US naturalization records before 1906 lived in roughly 3,000 different courts, including federal, state, county, and even justice-of-the-peace levels. Petitions and declarations filed in any one of them could grant citizenship, which makes identifying the right court the first and hardest step of naturalization research. Aggregators index petitions by name, but the court itself, the actual primary index, has no dedicated landing page in most public surfaces.

SleekRank reads the court jurisdiction CSV and emits one WordPress page per court. Each page carries court name, jurisdiction (federal, state, county, municipal), city and state, date range of surviving records, microfilm reel ranges, GovernmentOrganization schema, and a contact reference to the modern records custodian, all driven by tag and selector mappings on a shared base. The URL pattern is /naturalization-courts/{slug}/, and new transcriptions appear after the next cache refresh.

The operational win is that the USCIS Genealogy program and NARA already publish the court list. SleekRank reads it directly and produces a per-court landing page corpus on a genealogy chapter's domain, which makes the chapter the natural first stop for naturalization research instead of an aggregator's name search.

Naturalization research is structurally a court-first problem before it becomes a petitioner search. Aggregators won the category by indexing petitioner names without surfacing the courts themselves, which means researchers either pay for premium access or do the court derivation manually. Genealogy chapters and heritage groups produced the crosswalks that make naturalization research tractable, but the resulting organic traffic almost entirely bypasses them.

SleekRank turns the same CSV into a per-court landing page corpus on the chapter's own domain. Each court becomes its own URL that ranks for jurisdiction, city, state, and date-range searches. Internal links across courts, petitions, and successor custodians build a cross-linked structure that mirrors how naturalization research actually flows.

GovernmentOrganization, Place, and Event schema make every page eligible for entity panels and enhanced results. The chapter retains the data file, controls the publishing surface, and captures the long-tail searches that previously funded aggregator paywalls. Aggregators win on petition-name breadth; the per-court page wins on the structural depth that naturalization research uniquely requires.