Measuring GEO
Your GEO tracker is not measuring what you think it is
Written by Ghizlene Mejdi, Founder & GEO Project Manager · Last updated: July 2026 · 8 min read
Published 17 July 2026 · Based on June 2026 field data · Last reviewed 17 July 2026
For two years the GEO industry has sold a number it cannot actually measure. Every tool in the category, ours included, reports something that looks like a citation count. Buyers read it as volume. It is not volume. It never was.
In late May 2026, Google started reporting AI surface data inside Search Console. For the first time, a site owner can see first party impression counts for AI Overviews, AI Mode and generative surfaces in Discover. Not an estimate. Not a sampled panel. Google's own log of when it put your page inside an AI answer.
We had that data land on an account we had already been tracking with a synthetic prompt panel for eight months. Same site, same month, two instruments. What came back is worth publishing, because it changes how the number on your dashboard should be read.
Prompt panel vs Google Search Console: what each one actually measures
This is the part the category glosses over, so it is worth being slow about.
Tracked prompt panel
Controlled experiment- A fixed set of prompts, run on a schedule against several assistants
- Counts appearances across those runs
- You choose the prompts, so you choose what gets measured
- Stable and comparable month over month
- Sees competitors, because you can ask the same prompt about anyone
Google Search Console AI data
Partial census- Every real query where your page surfaced in a Google AI surface
- Counts impressions, not appearances or positions
- You choose nothing, it is whatever real users asked
- Google AI only: no ChatGPT, no Claude, no Perplexity
- Sees no competitors at all
An experiment and a census answer different questions. The experiment answers "when this specific question is asked, who gets named". The census answers "how often did we actually show up". Both are useful. Neither substitutes for the other, and dividing one by the other produces a meaningless ratio.
The account: one B2B software vendor, two instruments
A B2B software vendor, anonymised. Long sales cycle, technical buyers, a category where four or five vendors get compared constantly. We have run an AI visibility program on it since late 2025 and tracked it in PromptWatch throughout.
15,088
Google AI impressions, June 2026, first full month of first party data
32.3%
Domain citation share in the tracked panel, organic prompts, June
198
Distinct pages surfacing in Google AI surfaces
Read those three numbers again. They do not combine. There is no arithmetic that turns 32.3% into 15,088, because one is a share of a controlled prompt set and the other is a count of real impressions. That is the entire point.
What Google's first party AI data shows that a prompt panel cannot

Google's data starts at 18 May 2026. The series so far:
Search Console, AI Overviews and AI Mode, single property
Source: Google Search Console, 18 May to 11 July 2026. Impressions only: Google reports no click or session data for these surfaces. May and July are partial windows and are not comparable to June. The July pace, 7,833 in eleven days, tracks slightly ahead of June.
Before this data existed, the best available proxy for the same surface was a third party estimate: roughly 45 AI Overview appearances for this domain. That estimate was not wrong either, and this is the trap. An appearance is a position in an AI Overview. An impression is one instance of that overview being shown to someone. Forty-five appearances can produce tens of thousands of impressions, because a single appearance on a query with volume gets served over and over.
What the census does reveal is concentration. Of 198 pages surfacing in Google AI, the top two account for over half of all impressions:
June 2026 window, anonymised paths
| Page | Impressions | Share |
|---|---|---|
| Explainer: "what is [core category term]" | 4,271 | 16.9% |
| Explainer: "what is [adjacent term]" | 4,190 | 16.6% |
| Homepage | 2,268 | 9.0% |
| Comparison: "[A] vs [B]" | 1,922 | 7.6% |
| Explainer: liquidity fragmentation | 1,749 | 6.9% |
| Regulatory explainer | 1,366 | 5.4% |
| Product page (first to appear) | 1,074 | 4.3% |
Percentages are of the 25,239 impressions across the full 18 May to 11 July window. Six of the seven highest surfacing pages are explainers and comparisons. The first product page appears seventh.
