I start by deciding which searches deserve their own page.
The case studies work because keyword research became a page decision across new service pages, stronger category pages, local pages, and better support for existing pages.
I group demand by intent, not just by keyword volume.
I look for the difference between research, comparison, local, service, and purchase intent so important terms do not get blended into the same vague plan.
I remove overlap before it turns into weak pages.
When multiple URLs can plausibly target the same query, I decide which page should own it and what supporting pages should do instead.
I turn the map into clear page instructions.
The output should tell writers, designers, developers, or internal teams what the page is for, what it should cover, and how success will be measured.
I keep the rollout tied to performance.
After pages launch or updates go live, I review rankings, traffic, leads, purchases, or page-set performance so the research does not sit in a spreadsheet.