Glossary

Arabic Web Typography

الطباعة العربية للويب

Selecting, loading, and rendering Arabic typefaces correctly on web pages. Key considerations: using variable or subset Arabic fonts (to reduce file size and improve LCP), applying font-display: swap to prevent invisible text during load, choosing typefaces with full diacritics (tashkeel) support for religious or formal content, and testing rendering across Safari on iOS and Chrome on Android—both dominant browsers in Saudi Arabia and UAE.

Related terms

RTL LayoutThe complete visual and logical re-orientation of a web interface for right-to-left reading languages such as Arabic. Goes beyond text direction: navigation menus mirror horizontally, breadcrumbs reverse, progress indicators flow right-to-left, and icon directionality flips. Implemented with the HTML dir attribute and CSS logical properties (margin-inline-start, padding-inline-end). Poor RTL implementation — a common shortcut among non-specialist agencies — degrades Arabic UX and brand trust immediately.
Bilingual SEOSEO strategy that maintains separate, equally-optimised Arabic and English URL trees (/ar/* and /en/*), each with its own keyword research, meta data, and internal link architecture. Requires correct hreflang implementation, Arabic keyword intent mapping (Gulf dialects differ from Levantine), and separate XML sitemaps per language. Bilingual SEO doubles organic surface area and is the baseline requirement for any Gulf business targeting both expatriate and national audiences.
Semantic SearchSearch technology that understands the meaning and intent behind a query rather than matching exact keywords. Google's BERT and MUM models power semantic search, rewarding content that thoroughly addresses a topic rather than repeating keywords. For Gulf Arabic SEO, semantic search is particularly important because Arabic morphology means a single concept can appear in dozens of word forms—thorough topical coverage outperforms keyword stuffing.
Vector DatabaseA specialised database that stores content as high-dimensional numerical vectors (embeddings) to enable semantic similarity search. Used in RAG-powered operator consoles to retrieve the most relevant service descriptions, pricing entries, or client records when an AI generates a proposal or answers an Arabic inquiry. Popular options include Pinecone, Weaviate, and pgvector. Enables Gulf businesses to query their own knowledge bases in natural language—in both Arabic and English.

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