Also known as: Seasonality, seasonal keyword, trend seasonality
Seasonality describes the cyclical fluctuation in search demand for a keyword across the year — typical examples: ”Christmas presents” peaking in November–December, ”summer tyres” peaking in spring, ”school bags” peaking in July–August. Knowing the seasonality is essential for content timing and campaign planning: content for a seasonal search query has to be published 6–10 weeks before the peak so that it has time to rank and visibility is at its maximum when demand is highest.
Four practical tips: (1) Publish pre-season content 6–10 weeks before the peak. (2) Refresh content during the peak — update date, new statistics, new images. (3) Do not delete out-of-season content, leave it live — in the next seasonal cycle the article continues to rank without further effort. (4) Avoid seasonal URL maintenance — no ”/christmas-presents-2024” URLs, but ”/christmas-presents” with continuous updates.
Extract the annual data per keyword in GSC and compare it with the previous year's data: which peaks have shifted? Which new seasonal trends have emerged (for example climate and energy topics with a summer peak)? Which seasonal terms have disappeared entirely? This data forms the basis for content planning in the next annual cycle.
Example: An outdoor magazine plans a guide on ”camping without electricity”. Trends shows: main peak in mid-July, build-up from March, decline in September. The content is published in mid-May (8 weeks before the peak), with link building outreach staggered from June to mid-July. Top 10 visibility reaches its peak exactly when demand is highest — clicks are 3.4 times higher than for the previous year's article without Trends-based planning. A classic seasonality success through early timing.
Seasonality charts in the Keyword Hub
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