No. SleekRank reads from your data source. If your sheet pulls fee data via a script on a schedule, those flow through on the cache cycle. SleekRank does not scrape bank disclosure PDFs or call APIs directly. The pattern is a separate 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 accounts 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 account is referenced after the cache cycle, including every pair page where the account is product_a or product_b. The data layer enforces consistency that manual page editing cannot.

Add a category column with values like standard, second_chance, student, senior, military. The per-account page can render a category pill via tag mapping, and a separate page group can filter accounts by category at /checking/second-chance/ or /checking/student/, driving landing pages for buyer types from the same source.

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 account 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 account page can render a custom social card via that mapping. For dynamic per-account OG images that overlay monthly fee, waiver rule, and overdraft policy over a styled background, pair with SleekPixel which renders OG images from data on the fly.

Update the overdraft_program, overdraft_cap, and eligibility_rules columns. Every page that references the account, including per-account, every pair page where it appears, and any category roll-up, reflects the change after the cache window. Overdraft policy changes have been frequent in recent years, and this is the dimension manual reviews drift on hardest.

Store sign_up_bonus, bonus_requirements, and bonus_expiration as columns. Render them in a promo callout via tag mapping on the per-account page, and join on pair pages to compare current bonuses side by side. When a promo expires or changes, edit the row and the entire catalog reflects it on the next cache cycle.

Yes. Store atm_network_name, atm_count, and a map_image_url as columns. Render the count and network name on the per-account page, and pull the map image into a section via selector mapping. For finer-grained per-state ATM coverage, store a JSON object keyed by state code and render it via list mapping on a dedicated section.