GSC Quadrants

Most Search Console analysis is a top-N clicks table. It tells you what won yesterday and nothing about what to do tomorrow. Google’s own documentation sketches a better chart: every query as a bubble, plotted by average position and CTR, sized by clicks, with the axis means drawn as reference lines. Four quadrants fall out, and each one is an instruction.

The four decisions

GOLD — low position, high CTR. Searchers who see your result click it; you just don’t rank high enough to be seen often. This is the highest-ROI bucket in the whole chart: the appeal problem is solved, only the ranking problem remains. Internal links, content depth, a handful of promotion pushes.

SNIPPET — high position, low CTR. You rank but the result doesn’t earn the click. Title rewrites, meta descriptions that state the payoff, structured data where it earns a richer result. The quadrant also estimates lost clicks — the gap between your CTR and the quadrant mean, times impressions — which turns copy fixes into a number a stakeholder can prioritize.

BURIED — low position, low CTR. The honest quadrant. Split it by whether the query has any clicks today: zero-click BURIED queries are usually someone else’s query — note them and move on. BURIED queries where a deeper page already gets clicks are winability candidates: the topic fits, the current page doesn’t.

STAR — high position, high CTR. Working. The only action is protective: watch the quadrant migration. When a query leaves STAR, the chart told you before the traffic report did.

Reading the axes honestly

Average position is a blended metric — a query can average 8 while bouncing between 3 and 20. Log-scaled axes keep the low-CTR pile readable, and deterministic jitter (not random scatter) keeps overlapping zero-CTR bubbles visible without faking their position. The chart is a triage instrument, not a dashboard: its output is four lists and one device-divergence table, and the lists go straight into the content calendar.

We automated the whole chart — quadrants, mean lines, lost-clicks estimates, period-over-period migration — in the Pro gsc_quadrants tool, because the method deserves better than manual CSV exports. But the method itself is Google’s, and it works with a spreadsheet if that’s what you have. The point is the discipline: stop ranking keywords by clicks, start classifying them by what kind of fix they need.

FAQ

What are GSC quadrants?

GSC quadrants is Google's own analysis method for Search Console data, published in its documentation as a bubble chart: every query plotted with average position on one axis and click-through rate on the other, bubble size showing clicks. The plot's mean lines split queries into four groups that each imply a different action.

What are the four quadrants?

GOLD (low position, high CTR): people who see you click — push rankings, highest ROI. SNIPPET (high position, low CTR): you rank but don't attract clicks — fix titles, meta descriptions, structured data. BURIED (low position, low CTR): relevance review — some queries deserve new content, some belong to other sites. STAR (high position, high CTR): working; protect and monitor.

Why use average position and CTR instead of just clicks?

Clicks conflate demand and performance: a mediocre query with huge volume can outclick a great query with little volume. Position vs CTR isolates performance — how visible you are versus how compelling your result is — which is what you can actually act on.

What does the device split reveal?

Running the chart per device exposes divergence: the same query can be STAR on desktop and BURIED on mobile, which usually means a mobile experience problem — layout, speed, or the mobile SERP showing different features — rather than a content problem.