Connecting Research to Global Networks
Magpi (magpi.net) scores 77 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Telecommunications brands, Education brands, Technology brands, in the 46th percentile of 2566 Telecommunications brands.
Magpi is a regional optical network operator founded in 2003, headquartered in Washington, D.C., serving universities, research institutions, and educational organizations primarily in the Philadelphia area. It provides high-performance network connectivity linking member institutions to Internet2 and more than 86 international research and education networks, supported by dedicated technical assistance and transparent utilization reporting.
| Brand Name | Magpi |
|---|---|
| Domain | magpi.net |
| Industry | Telecommunications, Education |
| Founded | 2003 |
| Headquarters | Washington, D.C. |
| Main Competitors | Internet2 (91/100), KINBER, MAX (Mid-Atlantic Crossroads), NYSERNet (84/100), OARnet (85/100), CENIC (80/100) |
Moz Domain Authority 30/100 vs category average 44 / leader 99 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #4,341,109 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
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 "İstanbul escort bayanlar ile VIP kalitede özel anlar. 7/24 aktif, gizli ve güvenli randevu." (Meta description: 14 words (ideal length). 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: Nginx, WordPress, Ghost.
Social footprint: verified profiles on X (Twitter), Instagram, YouTube, GitHub; no detected presence on LinkedIn, Facebook - 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 Magpi?", Claude could identify the brand as of October 2026. Magpi (formerly EpiSurveyor) is a mobile data collection platform that lets organizations, especially NGOs and health programs in developing countries, design surveys and gather field data via mobile phones and tablets, then analyze the results online. Best known for Mobile data collection software used widely in global health and international development projects.
When asked "Best brands similar to Magpi?", Claude would recommend Magpi as of October 2026. It's a well known, long-standing tool in the mobile data collection space for NGOs and development work, so it's worth mentioning alongside similar platforms like ODK or KoboToolbox.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Magpi's main competitors in Telecommunications: Internet2 (91/100), NYSERNet (84/100), OARnet (85/100), CENIC (80/100).
Sources: Brand Analyzer scan
Magpi has limited AI-search visibility, scoring 31/100 on Brand Analyzer's AI visibility composite (visibility 21, trust 26, recommendation 53). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Magpi official site
Magpi was founded in 2003. Magpi operates in the Telecommunications category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Magpi is headquartered in Washington, D.C.. Magpi operates in the Telecommunications category.
Sources: Wikidata
Magpi scores 53/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Telecommunications options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Magpi official site
Magpi 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: Magpi official site
Magpi is a regional optical network operator founded in 2003 and headquartered in Washington, D.C. It serves as a dedicated network infrastructure provider connecting universities, research institutions, and educational organizations in the Philadelphia region to Internet2 and international research and education networks.
Sources: Magpi official site
Magpi provides high-performance regional network connectivity that links member institutions, such as universities and research organizations, to Internet2 and more than 86 international research and education network partners. It offers dedicated optical network infrastructure, technical support, and transparent utilization reporting to its member institutions.
Sources: Magpi official site
Magpi is used by universities, research institutions, and educational organizations located in the Philadelphia region that require high-performance network connectivity and technical support to access Internet2 and international research and education networks.
Sources: Magpi official site
Magpi scores 31/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Magpi has a weak AI-visibility profile at 31/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (53/100) and its weakest is visibility (21/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #4,341,109 (Tranco) 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, a low Moz Domain Authority of 30/100 and thin schema.org structured data. In a live check, Claude could already identify Magpi 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 Magpi: M1 Singapore (77/100), LIWEST (77/100), Marki Microwave (77/100), Mini Circuits (77/100).
A step up - brands to learn from: ZPE Systems (81/100), Zone.eu (81/100).
Category leader: GoTo (97/100).
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