Anywhere structured. PostgreSQL or MySQL work well for teams with engineering support, Google Sheets or Notion work well for editor-only teams, and a flat JSON file in the repo works well for static archives. SleekRank reads any of them via the matching data source type.

Body sections live as an array per row. A short stub has one section; a deep article has fifteen. The list mapping iterates whatever length the data provides, so length variation does not require template changes.

Yes. Store formulas as LaTeX strings in the section html and load MathJax or KaTeX in the base template. Both libraries pick up LaTeX expressions at render time without per-page configuration.

Citations live as a JSON array per row, with fields for author, title, year, url, and publisher. A list mapping renders them into a consistent format from the template, so a citation that appears in two entries renders identically in both.

Knowledge panel inclusion depends on entity recognition, source authority, and Wikidata alignment, none of which SleekRank controls directly. What SleekRank does deliver is valid Article schema and consistent structure, which are prerequisites for any panel candidacy.

Add a 'disambiguation' page type with its own template and a row per ambiguous term. The body lists each disambiguated entry with a short context line and a link. Same source can carry both article entries and disambiguation entries via a type column.

Yes, that is the point of separating data from layout. Editors work in Google Sheets, Notion, or whatever source the team uses. The WordPress side handles only the template, so editors never need a CMS account.

Revision history lives in the source: Google Sheets keeps a version history, PostgreSQL can run an audit table, JSON in git gets full commit history. SleekRank reads the current state on each cache cycle; the source system owns history.