Operations and PMO teams shopping for capacity planning software shortlist three or four tools against headcount, resource model (people, teams, or skills), and which project management or PSA tool they already run. Per-tool pages capture category queries; per-pair pages capture the late-stage queries where Float versus Resource Guru is the active decision. Both page types share the same vendor data.

SleekRank reads one matrix with slug, tool name, seat pricing, resource model, project integrations, forecasting depth, and verdict. The per-tool page and every pair that references the tool pull from the same row. Tag mappings push seat pricing into the hero, list mappings render integrations into a repeated block, and meta mappings rewrite the description per slug.

The base page stays in your WordPress builder, designed once with anchors for hero, pricing, integrations, and verdict. The matrix lives in Google Sheets, CSV, or Notion. Edit a row when a vendor changes a seat tier or ships a new integration, flush the cache, and the corpus catches up. Adding a tool means appending a row, not writing a dozen pair pages by hand against the existing set.

Capacity planning is a category where buyers replatform every two to three years, usually when headcount jumps a tier or when the existing tool fails to model a new resource type (skills, equipment, contractors). The comparison query they run at that point is more specific than the one they ran the first time: they ask how a tool integrates with the project management or PSA they already use, whether it handles their resource model, and what the seat math looks like at their headcount. A page that lists Float as integrating with Asana when the integration shipped is harmless; a page that misses an integration entirely is missing the buyer's exact question.

Worse, a page that quotes last year's seat price after a tier launch burns trust the moment a buyer clicks through. Affiliate revenue depends on the click converting at the vendor, so trust on the page is paid trust. The freshness problem also affects forecasting features.

Vendors ship scenario planning, skill-based forecasting, and AI assist features regularly, and a page that lists forecasting as Yes without naming the new capabilities loses to competing pages that do. SleekRank does not solve research; it solves making sure the cell you edit is reflected on every page by the next cache cycle, including the pair pages where two tools are compared at the same headcount. Drift gets contained at the data layer.