Ranking in Arabic LLMs: Cultural AI Optimization for Abu Dhabi Tech Firms

As large language models (LLMs) become the new search interface — powering AI Overviews in Google, ChatGPT, Perplexity, and Arabic-native models like Jais — a critical question emerges for Abu Dhabi tech companies: how do you ensure your brand appears when AI assistants answer questions in Arabic? The answer lies in a discipline we call Cultural AI Optimization (CAO).

Cultural AI Optimization goes beyond traditional SEO. It requires understanding how Arabic LLMs process, rank, and synthesise information differently from English models. Arabic's morphological complexity, right-to-left script, dialectal variations (MSA vs. Gulf Arabic vs. Emirati colloquial), and cultural context all influence how AI models interpret and surface content. A company optimised for English LLMs may be virtually invisible to Arabic-speaking users querying AI assistants in their native language.

For Abu Dhabi tech firms, CAO involves several key strategies: (1) producing high-quality, original Arabic content — not just translated from English — that reflects local cultural norms and business language; (2) structuring website content with schema markup that AI crawlers can easily parse in both languages; (3) building topical authority in Arabic by publishing consistently on industry-specific topics; and (4) ensuring that your brand's Arabic digital presence — across websites, social media, and directories — is consistent and culturally appropriate.

Majlis Studio's bilingual AEO (Answer Engine Optimisation) strategy is designed specifically for this challenge. We combine native Arabic content creation with technical schema optimisation, hreflang implementation, and AI-agent-powered content distribution to ensure Abu Dhabi tech firms rank in both Arabic and English LLMs. The result is omnipresent brand visibility — whether a potential customer asks a question in English on Google or in Arabic on an AI assistant.