Keyword research built for a single language market falls apart in Egypt, and it fails in a specific way that is easy to miss. You build a solid English list, translate it into Arabic, and end up with a set of phrases that are grammatically correct and almost nobody types. The demand did not vanish. It was never in the translation.
You are researching three languages, not two
Egyptian search splits into English, Arabic and Franco, the Latin transliteration people use when typing quickly on a phone. Those are three separate keyword spaces producing three separate results pages. Arabic itself splits again, between the formal register a copywriter would write and the Egyptian dialect a customer actually types, and the dialect version usually carries more volume on consumer intent.
There is also a spelling problem no other market has to solve at this scale. Alef with and without hamza, taa marbuta against a plain haa, the yaa and alef maqsura ending, and optional diacritics all produce different strings for the same word. Tools treat them as separate keywords and report each variant as low volume. Normalize the variants and merge the numbers before you decide anything is too small to target, because a term that looks like 200 searches a month is often four spellings of a term with 900.
Start keyword research from your own data, not the tool
Volume estimates for Arabic terms are the least reliable numbers in our industry. So we build the seed list from sources that cannot lie. Internal site search logs, which tell you the exact words customers use once they are already on the site. WhatsApp and Instagram message transcripts, which are the richest source of real phrasing in this market. Sales call notes. The Search Console query export filtered to Arabic script, which routinely surfaces terms no tool ever suggested. Only after that do we open the paid tools, and we use them to size and cluster rather than to discover.
The second discipline is segmenting by language as well as by intent, because in Egypt the language often encodes the buyer. English first queries in B2B and premium categories skew toward corporate buyers, expatriates and higher income segments. Arabic first queries in the same category tend to be mass market, more price sensitive and much heavier on mobile. Those are different customers who deserve different pages, different offers and sometimes different price points, so collapsing them into one page to save effort throws away the insight you just paid for.
Mapping, and what changed with answer engines
One page per intent per language. Not one bilingual page with a toggle, and not an Arabic page that is a machine translation of the English carrying the same images and the same argument. Decide which language gets the primary, most heavily linked page based on where the revenue actually sits, then build the other one properly rather than as an afterthought.
Two additions to the research set are worth making now. First, a fixed list of conversational prompts, because people ask assistants longer and messier questions than they type into a search box, and Arabic prompts in particular arrive as full sentences. Second, a tracked comparison of the two results pages for the same commercial idea, since an English term you dominate frequently has an Arabic twin where you do not appear at all. That asymmetry is the largest untapped opportunity we find on Egyptian sites, and working through it before a word of content gets commissioned is where our search engine optimization services start.
One last warning. Do not let the English list set the site architecture and then bolt Arabic on underneath it. The category structure that makes sense to an English speaking buyer is often not the one Arabic queries describe, and retrofitting that later is a migration, not an edit.
