SleekRank for mineral listings
Per-specimen and per-locality landing pages built from one spreadsheet. Map species and mine to headlines, crystal habit and aesthetics to badges, label provenance to schema, and ship indexable WordPress pages from a single base template.
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Mine-and-species pages are how minerals get found
Mineral search is unusually exact. A collector chasing "Tsumeb azurite Namibia old stock cabinet specimen" wants the species, the mine, the level, the historic label provenance, the crystal habit, and the cabinet-size designation. The rankable surface is species x mine x size class x label, tens of thousands of permutations once you cover Tsumeb, Mt Saint-Hilaire, Mibladen, and a working stock. Hand-building those pages is impossible. SleekRank reads a single Google Sheet, CSV, JSON file, or REST endpoint and emits one WordPress page per row, all sharing the base template you already designed in the editor.
The data layer is the inventory. Add a row for a 7-cm Tsumeb azurite cabinet specimen at $4,200 with a Smale label and the page goes live on the next cache refresh. Update the price after a Tucson show week settles a comparable piece, every relevant page picks it up. No static rebuilds, no per-listing edits, no engineer.
Mappings do the wiring. Tag mappings push the species and mine into the H1 and document title; selector mappings put the size class and label provenance into the spec block; list mappings render measurement details and association notes from a JSON column. The XML sitemap auto-includes every generated URL. Sold specimens return 404 cleanly on the next refresh.
Workflow
From inventory row to ranked mineral page
Design the base page
Connect the sheet
Wire the mappings
Publish and flush
Data in, pages out
From inventory row to live listing URL
Each row becomes one page. The slug column maps to the URL, the rest of the columns flow into headlines, size badges, label provenance notes, and OG tags through simple selector or list mappings.
| slug | species | mine | country | size | price |
|---|---|---|---|---|---|
| azurite-tsumeb-namibia-cabinet-old-stock | Azurite | Tsumeb Mine | Namibia | Cabinet 7 cm | $4,200 |
| rhodochrosite-sweet-home-colorado-miniature | Rhodochrosite | Sweet Home Mine | Colorado, USA | Miniature 4 cm | $3,800 |
| tourmaline-cruzeiro-brazil-thumbnail | Elbaite Tourmaline | Cruzeiro Mine | Minas Gerais, Brazil | Thumbnail 2 cm | $520 |
| aquamarine-erongo-namibia-cabinet | Aquamarine | Erongo Mountains | Namibia | Cabinet 9 cm | $2,800 |
| vanadinite-mibladen-morocco-miniature | Vanadinite | Mibladen | Morocco | Miniature 5 cm | $340 |
/minerals/{slug}/
- /minerals/azurite-tsumeb-namibia-cabinet-old-stock/
- /minerals/rhodochrosite-sweet-home-colorado-miniature/
- /minerals/tourmaline-cruzeiro-brazil-thumbnail/
- /minerals/aquamarine-erongo-namibia-cabinet/
- /minerals/vanadinite-mibladen-morocco-miniature/
Comparison
Hand-crafting mineral pages vs SleekRank
Building each listing manually
- Each specimen is a duplicated WordPress page with hand-typed mine and label provenance
- Adding 100 fresh acquisitions means 100 pages built one at a time
- Label provenance updates after a collection purchase require touching every page
- No structured data layer, Product schema hand-written per specimen
- Sitemap, indexing, OG tags, all maintained per page
- Inventory lags reality, sold specimens linger, sitemaps drift
SleekRank
- One base page in WordPress, thousands of mineral pages generated from data
- CSV, Google Sheets, JSON, REST API, or Notion as the source of truth
- Edit a row, page updates automatically on the next cache refresh
- Mappings handle title, H1, size badges, label provenance notes, meta tags, and OG images
- XML sitemap auto-generated for every produced URL
- WordPress-native, works with your theme, your blocks, your editor
Features
What SleekRank gives you for mineral listings
Seven data source types
Google Sheets, CSV files, JSON URLs, JSON files, Notion databases, REST APIs, and CSV URLs. Mix multiple sources in one page group when inventory data and Mindat-style locality data live separately.
