Arabic AI Visibility Audit: How AI Engines Describe Your Brand in Arabic

If your customers ask in Arabic, you can get a free visibility check: High Street runs your buyer questions in English and Arabic across seven AI engines and shows you, per engine and per language, who gets named and which sources are cited.

What the published research shows

On 26 August 2026, PRmoment published a study by communications adviser Marta Warren, run with the tracking tool Rankscale AI. It used 20 questions about luxury hotels in London, written for UAE and Gulf travellers, asked in English and Arabic, with more than 1,400 runs in total. The engines tested were ChatGPT, Gemini, Microsoft Copilot, Google AI Overviews and Google AI Mode.

The findings that matter for any brand selling to Arabic speakers:

The study did not test Claude, Perplexity or Grok, and it did not test Arabic-first models such as HUMAIN Chat, Fanar or Jais. It covers one category in one city. Read it as a strong signal, not a rule for every sector: the shortlist may survive translation while the evidence underneath it does not.

That fits what we found in English in our own study of where AI answers come from: across 2,061 outside citations in one software category, the vendor's own site supplied 4.9% of the evidence. If engines mostly describe you through other people's pages, the question in Arabic is which other people's pages exist about you in Arabic at all.

Why Arabic answers drift from English ones

Three mechanisms explain most of the gap.

A different source pool. Arabic-language press, regional marketplaces, booking platforms, Arabic social accounts and Arabic directory listings are a separate body of text. A brand with strong English coverage and little Arabic coverage gives the engine less to work with, so it fills the answer from whatever Arabic pages it can retrieve, which may be a marketplace listing, an old article or a competitor's comparison.

Names that split into several entities. A name written "Al Waha", "Al-Waha" and الواحة can read to a machine as three things. The PRmoment authors had to merge spellings before their rankings made sense; an engine that never merges them spreads your evidence thin. The fix is one canonical Arabic name, used identically on your site, your structured data, your social profiles and the directories that list you.

Dialect and register. Buyers in the Gulf do not all ask in Modern Standard Arabic. Some type in Gulf dialect, some in Arabizi (Arabic in Latin letters), some mix in English brand names. No published study we have found compares engine answers across those registers, so we do not claim a result. We do test them, because a question written only in formal Arabic may not be the question your customer types.

The Google Business Profile trap for bilingual names

Google Business Profile feeds Maps, the local pack and Google's AI surfaces, so its name field matters in both languages. In 2026 Google's business-name guidelines were updated to disallow repeating the same name in two scripts in the name field, for example the English name followed by its Arabic transliteration, even when the shop sign shows both. Search Engine Roundtable and PinMeTo both reported the change, and name-guideline breaches can lead to suspension.

So the Arabic name has to live elsewhere: on your website in Arabic pages, in alternateName in your Organization or LocalBusiness structured data, in the Arabic description and posts, and on Arabic directory listings. Our Google Business Profile checklist covers the rest of the profile.

How to run an Arabic AI visibility audit

This is the method High Street uses for clients. You can run a lighter version yourself.

1. Write the buyer questions in pairs. Each English question gets an Arabic twin with the same intent, in the register your customers use. Add a Gulf-dialect version where your buyers write that way. Keep them unbranded: "best paediatric dentist in Jumeirah", not your clinic's name. A branded question only tests whether the engine can look you up.
2. Run every engine separately in each language. ChatGPT, Perplexity, Gemini, Claude, Grok, Google AI Overviews and Google AI Mode answer differently, and averaging them hides the useful part. Run each question several times, because single answers vary.
3. Record four things per answer: whether you are named, your position, the words used to describe you, and every cited URL.
4. Merge your name variants before you count anything: English, Arabic script, transliterations and common misspellings.
5. Compare the two source lists. The sources that appear only in Arabic answers are your Arabic media and listings plan. The sources that appear only in English show where your Arabic presence is missing.
6. Check what the Arabic sources say. A wrong price, an old address or a rival's framing on an Arabic page is what the engine will repeat.
7. Re-measure on the same questions after each fix, in both languages, rather than once at the end.

For a quick manual start in English, see how to check if ChatGPT recommends your business, then repeat each question in Arabic.

What to fix once you see the gap

• Arabic pages that answer, not translate. Services, prices, areas served and FAQs written in Arabic as complete answers an engine can quote.
• One Arabic name everywhere, with alternateName in structured data linking it to the English one.
• Arabic third-party coverage in the outlets, marketplaces and directories your Arabic answers actually cite, found in step 5, not assumed from your English media list.
• Regulated claims checked in both languages. In health, finance and education, the Arabic copy carries the same rules as the English. Our page on SEO and AI visibility for UAE clinics sets out the advertising rules by emirate.

Questions people ask