A keyword research dataset is built from exports -- Google Search Console, rank trackers, or SERP tools -- but the exports themselves aren't the dataset. They become one once they're merged into a consistent structure with a defined reporting period.

The core fields are simple: query, landing page URL, clicks, impressions, and average position, all tied to an explicit date range. Without the date range, the numbers are meaningless six months later.

If you're combining multiple export sources, normalize the query and URL fields first -- the same query can be cased or trimmed differently across tools, which silently breaks any later grouping or analysis.

Once structured, this dataset supports far more than rank tracking: content gap analysis, AI visibility tracking, and historical trend reporting all depend on having clean query-and-page-level history rather than a single point-in-time snapshot.