Run a free full auditAffinity Health Center is a medical clinic in Rock Hill, SC. The center provides high-quality, comprehensive healthcare for the entire family, serving the needs of the community with services including primary care, specialist referrals, and mental health counseling. The clinic also offers onsite dental care, HIV specialty care, Hepatitis C treatment, and STD testing. They serve individuals regardless of insurance status, including those with Medicaid, Medicare, or those who are uninsured, by providing a discount fee schedule based on income.
As a Federally Qualified Community Health Center, the organization has a history dating back to 1994, originally forming as the Catawba Care Coalition to serve the HIV+ population in York, Chester, and Lancaster Counties. The center has expanded its scope over the years to become a full-service family practice. The medical team includes physicians, nurse practitioners, dental professionals, mental health counselors, nurses, and social workers. In addition to medical and dental services, the main location features Avita Pharmacy in the lobby to provide convenient access to medications.
The clinic is located on Lakeshore Pkwy, about 0.4 miles from York Technical College and the County Technical Education Center.
Affinity Health Center is known for providing a wide range of affordable, accessible healthcare services to the local community. The center remains a vital resource for families in Rock Hill seeking compassionate and comprehensive medical, dental, and mental health support.
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BizScoreAI scanned the website affinityhealthcenter.org on June 3, 2026. Affinity Health Center has a BizScore of 54 out of 100. The website audit behind the SEO score ran on October 23, 2026.
AI visibility scan by category: AI Discovery 10 of 25 points, Structured Data 0 of 25 points, Content Readiness 19 of 30 points, AI Trust Signals 3 of 20 points.
Website audit sub-scores (out of 100): On-Page 45, Technical 78, Performance 73, Content 65.
Strengths: 3 checks passed. AI Crawler Access, AI Content Blocking, AI-Parseable Headings.
Areas to improve: 7 checks. llms.txt (failed), Structured Data (failed), Meta Description (failed), Q&A Content (warning), About/Team Page (warning), XML Sitemap (warning), Author Signals (warning).
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