That table is a strategy document. Six of the seven pages Google puts inside AI answers are explainers and comparisons. The first commercial product page ranks seventh. If you had been optimising product pages for AI visibility on this account, the census just told you that you were working on the wrong pages, and no prompt panel would have told you that, because the panel only sees the prompts you thought to write.
What a prompt panel shows that Google Search Console cannot
Now flip it. Here is the same account, same month, in the tracked panel:
June 2026 versus May, organic plus competitor prompt set, all assistants
Source: PromptWatch tracked prompt panel, June 2026, deltas versus May. Synthetic signal: a fixed prompt set run on a schedule, not real user traffic. Competitors anonymised. Against a 90 day average of 18.7%, the June reading of 22.2% is a genuine move, not noise.
Google's census cannot produce this chart. It has no idea who else was named in the answer, because Search Console only reports on your property. It also cannot see ChatGPT, Claude or Perplexity at all, which on this account carry most of the assistant referral traffic.
The panel can. And when it moved 6.1 points in a month against a stable 90 day baseline, that movement was real and attributable, because the prompt set did not change. That is what a controlled experiment buys you.
How to measure AI visibility: three instruments, three jobs
Three instruments, three jobs, no substitutions:
| Instrument | Answers | Cannot answer |
|---|---|---|
| Tracked prompt panel | How we compare to competitors on the questions our buyers ask | Real impression volume in production |
| GSC AI data | How often did Google put us in an AI answer, and on which pages? | Anything outside Google. Competitors. |
| Server logs + GA4 | Which bots crawl us, and do assistant referrals convert? | Whether we were cited without a click |
Assistant referral traffic on this account runs in the low hundreds of sessions per quarter. In a zero click environment, most citations never produce a visit at all, which is exactly why referral data cannot be your visibility metric either.
The uncomfortable consequence: there is no single number for AI visibility, and any tool that gives you one is giving you an artefact of its own configuration. We sell GEO. We would rather sell one clean number. It does not exist.
What to do with this: four actions
- Turn on the GSC AI surface report today. It is free, first party, and it is the only census you have. If your reporting still runs on a third party AI Overview estimate, replace it.
- Read your panel as shares and trends only. If your agency reports a citation count as a headline KPI, ask them how many prompts are tracked and how often they run. The count moves when that config moves.
- Let the census pick your content targets. Six of seven top surfacing pages on this account were explainers. That was not the plan going in. It is the plan now.
- Never divide one instrument by the other. Different units, meaningless ratio.
We told this client, in writing, in their June report, that our own tracked panel captures only a slice of real citation activity and that its absolute counts sit far below citation reality. It is an awkward thing to put in a deliverable you are being paid for. It is also the only defensible position once the census exists, and we would rather say it before someone else says it for us. See our monthly Run program or book a GEO Audit call.
Frequently asked questions
Does this mean prompt tracking tools are useless?+
No. They are controlled experiments, not counters. A tracked panel detected a 6.1 point share gain against a stable baseline on this account. Google's first party data cannot see competitors or non Google assistants at all, so dropping the panel means losing the competitive read entirely.
Why not compare a prompt tracker's citation count to Google's AI impressions?+
Because they are different units measured on different populations. A panel counts appearances across a prompt set you selected, across assistants including ChatGPT, Claude and Perplexity. Google counts impressions on real queries inside Google AI surfaces only. Any ratio between the two is an artefact of configuration.
Where do I find Google AI surface data?+
In Google Search Console's Performance report. Google began populating AI surface data around the end of May 2026. It reports impressions only, with no click or session data, and covers AI Overviews, AI Mode and generative AI in Google Discover.
Is 15,088 AI impressions in a month a good result?+
The question is unanswerable without a denominator, and Google publishes none. There is no established benchmark for AI impression volume by sector or site size as of 2026. It should be used as an internal baseline and tracked as a trend.