Four mapping types
Replace by tag (h1, title), by CSS selector (#size, #label), by list iteration for association notes, or by meta tag for description and og:image. Each mapping targets one cell.
Cache and rebuild
Set cache duration per source, 5 minutes during Tucson show week, 24 hours when stable. Invalidate on schedule or on demand. Pages render from cache, not from a static build step.
Use cases
Where mineral listings shine with SleekRank
Mineral dealers
Per-specimen pages with species, mine, size class, and label provenance beat a generic shop archive. Collectors search for the precise locality, serve them a URL with the historic label scan already laid out.
Mineral auctions
Each lot becomes a WordPress companion page that ranks on long-tail species-plus-mine queries, with a clean redirect to the live bidding page when the sale goes hot.
Locality reference projects
Per-mine reference pages drawn from collection data feed the queries that mineralogical press cannot cover, generated from a community spreadsheet rather than a CMS export.
The bigger picture
Why per-mine mineral pages outrank shop archives
A single shop archive filtered by query string cannot win "Tsumeb azurite cabinet old stock Smale label" against a competitor who built a dedicated, schema-marked URL for it. Google ranks pages, not parameters. Mineral intent is also high-value bottom-of-funnel, the collector quotes the mine and level, knows the historic dealer label, and is comparing three dealers at once.
Duplicated boilerplate gets bounced and unique data wins. The specimens that rank carry specifics: mine and level, label provenance, size class, crystal habit, association minerals, photographs of the specimen on every face. Maintaining that uniqueness across 3,200 specimens by hand is impossible; maintaining it across 3,200 rows in a sheet is a single afternoon.
SleekRank turns the inventory spreadsheet into the SEO surface, which collapses the gap between the cataloguer who handles the labels and the team that owns the URLs. The base page still belongs to WordPress, so design, tracking, and CRO experiments stay where they always lived. Adding a new specimen becomes a row plus a cache flush rather than a sprint.
Questions
Common questions about SleekRank for mineral listings
Page groups with 5,000+ generated URLs run on a single base template without issue. The data layer is cached and rendering re-uses your existing WordPress page, so the practical ceiling is your hosting plan and your sitemap budget. Most mineral catalogues top out well below the technical limit because Google's crawl budget for new pages slows past a few thousand.
Yes. Edit your Google Sheet, push to your inventory REST endpoint, or update the CSV in the theme. SleekRank refreshes on the next cache cycle, and you can clear the cache manually from the admin or via WP-CLI. No theme deploy, no static site build, no engineering ticket.
Yes. SleekRank uses your existing base WordPress page as the template. Whatever theme, blocks, page builder, or custom CSS rendered that page renders every generated URL identically. Bricks, Elementor, Gutenberg, Oxygen, and classic themes all work because SleekRank operates on the rendered HTML.
Yes. They are real WordPress URLs with full HTML, sitemap inclusion, and per-page meta tag mappings for title, description, canonical, and og:image. The base template page is excluded from the sitemap and marked noindex automatically so it never competes with the generated listings.
Yes. You can branch a mapping based on a size-class column, or run multiple page groups against subsets of the data. A common pattern: /minerals/{slug}/ for cabinet specimens with a richer template, /minerals/thumbnails/{slug}/ for thumbnail and miniature material with a leaner one.
On the next cache refresh the URL stops resolving and returns 404. The sitemap is regenerated automatically so search engines drop the URL cleanly. If you would rather redirect a sold specimen to a similar locality, point the slug at a wildcard rule in your normal WordPress redirects plugin before deleting the row.
Make the data carry the difference. Mines, levels, label provenance, crystal habits, association minerals, and acquisition dates all vary per row. Avoid copy-paste paragraphs that swap only the species name. The richer the per-specimen data, the lower the duplicate-content risk.
Yes. A URL pattern like /{species}/{mine}/ produces /azurite/tsumeb/, /rhodochrosite/sweet-home/, /tourmaline/cruzeiro/ from a combined data set or two joined sheets. Use a species sheet and a mines sheet, then run mappings against the cross-product.
Pricing
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