One row per era. Required columns are slug, era, description, start_year, end_year, and region. Useful optional columns include regional_centers, hallmark_composers, characteristic_forms, key_works, preceded_by, followed_by, hero_image, and Wikipedia source URL. Each column maps to its own slot on the rendered page.

Yes. The timeline component reads start_year and end_year, and a separate list mapping fetches adjacent eras via preceded_by and followed_by slugs. The renderer can stack overlapping eras when the date ranges intersect, so movements like the Second Viennese School and the late Romantic period appear side by side.

Store hallmark_composers as a JSON list of objects with name and slug. The list mapping iterates the array and renders one card per composer, with the href pointing at the matching SleekRank composer page if you maintain one. Otherwise the link falls back to the composer's Wikipedia URL stored in the same row.

Yes when each page carries unique structured content. Timeline data, regional centers, hallmark composers, characteristic forms, and key works together easily exceed the depth Google expects for a reference entry. Each URL serves its own structured data block and competes for its own long-tail query rather than fighting siblings for an anchor.

Yes. Append a row to the CSV with slug, era name, date range, region, and any composers or works you already know about. Save the sheet. The next cache refresh produces the URL at /eras/{slug}/ and the sitemap picks it up automatically. No WordPress draft management for routine additions.

Yes. Store key_works as a JSON list of objects with title, composer, year, and recording URL. The list mapping renders each work as a citation card with hover-revealed details. The audio embed plays the recording if a URL is provided. Editorial maintains the canonical list in the sheet for every era page that references it.

Yes. A separate SleekRank page group can read the same CSV and render a chronological overview page with one entry per era, sorted by start_year. Clicking an entry deep-links to the era's own SleekRank URL. The overview and the per-era pages share the canonical data source.

SleekRank writes a CreativeWork-flavored schema block per row, including name, description, temporalCoverage from start_year and end_year, contentLocation from region, and citation entries for key works. The meta mapping inserts the JSON-LD block into the head, so Google can read the structured data alongside the rendered HTML.