before and after comparison is fair.

We say plainly that this is a practical method and not a perfect one. Engines may personalise answers, and a single capture is a snapshot. That is why we repeat prompts and describe patterns instead of promising a fixed position.

• Location and language set before testing
• Same method before and after
• Dated captures kept for you

A page that says one thing to a UK reader and another to a US reader is not only a style issue. Terms differ, and buyers type the terms they know. A US buyer searches for a contractor where a UK buyer searches for a builder. A prompt set that uses the wrong word tests the wrong thing.

We therefore write and test with the vocabulary of the market. In the UAE, we pay attention to how buyers mix English with Arabic place names and to the difference between spoken and written Arabic, which affects how an Arabic page reads to a person and how it is understood by a model. Where we are not sure, we ask your team or a native reviewer on your side to check the final text before it is published.

When a buyer asks for a provider in a named city, engines have a practical problem. They need to know who really operates there. They look for signs such as a map listing, a local address on the site, reviews from people nearby, and mentions on local directories and news sites. A site with only a generic page and no place signals gives them little to go on.

That is why we treat local facts as part of GEO and not as an extra. Our page on local GEO and the guide to GEO for local businesses cover this in detail. If you serve several areas, we also check that each area page says something real and is not a copy of another page with a changed name.

We do not buy reviews, build fake listings or write fake local pages. Those create the conflicts that make engines doubt you.

Imagine a small accountancy firm in London. Its clients ask AI tools which firm suits a growing small company, what a service involves and how to switch accountant. We would set the test location to London and write the prompts in British English, using the words clients use on the phone.

In the baseline we would note which firms are named, which sources are cited, and what the answers say about this firm. A mismatch between the registered name, the trading name and the profile name would be a likely finding. Mixed names make it harder for an engine to tell that the firm is one entity.

The fixes would be to align the names everywhere, write a clear page for each service with a direct answer first, add a FAQ from real client questions, and mark up the facts with matching schema. We would not promise outcomes in the wording, since that is both unhelpful and a risk in a regulated field. This example has no results because it is not a client.

Choose the market with the most revenue or the clearest buyer questions. Run the Pilot there, on one domain and one language. The baseline will show how engines treat your brand in that market, and the roadmap can then set out the next one.

Use the free AI crawler access checker first. Crawler access is the same in every country, so fixing it helps everywhere. Then read our post on how buyers use AI search in the UAE if the UAE is your first market.