Run a free full auditNJ 365 Urgent Care is an urgent care clinic in Kendall Park, NJ, located at 3250 State Route 27, Suite 102. The facility is open Monday through Friday from 8:00am to 7:00pm and on Saturdays and Sundays from 9:00am to 3:00pm.
The medical team includes Dr. Jatin Shah, a board-certified Internal Medicine physician with over 10 years of experience, and Vijal Patel, PA-C, a board-certified Physician Associate with over 10 years of experience in urgent care and emergency medicine. The clinic treats conditions including upper respiratory infections, minor injuries, UTIs, women’s health issues, STDs, Lyme disease, allergies, and sports injuries.
Services provided include onsite X-ray, telemedicine, occupational and physical exams, and immigration medical exams. The onsite lab offers rapid testing for strep throat, mono, flu, RSV, and UTIs, as well as rapid COVID-19 testing, EKG, urine pregnancy tests, and urine drug screening. Some tests, such as PCR, respiratory panels, urine cultures, and STD blood testing, are sent to an external lab with results available in 24-72 hours.
BizScoreAI gave the business a Technical score of 92 out of 100, which means the website is secure and indexable so search engines can read it without errors. The Discoverability score is 88 out of 100, ensuring AI crawlers can find every page, which is the first step before any AI assistant can recommend the business.
BizScoreAI scanned the website nj365urgentcare.com on June 29, 2026. NJ 365 Urgent Care has a BizScore of 60 out of 100. The website audit behind the SEO score ran on October 28, 2026.
AI visibility scan by category: AI Discovery 13 of 25 points, Structured Data 8 of 25 points, Content Readiness 10 of 30 points, AI Trust Signals 15 of 20 points.
Website audit sub-scores (out of 100): On-Page 96, Technical 95, Performance 71, Content 31.
Strengths: 7 checks passed. AI Crawler Access, AI Content Blocking, Organization Schema, AI-Parseable Headings, Meta Description, About/Team Page, XML Sitemap.
Areas to improve: 5 checks. FAQPage Schema (failed), Q&A Content (failed), llms.txt (warning), Speakable Schema (warning), Author Signals (warning).
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Read by AI engines 3 times in the last 30 days.
Counted from AI crawler and assistant visits to this page, identified by user agent.
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