Most teams mirror the AASM accreditation database into a Google Sheet, then point SleekRank at the sheet as a CSV URL. AASM updates the public registry on a rolling basis. When the editor refreshes the sheet after a quarterly review, all 300 city pages reflect the change on the next cache cycle. A 14-day cache balances freshness with stability.

Yes. The list mapping reads two nested arrays per city: one for accredited centers and one for board-certified individual physicians without an accredited center. Cards render with different badges, so patients see at a glance which option fits their referral path.

The page renders cleanly with one center card, a hero count of 1, and a link to the nearest higher-density city. Single-center city pages are valuable because they answer the specific query that family is typing and earn the long-tail traffic an aggregator site misses.

Yes. Run two SleekRank page groups against the same roster with different filters. The pediatric group filters to rows with pediatric-accreditation flags. The adult group includes all centers. Each group has its own URL pattern, base page, and mappings, sharing the underlying data layer.

Yes, via a meta mapping that writes JSON-LD into the page head. Each URL ships valid MedicalBusiness structured data with sleep specialty fields, address, and accreditation status. Google reads the schema regardless of the visible card layout, which keeps the SEO surface stable as you iterate.

Update the row to mark accreditation as expired. The card on that city page renders with a warning badge or you can filter expired centers out of the list mapping. URLs for cities that lose their last accredited center return a thin page or a redirect to the nearest accredited metro, depending on how you configure the filter.

Yes. Anything on the base page renders on every generated city page. An Epworth or STOP-BANG questionnaire built with Gravity Forms appears on all 300 city URLs, with city and lead hospital passed into hidden values via shortcode so the lead is routed to the right sleep center.

Patients search by city first, not center name, so the URL should be per-city with centers as list items. A CPT-per-center inverts that, then you need taxonomy pages to recover the city URL anyway. SleekRank delivers the city page directly with centers as data inside it, which matches search intent.