How to judge whether your SEO is actually working

The steering wheel and dials of a vintage car

Most businesses paying for SEO share a quiet anxiety: they are not entirely sure how they would know if it stopped working, or never started. The reports arrive, the charts point encouragingly upward, and the feeling persists. This article is the plain-English answer: what to measure, in what order, the traps that make good work look bad and bad work look good, and a five-minute self-check you can run without anyone’s permission.

The chain, and why order matters

Search performance is a chain with four links, and they move in sequence.

Positions move first: where you rank for the searches that matter commercially. Note the qualifier, because it does the work: positions for terms your buyers actually use, not positions in general. This is the link the underlying work touches directly, so it is where honest progress appears earliest.

Impressions follow: how often you are seen. As positions rise into territory people actually look at, the times your business appears in front of a searcher multiply. Impressions are the proof that position movement is happening on searches with real volume behind them, which is why a positions-only report can flatter and an impressions line keeps it honest.

Clicks come next: how often being seen becomes a visit. Clicks concentrate brutally at the top of results, which produces the pattern that confuses more businesses than any other: a site moving from page four to page two is making real, measurable progress that produces almost no clicks yet, because the clicks live on page one. That is not failure; it is the mechanism, visibly working.

Enquiries come last: how often a visit becomes business. This is the only link the business actually wanted, and the one everything upstream exists to feed. It is also the link SEO shares with the website itself: traffic arriving at a page that does not convert is the chain working and the site breaking, which is a different diagnosis with a different fix.

Judge each stage of work by the link it can actually move, and insist your reporting shows the whole chain, not just the flattering end of it.

The new trap: visibility without clicks is no longer failure

Here is the measurement change of the last two years, and it matters enormously. AI answers now sit on a large share of searches, and when they appear, far fewer people click any result. Pew Research Center’s tracking of nearly seventy thousand real searches put it at 8% clicking with an AI summary present against 15% without, a shift documented across every major study and visible in our own client data: one of our accounts grew impressions 41% and improved five positions while clicks fell 21%.

Ten years ago, impressions up and clicks flat meant something was wrong. Today it often means your content is being read inside the answers, influence arriving without a visit, and the research adds a commercial edge: Seer Interactive found brands cited inside AI answers earn 35% more of the clicks that remain than brands that are not. So add a fifth question to your reporting: when the machines answer your buyers’ questions, are you the business they cite? It is a checkable fact, the answer names you or it does not, and if your agency cannot answer it, the report is measuring the last decade.

The traps in both directions

Traps that make good work look bad: judging by clicks in month two, when the movement is still at the front of the chain; measuring against last month instead of last year in a seasonal business, which turns every quiet season into a false alarm; counting all traffic instead of the commercial searches the work actually targets, so that losing worthless visits reads as decline; and the decoupling above, where machine-read visibility gets scored as if it were invisibility.

Traps that make bad work look good: ranking reports full of terms nobody commercial searches, position one for a phrase with no buyers behind it; traffic growth that never touches enquiries, volume without value; “impressions are up” with no position or citation evidence behind it, which can simply mean appearing lower on more irrelevant searches; and any report you cannot understand, because opacity is where weak work hides. A report you cannot explain to your own team is not a report; it is an invoice’s bodyguard.

What a good report actually contains

Having read a lot of the market’s reporting while researching our own, here is the plain checklist. The whole chain, positions to enquiries, for the agreed commercial terms. Year-on-year context, not just month-on-month. The AI-citation question answered, engine by engine, for your key buyer questions. What was actually done in the period, in sentences a non-specialist can follow. What has not moved yet, said plainly, with the reason and the plan. And nothing you would need a glossary for. The last two items are the credibility test: honest work is comfortable naming what is still in progress, because the chain makes lag an expected feature rather than a confession.

The honest timeline question

How long should it take? The honest answer is that it depends on your starting point, your market and the work’s scope, and a credible agency will set that expectation with you at the start, against a plan, so progress is judged against something you agreed rather than something you hoped. What the credible end of the industry agrees on, and says out loud, is the other half: real search results build over months and compound over years, and anyone promising the top of Google in weeks has told you everything you need to know about them.

The five-minute self-check

You can run this today, without anyone’s permission:

  1. Open your own Search Console and look at positions and impressions for your money terms over twelve months, not thirty days.
  2. Check the chain’s hand-offs. Where positions have reached page one, are clicks following? Where clicks are arriving, are enquiries?
  3. Ask an AI assistant your buyers’ question, phrased the way a buyer would ask it, and see if you are named.
  4. Compare against a year ago, not last month, especially if your business breathes with the seasons.
  5. Then ask the deciding question: would your current reporting have told you any of this? If not, the problem may not be the work; it may be that nobody is measuring it in a way that would catch either success or failure.

Get the honest read

If you would like the reading done for you, we will read it honestly: the free audit covers exactly this, where you stand on the whole chain and what we would fix first, reviewed by a person, with you within a working day.

Questions answered

What is the single best number to watch?

There is no single number, and that is the honest answer; the chain is the point. If forced to pick a pairing: impressions for your commercial terms, because it shows the visibility engine working, and enquiries, because it is why you are paying. Any one number alone can be gamed or misread; the pair is hard to fake in both directions at once.

Our rankings are fine but traffic is falling. Is the work failing?

Check the decoupling pattern before concluding anything: stable positions with rising impressions and softer clicks is the documented signature of AI answers absorbing informational searches, not of failing work. If enquiries are holding, your visibility has partly moved into the answers. If positions, impressions and enquiries are all falling together, that is a genuine problem worth diagnosing properly.

Should we expect a guarantee of results?

No, and treat one as a warning. Nobody controls Google, the credible end of the industry says so openly, and a guarantee of specific positions is a promise about a system the promiser does not run. What you can reasonably expect is the honest version: agreed terms, benchmarked starting points, the whole chain reported plainly, and expectations set against a plan you shaped together.

Sources

  • Pew Research Center (68,879 tracked searches (July 2025))
  • Seer Interactive (AIO impact on Google CTR, September 2025 update)
  • Proud Brands sixteen-month client dataset (2026)

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