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Why your average position can improve while your clicks fall

One query on this site sits at position 9.35 — page one — and drew 558 impressions and not a single click in three months. Ranking was never the constraint. What Search Console is actually counting explains it, and it changes what you fix first.

Ghalib Ashrafi Founder & Digital Strategist

·3 min read

A person working on a laptop, reviewing site performance

0clicks from 558 impressions at position 9.35 — page one

Four queries. Three months. One click between them.
seo agency north london 558impr 0clicks
seo expert in north london 504impr 0clicks
organic seo services london 765impr 0clicks
seo audit london 3,622impr 2clicks

Search Console export, Search type = Web, last 3 months, taken 13 August 2026. No country or page filter.

Minisode — why page one can still mean zero clicks

Read by a synthetic voice. The article is written by Ghalib Ashrafi. Where we use AI →

There is a report in Search Console that looks like good news and is not. Average position climbs, the line on the chart slopes the right way, and clicks stay flat or fall. It is one of the most common things we are asked to explain, and the answer is usually not that Google changed its mind about you.

This site is a worked example, so the numbers below are ours rather than a client’s.

A page-one query that produced nothing

Here are four rows straight out of our own three-month export, taken on 13 August 2026 with no country or page filter applied:

QueryImpressionsClicksAverage position
seo agency north london55809.35
seo expert in north london504013.05
organic seo services london765025.62
seo audit london3,622217.73

The first row is the one worth sitting with. Position 9.35 is page one. Five hundred and fifty-eight people were shown our result, and not one of them clicked it.

Across the whole property in that period: 8,356 impressions, 14 clicks, a click-through rate of 0.17%, and an average position of 39.8. Ranking was not the problem.

What “average position” is actually averaging

The number is not a rank. It is an average of the highest position your site held each time it appeared, weighted by how often it appeared. That weighting is where the confusion starts, because it means the figure can move without a single page changing rank.

Two ways that happens, both extremely ordinary:

  • You lose impressions at bad positions. A page that used to surface at position 60 for a long tail of queries stops surfacing. Nothing improved. The bad rows simply left the calculation, and the average rises.
  • You gain impressions at good positions on low-volume terms. A handful of new page-one appearances on queries almost nobody searches will pull the average up while contributing almost no clicks.

In both cases the chart slopes upward and the business sees nothing.

The question that separates the two

Stop looking at the average and sort your queries by impressions instead. Then ask one thing of the top twenty rows:

Is this query getting clicks in proportion to where it ranks?

A query at position 9 should not return zero clicks from 558 impressions. Something between the ranking and the reader is failing, and it is almost always what the result looks like in the results page rather than where it sits.

In our case it was the snippet

When we audited the old site before rebuilding it, we read all 24 pages that carried search traffic. Every one of them was missing its meta description. Not most — all twenty-four.

Those 24 pages carried 50,541 impressions over twelve months. Google was writing every single snippet itself, pulling whatever sentence it judged relevant out of the page. Sometimes that works. Often it produces a line of boilerplate, a fragment of navigation, or a sentence with no reason to click in it.

That is the shape of the problem a rising average position hides: the ranking work had already succeeded. The presentation had never been done.

How to check this on your own site

  1. Open Search Console → Performance → Queries, and set the range to three months.
  2. Turn on all four columns: clicks, impressions, CTR, position.
  3. Sort by impressions, not by position.
  4. Flag every row with a position under 15 and a CTR under 1%.
  5. For each one, search the query yourself and read your own result as a stranger would.

If the flagged rows have a title that repeats your brand three times, or a description Google invented, you have found it. That is a writing job, not a link-building job, and it is far faster.

If they look fine and still get no clicks, the answer is usually above you on the page — an AI Overview, a pack, or a set of ads pushing position 9 below the fold. That is a different problem and worth knowing you have.

Where these numbers come from

Every figure above is traceable to one of these. If something does not add up, it is a mistake and we want to know.

  • Per-query figuresdata/gsc-2026-08/queries.csv — Search Console export, Search type = Web, last 3 months, taken 13 August 2026. No country or page filter.
  • Property totals8,356 impressions, 14 clicks, 0.17% CTR, average position 39.8, same export and same period.
  • The 24 pages and their meta descriptionsdata/old-site-inventory.md — captured from the live site on 11 August 2026, page by page, before any of it was replaced.
  • The 50,541 figureThe sum of the 12-month impressions recorded against each of those 24 pages. Add the column up and you get the same number.

Questions people ask about this

No. It is an average of the highest position your site held each time it appeared, weighted by how often it appeared. A single page does not have one "average position" — the figure describes a set of impressions, so it moves when the mix of queries changes even if nothing you own has moved at all.
Usually the composition changed rather than the ranking. If you stop surfacing for a long tail of queries where you sat at position 50 or 60, those rows leave the calculation and the average rises. Nothing improved. The other common cause is new page-one appearances on terms almost nobody searches, which lift the average and deliver no clicks.
It is common but it is not normal, and it is worth investigating. On this site one query sat at position 9.35 and produced 558 impressions with no clicks at all over three months. At that position something between the ranking and the reader is failing — most often the title and description, sometimes an AI Overview or an ad block pushing the result below the fold.
It removes one cause, but nobody can promise it fixes the number. Google rewrites descriptions when it judges a different snippet more relevant to the query, so a written description is a strong suggestion rather than a guarantee. What it does prevent is the situation we found on our own old site, where all 24 pages had none at all and every snippet was assembled by Google from whatever it found.
By impressions, not by position. Then flag any row with a position under 15 and a click-through rate under 1%. Sorting by position hides the problem, because the rows that matter are the ones with volume behind them.

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