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 local directories top out below the technical limit because Google's crawl budget for new pages slows past a few thousand.

Yes. The local team edits the Google Sheet, pushes to a REST endpoint, or updates the CSV in the theme. SleekRank refreshes on the next cache cycle, and the cache can be cleared manually from the admin or via WP-CLI. No theme deploy, no static site build, no engineering involvement when a shop changes hours.

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 children.

Yes. You can branch a mapping based on a type column, or run multiple page groups against subsets of the data, each with its own base template. A common pattern: /local/{type}-{city}/ for major types with a richer template, /local/{neighborhood}/{type}/ for neighborhood cuts with a leaner one.

On the next cache refresh the row reflects the change. If you delete or mark the row inactive, the card vanishes and a removed-business URL returns 404. The sitemap is regenerated automatically so search engines drop the URL cleanly. Permanent closures stay flagged in the sheet.

Make the data carry the difference. Business counts, named featured shops, real ratings, neighborhood references, and curator quotes all vary per row. Avoid copy-paste paragraphs that swap only the city name - Google detects that pattern. The richer the per-row data, the lower the duplicate-content risk.

Yes. A URL pattern like /local/{city}/{type}/{neighborhood}/ produces /local/brooklyn/bakeries/williamsburg/, /local/austin/florists/east/, /local/portland/barbers/hawthorne/ from a combined data set or joined sheets. Use type, city, and neighborhood columns and run mappings against the cross-product.