Every mineral has the same fields: chemical formula, Mohs hardness, crystal system, lustre, cleavage, fracture, specific gravity, streak colour, and common occurrences. That structural shape repeats across the roughly five thousand named mineral species. Hand-publishing each one into WordPress posts is a slow path to inconsistent formula formatting, drift in crystal-system labels, and a corpus that scientists find unusable.

SleekRank reads the mineralogy database from Google Sheets, CSV, or JSON (including public mindat-style exports) and emits one indexable WordPress URL per mineral at /minerals/{slug}/. Tag mappings drop the mineral name into the H1, selector mappings handle hardness and crystal system, list mappings render occurrence and associated-minerals arrays, and a meta mapping carries the formula into a structured slot.

The database stays canonical. Adding a mineral is a row append; correcting a hardness value is one cell edit. Crystal-system clusters (all isometric minerals, all hexagonal minerals) and lustre clusters run from the same source via additional page groups, so the mineralogy corpus stays cross-referenced without manual taxonomy upkeep.

Mineralogy is exactly the kind of structured data that suffers most under hand-publishing. Every mineral shares the same field set (formula, hardness, crystal system, lustre, cleavage, fracture, occurrence) and the differences are pure values, not narrative choices. Forcing that into individual WordPress posts means inconsistent formula formatting across the corpus, crystal-system labels that drift between authors, and a search experience where users cannot reliably filter by structural property.

Public mineralogy data already exists as JSON exports; pasting it into WordPress is the wrong direction for the data and the wrong workflow for the geologists who maintain it. SleekRank treats the mineralogy database as the canonical source and emits one indexable URL per mineral with the structural fields in fixed slots, occurrence and association arrays rendered through list mappings, and crystal-system clusters running automatically from a second page group. Geologists keep working in the database tool they already use, students and prospectors get a clean structured page per mineral, and bulk corrections to crystal-system labels or hardness values propagate to the entire corpus on a single cache flush.

The site grows by row, the schema stays consistent, and the mineralogy corpus scales to thousands of species without the editorial team ever touching the WordPress block editor.