Yes. Add stack and city columns to your sheet and define a URL pattern that combines them, or run two separate page groups for the two cuts. A program in Austin teaching React surfaces on /bootcamps/react/austin/ and /bootcamps/austin/ and the program profile, all from one row.

Add or update the row in the sheet with the new cohort dates, then clear the SleekRank cache. The program page, the per-stack rollup, and the per-city rollup all reflect the new dates and tuition immediately. There is no per-page edit; the dataset is the only source the rendered pages read.

No. SleekRank injects content from your data source into the base page through tag, selector, list, and meta mappings. You write the copy in your sheet, your CMS, or directly in the base template. SleekRank does not generate any text on your behalf, it renders what the row contains.

Yes. Map an image URL column to og:image through the meta mapping, or pair with SleekPixel to render dynamic OG cards from the row data. SleekPixel reads the same row fields, so the per-program OG image stays aligned with the cohort copy on the page.

SleekRank adds each generated URL to the sitemap automatically. Indexing depends on Google, which still values unique copy, internal links, and clear differentiation between pages. Per-stack-by-city rollups with genuinely distinct program lists tend to index well; thin pages with mostly identical copy do not, regardless of how they are generated.

Append rows for that city to the sheet, optionally add a city landing page in the same page group or a separate one, and flush rewrites. No new templates are needed. The base bootcamp page handles every program in the new city, and the existing per-stack rollups pick up the new metro automatically.

Add a format column with values like full-time, part-time, or self-paced and render it as a tag mapping on the profile. You can also add /bootcamps/{format}/{stack}/ as a third cross-cut so prospective students searching specifically for part-time React or full-time Python bootcamps land on the right page.

Yes. Use Remote as the city value or add a separate is-remote flag. The URL pattern can still include /bootcamps/{slug}/ for the program profile, and a /bootcamps/remote/{stack}/ rollup picks up every row flagged remote. Mixing remote and metro programs in one dataset works cleanly with the right column structure.