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AI VISIBILITY ENGINEERING
Buyers in the UAE are using ChatGPT, Perplexity, and Gemini to research businesses before making contact. If those AI descriptions are wrong — and Arabic-language AI descriptions of UAE brands are often more inaccurate than English ones — you are being disqualified before the conversation begins. We audit what AI engines say about your brand in both languages and correct it at the source.
Buyers in the UAE are using ChatGPT, Perplexity, and Gemini to research businesses before making contact. If those AI descriptions are wrong — and Arabic-language AI descriptions of UAE brands are often more inaccurate than English ones — you are being disqualified before the conversation begins. We audit what AI engines say about your brand in both languages and correct it at the source.
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/ This is for you if
The wrong description — You searched your company name in ChatGPT and found incorrect founding information, wrong office locations in Dubai or Abu Dhabi, or services you no longer offer. Buyers researching you in Arabic find descriptions that are even further from reality.
Conflated with a competitor — When buyers ask AI to compare businesses in your category across the UAE, your brand gets merged with a similarly named competitor. In Arabic-language queries, entity conflation is particularly common because Arabic transliteration of brand names is inconsistent across sources.
Describing the old version of you — Your business has grown, rebranded, or expanded across the GCC — but AI engines still describe the earlier version. The Arabic-language sources they draw on were never updated, and AI engines have fewer Arabic references to work from, so errors persist longer.
You have no idea what AI says — You have never checked what AI engines say about your brand in either English or Arabic. For UAE businesses operating in a market where buyers conduct research in both languages, this is a dual-language risk that is rarely monitored.
/ What's broken
AI engines draw on web data crawled at various points in the past. Crunchbase entries, early press coverage, and outdated directory listings feed inaccurate information into English-language AI responses about your business.
Arabic-language AI descriptions of UAE brands are typically less accurate than English ones. The authoritative Arabic-language source ecosystem is thinner — fewer Wikipedia articles, fewer structured data entries in Arabic — so AI engines have less reliable material to draw on and produce more errors.
Your brand name transliterated into Arabic may appear differently across sources: different spellings, different vowelisation. AI engines treat these as different or overlapping entities, merging facts from your brand with others sharing similar transliterations.
Most UAE businesses have not built a structured entity presence in Arabic. When AI engines lack Arabic-language authoritative sources, they either omit your brand from Arabic responses or generate inaccurate descriptions based on insufficient data.
/ What we engineer
Each workstream is built by the team that audits it, and wired into the rest of your growth system.
We query 12 AI engines in both English and Arabic — using your brand name, competitor comparison queries, and category queries relevant to the UAE market. Every response in both languages is documented. Every inaccuracy is flagged. Deliverable: Bilingual Brand Answer Audit Report.
Every inaccuracy — in English and Arabic — is categorised and diagnosed. We identify exactly which source is feeding wrong information into AI responses, in both languages.
We update Wikipedia (both English and Arabic editions), Wikidata, Crunchbase, and UAE business directories to reflect accurate, current information about your business. Arabic transliterations are standardised across sources.
Accurate brand mentions in tier-1 English and Arabic media — regional publications, Gulf business press, and analyst references — give AI engines reliable, citable information in both languages.
We build structured data signals that allow AI engines to distinguish your brand from similarly named competitors in both languages, including consistent Arabic transliteration standards across all authoritative sources.
Every month, we re-audit your brand answers across 12 engines in English and Arabic, track accuracy improvement in both languages, and deliver a Monthly Bilingual Brand Accuracy Report.
/ What changes
/ Common questions
Straight answers on scope, timelines and cost. Anything else, ask us directly.
Ask us directlyBrand answer accuracy is the degree to which AI engines — ChatGPT, Perplexity, Gemini, and others — describe your business correctly when asked about it, in both English and Arabic.
The Arabic-language authoritative source ecosystem is thinner than English — fewer Wikipedia articles in Arabic, fewer structured data entries, less Arabic media coverage that AI engines can draw on. This means AI engines have less reliable material for Arabic responses and produce more errors.
Buyers in the UAE conduct research in both English and Arabic. An inaccurate AI description in either language — particularly one that conflates your brand with a competitor — can remove you from consideration before any direct contact.
We query 12 AI engines in English and Arabic using your brand name, competitor comparison prompts, and category queries. Every response in both languages is documented. Every inaccuracy is categorised and diagnosed. You receive a Bilingual Brand Answer Audit Report.
We correct the source records AI engines draw on — Wikipedia in both languages, Wikidata, Crunchbase, UAE business directories — and standardise Arabic transliterations. We also earn accurate brand mentions in authoritative English and Arabic media.
Source corrections typically begin reflecting in AI responses within four to twelve weeks. Arabic-language corrections may take longer, depending on the engine's Arabic-language update frequency.
Pricing is available on request in AED and depends on audit scope, the number of inaccuracies in English and Arabic, and the scale of source building required. Contact us at info@ignitednepal.com for a scoped proposal.
Yes. Monthly monitoring covers re-auditing brand answers in English and Arabic across 12 engines, tracking accuracy improvement in both languages, and flagging new inaccuracies in a Monthly Bilingual Brand Accuracy Report.
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Buyers in Dubai and across the UAE are researching companies in both languages. If AI descriptions of your brand are inaccurate in either language — or if Arabic descriptions are significantly worse than English ones — you are losing opportunities that never surface as a lost deal. We audit both, correct both, and monitor both.
Ignited Nepal — Growth Engineering Company. Bilingual AI visibility specialists for UAE and Gulf businesses.Ignited Nepal
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