NewMed Immediate Care: SEO and an ACF-Powered, Location-Aware Website for a Three-Clinic Urgent Care

The challenge

Urgent care is one of the most local and time-sensitive searches there is. Patients look for care on their phones, often while sick or injured, and choose whichever clinic appears first and feels closest. NewMed operates three clinics in neighboring suburbs, so its website had to rank in each community and send every visitor to the right location without making them compare addresses.

The existing site was recently built but was not set up to compete in local search. Location details, services and provider information were not structured for SEO, the three clinics competed with each other instead of reinforcing one another, and the interface did not adapt to where the patient actually was.

What we did

The X Concept combined a local SEO program with a rebuild of the website interface on structured, reusable data.

• SEO optimization: On-page optimization of titles, meta descriptions and headings across service and location pages, targeting each clinic’s city and the surrounding suburbs it serves.
• Local visibility: Google Business Profile support for the clinic locations and Google Site Kit connecting Analytics and Search Console to measure organic performance.
• ACF Pro content architecture: Clinics, hours, phone numbers, services and providers managed as structured ACF fields, so every page pulls from one accurate source and the staff can update a clinic once and see it everywhere.
• Geolocation-driven UX: AI-assisted UX/UI that detects the visitor’s approximate location and surfaces the nearest clinic first, with its hours, a one-tap call button, directions and online booking.
• Faster paths to care: Persistent Book Appointment and Call Now controls, location cards with embedded maps, and per-clinic online booking through Solv.
• Service area coverage: A neighborhoods page covering roughly 37 nearby suburbs, from Arlington Heights and Schaumburg to Palatine and Elgin, extending the clinics’ reach in local search.