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Regional Experiment • 3 Months
From Zero to 3,000 Monthly Visitors: Our Arabic + English AI SEO Experiment
Testing whether bilingual semantic SEO outperforms single-language optimization in the Middle East market.
The Experiment
We wanted to test something critical: Does bilingual semantic SEO outperform single-language SEO in the Middle East?
So we launched a controlled content experiment targeting:
- English keywords
- Arabic equivalents
- Regional modifiers (Oman, UAE, Saudi)
Strategy
1️⃣ Dual-Language Semantic Clusters
Instead of translating content, we:
- • Built separate entity clusters
- • Optimized Arabic content natively
- • Used hreflang correctly
- • Structured Arabic schema
Most companies ignore Arabic structured SEO. That's a massive opportunity.
2️⃣ Conversational Search Optimization
We optimized for:
- • "best accounting software in Oman"
- • "أفضل برنامج محاسبة للمطاعم في عمان"
- • "how to manage restaurant expenses in UAE"
Each article included:
- • AI answer-ready sections
- • FAQ blocks
- • ROI breakdown tables
- • Regional data references
3️⃣ AI Testing Framework
We manually tested visibility by:
- • Prompt testing in ChatGPT
- • Testing citations in Perplexity
- • Tracking AI Overview inclusion
Results (3 Months)
| Metric | Before | After |
|---|---|---|
| Organic Traffic | 0 | 3,000/month |
| Arabic Rankings (Top 10) | 0 | 18 |
| English Rankings (Top 20) | 0 | 41 |
| AI Mentions | 0 | 9 tracked prompts |
| Average Time on Page | — | 2m 48s |
What We Learned
- Arabic SEO is massively under-optimized.
- AI engines reward structured content.
- Schema + entity clarity matters more than keyword stuffing.
- Conversational formatting increases AI extraction.
Why This Matters for Businesses
If you operate in:
- • UAE
- • Oman
- • Saudi Arabia
- • Qatar
You are competing in a market where:
- • Most companies still use 2018 SEO tactics.
- • Almost no one is optimizing for AI engines.
This creates an early-mover advantage.