Excellence en ingénierie informatique au Maroc
ENSIAS (um5.ac.ma) scores 63 out of 100 on Brand Analyzer, placing it in the Developing tier among Education brands, Technology brands, in the 9th percentile of 25784 Education brands.
ENSIAS (École Nationale Supérieure d'Informatique et d'Analyse des Systèmes) is a Moroccan engineering school affiliated with Université Mohammed V. It trains highly qualified state engineers specializing in information systems and cybersecurity. The institution combines academic rigor with professional orientation, serving students, researchers, and professionals in Morocco interested in computer science and information security fields.
| Brand Name | ENSIAS |
|---|---|
| Domain | um5.ac.ma |
| Industry | Education, Technology |
| Parent Company / Owner | Université Mohammed V |
| Main Competitors | École Mohammadia d'Ingénieurs (70/100), Institut National des Postes et Télécommunications (71/100), École Nationale des Sciences Appliquées, Université Internationale de Rabat (72/100), Al Akhawayn University (82/100), 1337 Coding School |
Moz Domain Authority 48/100 vs category average 47 / leader 99 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "Former des ingénieurs d'État hautement qualifiés dans les domaines des systèmes d'information et de la cybersécurité." (No meta description) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: No structured data or Open Graph tags detected. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: No robots.txt found (default: all bots allowed, but explicit file preferred) - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Content is FR-only, limiting citation in English-language AI answers.
Detected tech stack: Drupal.
Social footprint: verified profiles on X (Twitter), Facebook, Instagram; no detected presence on LinkedIn, YouTube, GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked October 2026.
When asked "What is ENSIAS?", Claude could identify the brand as of October 2026. ENSIAS (École Nationale Supérieure d'Informatique et d'Analyse des Systèmes) is a prestigious public engineering school in Rabat, Morocco, affiliated with Université Mohammed V, specializing in computer science, software engineering, and systems analysis. Best known for Being one of Morocco's top engineering schools for computer science and IT education.
When asked "Best brands similar to ENSIAS?", Claude would recommend ENSIAS as of October 2026. It's widely regarded as one of the leading computer science and engineering institutions in Morocco, so it would naturally come up alongside other top Moroccan engineering schools.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
ENSIAS's main competitors in Education: École Mohammadia d'Ingénieurs (70/100), Institut National des Postes et Télécommunications (71/100), Université Internationale de Rabat (72/100), Al Akhawayn University (82/100).
Sources: Brand Analyzer scan
ENSIAS has low AI-search visibility, scoring 20/100 on Brand Analyzer's AI visibility composite (visibility 15, trust 19, recommendation 32). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: ENSIAS official site
ENSIAS scores 32/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Education options. Recommendation depends on crawlability, structured data, and category authority.
Sources: ENSIAS official site
ENSIAS is a Moroccan engineering school (École Nationale Supérieure d'Informatique et d'Analyse des Systèmes) affiliated with Université Mohammed V. It specializes in training state engineers in information systems and cybersecurity.
Sources: ENSIAS official site
ENSIAS trains highly qualified state engineers in the fields of information systems and cybersecurity. It provides advanced academic education combined with professional orientation in computer science and information security.
Sources: ENSIAS official site
ENSIAS can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: ENSIAS official site
ENSIAS offers engineering education programs leading to a state engineer degree, with specializations in information systems and cybersecurity. It focuses on both academic instruction and professional preparation for careers in these fields.
Sources: ENSIAS official site
ENSIAS is known for being a reference academic institution in Morocco for engineering education in information systems and cybersecurity, offering rigorous training linked to both academic and professional sectors.
Sources: ENSIAS official site
ENSIAS is used by students pursuing engineering degrees, future engineers, researchers, and professionals in Morocco who are interested in information systems and cybersecurity.
Sources: ENSIAS official site
ENSIAS scores 20/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
ENSIAS has a weak AI-visibility profile at 20/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (32/100) and its weakest is visibility (15/100). It benefits from a Wikidata knowledge-graph entry, a Moz Domain Authority of 48/100 and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify ENSIAS from memory (October 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to ENSIAS: INCORE (63/100), University of Education, Winneba (UEW) (63/100), Uniquest (63/100), Universität Siegen (63/100).
A step up - brands to learn from: 作业帮 (Zuoyebang) (71/100), Zentralwohlfahrtsstelle der Juden in Deutschland e.V. (71/100).
Category leader: Canva (97/100).
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