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Position Bands Decide Priority

IN ONE SENTENCE
Beyond position 11, a keyword returns about 0.1 clicks a month — nearly all yield in this category sits in the top ten.
Our keyword-level analysis of 4,074 non-branded keywords for a leading site in this category: roughly 13.1 monthly clicks per keyword at positions 1–3, 3.4 at 4–10, 0.1 at 11–20, near zero beyond 21. Almost all yield sits in the top ten.
OUR POSITION
So the first test for a topic is whether we can reach the top ten for it, not how much volume it has. Twenty pages a week that all reach the top ten beat two hundred that rank past thirty.
How yield distributes
Positions 1–3: about 13.1 monthly clicks per keyword. 4–10: 3.4. 11–20: 0.1. Beyond 21: near zero.
In aggregate: the 2,770 keywords ranking past position 11 returned 43 clicks in total. Those pages contribute almost nothing to traffic while consuming crawl budget and internal authority.
What it means for topics and volume
Filter topics by difficulty: prioritise the band you can actually reach the top ten in, not the band with the most volume.
Set volume from topic space, not from a monthly target. Forcing volume beyond the available topics produces thin rephrasing that neither ranks nor pays for itself.
The Princeton equaliser effect points the same way: pages around position five gained most (+115.1%) while first-ranked pages lost 30.3% on average. Concentrate effort on the pages that are close to breaking into the top ten.
What review should read
Movement between bands: how many pages moved from 11–20 into 4–10 this period, and how many from 4–10 into 1–3.
Not decimals in an average. An average position improving from 24 to 19 makes no business difference — both sit in a band that returns nothing.
Data behind this page
13.1 / 3.4 / 0.1 / ≈0
Monthly clicks per keyword at positions 1–3 / 4–10 / 11–20 / 21+
Source:Our keyword-level analysis of 4,074 non-branded keywords for a leading site in this category,2026-06
+115.1% / −30.3%
Visibility change for pages ranked fifth versus ranked first
Source:The 'equaliser effect' in the Princeton GEO paper, KDD 2024,2024
Sources
- [1]GEO: Generative Engine Optimization.Aggarwal et al., KDD 2024.2024
Updated 2026-08-10