cubeish.co — AEO Analysis

449 words. That's all the body copy on the entire site. AI engines need real substance to extract and cite, and there just isn't enough here to work with. Competitor sites average 2,000 to 5,000 words across their service pages. When someone asks ChatGPT or Perplexity "best eLearning companies in MENA," cubeish.co gives those models almost nothing to cite.

Expand each of the 7 service descriptions from one-liners into 150 to 250 word sections covering: what the service is, who it's for, the methodology Cubeish uses, a specific example or outcome, and a differentiator. That alone takes the page from ~450 to ~2,000 words. Even better, create individual service pages.

The llms.txt names UNICEF, Microsoft, ADNOC, PwC Academy, GACA, Samsung, and AUC. None of those names appear on the actual homepage. The "Clients" section just says "Join this diverse range of partners now" next to unlabeled logos. AI models rely heavily on named entities to match queries, so if someone asks "Who built UNICEF's eLearning in Egypt?" they'll never get a Cubeish answer. The website doesn't mention UNICEF by name.

Add client names as text alongside or below logos. Create at least 3 case study sections: "UNICEF Digital Safety Program," "UNICEF Learning Passport Egypt," and one corporate client. Each needs: client name, challenge, solution, and measurable outcome. Even 100 words per case study dramatically increases entity coverage.

Look, FAQ content is the single highest-leverage format for AI citation. AI assistants pull Q&A pairs directly into their responses. But all 3 current answers are non-answers: "depends on complexity," "depends on various factors." AI engines will skip that every time in favor of sources that give concrete information.

Expand to 8–12 questions with specific, concrete answers. Replace "depends on complexity" with actual ranges: "A typical 30-minute interactive eLearning module takes 6–10 weeks. A full simulation or VR experience takes 12–20 weeks." Replace "depends on various factors" with: "Projects typically range from $5,000 for a single training video to $50,000+ for an immersive VR simulation. We provide a detailed proposal after a free 30-minute consultation." Update the FAQPage schema to match.

AI engines match queries to content by semantic similarity. Nobody types "Broad Spectrum of SERVICES for Your Digital Success" into ChatGPT. But they do ask "What eLearning services does Cubeish offer?" Question-shaped headings mirror the way people actually talk to AI assistants.

Rewrite key H2s as questions: "CUBEISH SERVICES" → "What digital learning services does Cubeish provide?", "OUR SIMPLE PROCESS" → "How does Cubeish deliver eLearning projects?", "MEET OUR CLIENTS" → "Which organizations has Cubeish worked with?" Also fix the heading hierarchy: use H1 → H2 → H3 (currently skips H3/H4 entirely, jumping from H2 to H5).

AI models are trained on long-form, topically rich content, and that's what they retrieve from. No blog means zero presence in AI training data beyond the homepage. Someone asks "How to create effective compliance training?" or "eLearning trends in MENA 2026," and Cubeish simply won't come up. There's nothing for the model to pull from.

Launch a blog section with at least 5 foundational articles targeting high-intent AI queries: "How to choose an eLearning provider in the MENA region," "The cost of custom eLearning development in 2026," "How UNICEF used eLearning to reach 1M children in Egypt" (case study), "VR training vs traditional eLearning: when to use each," and "Arabic eLearning localization: challenges and best practices." Each should be 1,200–2,000 words with specific data.