Run a free full auditLAU New York is a university in New York, NY. The institution provides flexible and affordable business and technology education, offering a Bachelor of Science in International Business and specialized online graduate programs. The university serves a global student body, focusing on developing future entrepreneurs and tech pioneers through a curriculum designed to be hands-on and experiential.
The university is a campus of the Lebanese American University, continuing a legacy of excellence that dates back to 1924. LAU New York offers New York-state accredited programs, including an undergraduate business program developed with a startup incubator sensibility. The faculty serves as both teachers and mentors, providing personalized instruction without the use of teaching assistants. The institution is NECHE accredited, and its School of Business holds AACSB accreditation, placing it among the top 5% of business schools globally.
Located on East 46th Street in Midtown Manhattan, the campus sits in the heart of the city's business district. The location is a short walk from the 3rd Avenue intersection and is near a FedEx Office.
LAU New York is recognized for its high-caliber, globally respected education and its commitment to making world-class learning accessible through robust scholarship opportunities. The university is known for its dedication to student success, academic excellence, and fostering a community of global citizens.
LAU New York provides transformative business and technology education for aspiring leaders in New York City.
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BizScoreAI scanned the website nyc.lau.edu on June 18, 2026. LAU New York has a BizScore of 56 out of 100. The website audit behind the SEO score ran on October 27, 2026.
AI visibility scan by category: AI Discovery 10 of 25 points, Structured Data 0 of 25 points, Content Readiness 14 of 30 points, AI Trust Signals 16 of 20 points.
Website audit sub-scores (out of 100): On-Page 76, Technical 95, Performance 75, Content 16.
Strengths: 6 checks passed. AI Crawler Access, AI Content Blocking, AI-Parseable Headings, Meta Description, About/Team Page, XML Sitemap.
Areas to improve: 6 checks. llms.txt (failed), FAQPage Schema (failed), Q&A Content (failed), Organization Schema (warning), Speakable Schema (warning), Author Signals (warning).
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