No. SleekRank reads from your data source. If your sheet pulls APYs via a script on a schedule, those flow through on the cache cycle. SleekRank does not scrape neobank apps or call APIs directly. The pattern is a separate scraping or import job that updates the sheet, and SleekRank renders whatever is current in the source after a cache flush.

Both page groups read from the same neobanks sheet. The pairs page group joins two rows at render time using the slug pair from a pairs sheet. A row edit propagates to wherever the neobank is referenced after the cache cycle, including every pair page where the brand is product_a or product_b. The data layer enforces consistency that manual page editing cannot.

Add separate columns for checking_apy, savings_apy, and any pods or sub-account structures. The per-neobank page can render distinct product blocks via tag mapping, and a separate page group at /neobanks/savings/{slug}/ can target buyers comparing high-yield digital savings accounts specifically.

No. The verdict is whatever is written in the sheet. SleekRank does not write content, it injects content. For longer verdicts that exceed a sheet's column comfort, store them in a separate JSON file keyed by neobank slug and join at render time. The verdict text is yours, the render layer is the responsibility of SleekRank.

Yes. Map an image URL column to og:image with the meta type. Each neobank page can render a custom social card via that mapping. For dynamic per-brand OG images that overlay current APY, partner bank, and fee status over a styled background, pair with SleekPixel which renders OG images from data on the fly.

Update the partner_bank and partner_bank_change_history columns in the sheet. Every page that references the neobank, including per-brand, every pair page where it appears, and any category roll-up, reflects the change after the cache window. This is the dimension manual builds drift worst on, since partner-bank migrations rarely propagate across dozens of pages by hand.

Store overdraft_program_name, overdraft_cap, and eligibility_rules as columns. Render them in a fee-avoidance callout via tag mapping on the per-neobank page, and join on pair pages to compare overdraft programs side by side. Program changes propagate from one row edit across the entire catalog.

Yes. Store CFPB complaint counts or app-store downtime reports in a separate JSON file keyed by neobank slug and render it as a chart via a chart library on the base template. The page reflects current facts from the main row plus historical context from the side dataset, joined at render time, which helps readers weigh stability alongside features.