Common starts include the WHO ATC class list, internal pharmacology editorial sheets, and derivatives of openly licensed pharmacology references. SleekRank accepts CSV, JSON, REST, and WordPress custom post types, so teams begin with a CSV and migrate to a CPT when editorial volume justifies a richer workflow.

Each row carries the ATC code. The atcCode column drives breadcrumbs, parent links, and the related-pages cluster. Teams that want hierarchical URLs add the parent slug to the URL pattern as /drug-classes/{parent}/{slug}/, and SleekRank routes accordingly without extra plugins.

Yes. Run two page groups, one at /drug-classes/{slug}/ keyed on class rows and one at /drugs/{slug}/ keyed on individual agents. Cross-link the two through the commonAgents and class fields. Both trees stay in sync because they read from related rows in the same source.

Most teams use a status column on each row plus an editorial review workflow. Rows in draft do not render. SleekRank only serves rows with status published, so unreviewed entries stay private. The data layer makes that gate trivial to enforce on every URL in the page group.

Yes. The base template can emit Drug, MedicalIndication, and FAQ schema using fields from the row. ATC codes plug into the medicineSystem property, mechanism becomes mechanismOfAction, and contraindications become a list. Search engines parse all of that for richer result presentation.

Update the slug on the row and add a redirect from the old slug. After the next cache clear, the new URL renders and the old URL forwards. Teams that maintain a class history use a previousSlugs column on the row to keep that table of redirects under version control.

Add a language column to the dataset and parameterize the URL pattern as /{lang}/drug-classes/{slug}/. Each language renders as its own URL with its own canonical, hreflang, and meta description. Class names that share an ATC code link across languages through the atcCode field.

Yes. Resolved rows live in the items cache table indexed by slug. Each request is an indexed lookup plus a normal Timber render. Per-request work does not scale with the dataset size, so adding rows from 250 to a few thousand classes leaves TTFB essentially unchanged.