Advancing Engineering Research Together
Journal of Materials and Mechatronics: A (journalmm.com) scores 58 out of 100 on Brand Analyzer, placing it in the Developing tier among Education brands, Other brands, in the 4th percentile of 6561 Education brands.
Journal of Materials and Mechatronics: A is an academic journal that publishes peer-reviewed research in materials science and mechatronics-related engineering fields. It provides a platform for original research spanning metallurgical, mechanical, electrical, biomedical, and computer engineering disciplines. The journal is aimed at academic researchers, engineers, and scientists, and positions itself as a rigorous, academically standardized outlet for disseminating scholarly work in these interdisciplinary areas.
| Brand Name | Journal of Materials and Mechatronics: A |
|---|---|
| Domain | journalmm.com |
| Industry | Education, Other |
| Main Competitors | Materials Today, Journal of Materials Science (68/100), Mechatronics (Elsevier) (88/100), IEEE/ASME Transactions on Mechatronics (86/100), MDPI Materials (88/100), Acta Materialia (88/100) |
Moz Domain Authority 3/100 vs category average 50 / leader 99 - limited third-party links, so AI systems rarely 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 "Bir başka WordPress sitesi" (Meta description too short (4 words). No OG description (falling back to meta)) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: Microdata (Schema.org), canonical. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: PHP, Nginx, WordPress, Ghost.
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 September 2026.
When asked "What is Journal of Materials and Mechatronics: A?", Claude could identify the brand as of September 2026. Journal of Materials and Mechatronics: A is an academic open-access journal published by Universitas Andalas (Indonesia) that covers research in materials science, mechanical engineering, and mechatronics. Best known for Publishing peer-reviewed research articles on materials science and mechatronics engineering, primarily from Indonesian and Southeast Asian researchers.
When asked "Best brands similar to Journal of Materials and Mechatronics: A?", Claude would not surface Journal of Materials and Mechatronics: A as of September 2026. It's a niche regional academic journal rather than a widely recognized brand, so I wouldn't bring it up unless someone specifically asked about materials/mechatronics journals from Indonesia.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Journal of Materials and Mechatronics: A's main competitors in Education: Journal of Materials Science (68/100), Mechatronics (Elsevier) (88/100), IEEE/ASME Transactions on Mechatronics (86/100), MDPI Materials (88/100), Acta Materialia (88/100).
Sources: Brand Analyzer scan
Journal of Materials and Mechatronics: A has low AI-search visibility, scoring 18/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 21, recommendation 45). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Journal of Materials and Mechatronics: A official site
Journal of Materials and Mechatronics: A scores 45/100 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: Journal of Materials and Mechatronics: A official site
Journal of Materials and Mechatronics: A is a specialized academic journal that publishes peer-reviewed research articles in materials science, mechatronics, and related engineering fields. It serves as a scholarly platform for disseminating original research to the academic and scientific community.
Sources: Journal of Materials and Mechatronics: A official site
Journal of Materials and Mechatronics: A 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: Journal of Materials and Mechatronics: A official site
The journal offers publication of original, peer-reviewed academic research articles in materials science, mechatronics, and related engineering fields such as metallurgical, mechanical, electrical, biomedical, and computer engineering.
Sources: Journal of Materials and Mechatronics: A official site
The journal is used by academic researchers, engineers, and scientists working in materials science, mechatronics, mechanical, electrical, electronics, biomedical, chemistry, physics, and computer engineering fields, who seek to publish or read original research in these disciplines.
Sources: Journal of Materials and Mechatronics: A official site
It is known for being a specialized academic journal focused on materials science and mechatronics, offering a peer-reviewed publishing platform for interdisciplinary engineering research including metallurgical, mechanical, electrical, biomedical, and computer engineering topics.
Sources: Journal of Materials and Mechatronics: A official site
Journal of Materials and Mechatronics: A scores 18/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Journal of Materials and Mechatronics: A has a weak AI-visibility profile at 18/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (45/100) and its weakest is visibility (0/100). It benefits from 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, no strong Wikidata entry and a low Moz Domain Authority of 3/100. In a live check, Claude could already identify Journal of Materials and Mechatronics: A from memory (September 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 Journal of Materials and Mechatronics: A: Jhagde News (58/100), JEI Learning Center (58/100), Laimes Formula (58/100), Leif (58/100).
A step up - brands to learn from: ZenX Academy (71/100), YourDOST (71/100).
Category leader: Canva (97/100).
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