How to Measure Your Generative Engine Optimisation Performance
How to tell whether your GEO work is paying off when the old metrics no longer apply. A plain guide to the handful of measures that matter in AI search, what share of model means plus a simple monthly method any business can run without expensive tools.
You measure GEO performance by tracking how often and how accurately AI engines name your business for the questions your customers ask. Clicks plus rankings no longer tell the whole story, because so many AI answers end without a click. Instead you watch a small set of measures: your share of model, how often you are cited or mentioned, the sentiment of those mentions plus any traffic AI tools send you. Test a fixed set of prompts across ChatGPT, Gemini plus Perplexity each month, then watch the trend rather than any single number.
Clicks and rankings no longer tell the story
If most AI answers never produce a click, then counting visits captures less than half of what is happening. A business can be named in the answer a customer reads plus get no visit at all, so traffic alone hides the real picture.
The shift is from position to presence
In traditional SEO you measured position: where you ranked. In AI search you measure presence: whether you appear in the answer at all plus how you are described. That is a different question, so it needs different measures.
Getting those measures right is part of the reporting we build into our Generative Engine Optimisation Agency service, because work you cannot measure is work you cannot improve.
Five GEO metrics worth tracking
Five measures cover most of what a business needs. None requires expensive software to start.
| Metric | What it measures | How to track it |
|---|---|---|
| Share of model | How often you appear across your tracked prompts | Test a fixed prompt set monthly plus count appearances |
| Citation rate | How often you are used as a cited source | Record answers that cite you, with or without a link |
| Mention rate | How often your brand is named in the answer | Note appearances even when no link is given |
| Sentiment | How positively the AI describes you | Score each mention positive, neutral or negative |
| AI referral traffic | Visits arriving from AI tools | Set up a GA4 channel for chatgpt.com plus the rest |
Share of model, in plain terms
What share of model is
Share of model is the AI version of market share. You define a set of questions your customers actually ask, then measure how often your business appears in the answers. If you appear in eight of ten tracked prompts, your share of model is 80 per cent. It is the single clearest measure of whether AI search sees you.
The trend beats the absolute number
A snapshot is less useful than a direction. Three consecutive months of rising share of model tells you the work is landing. A flat or falling number after months of effort tells you something needs to change. Watch the trend, not just today’s figure.
A worked share of model example
Test the same 20 customer questions in each engine, then record how often you are named. The result is your share of model per engine.
Pick the prompts, then repeat monthly
Choose around 20 buyer-intent prompts
List the real questions a customer would ask before choosing a business like yours, phrased naturally. Around twenty is enough to start. These are your golden prompts, plus they matter more than any keyword list because they mirror how people actually ask an AI.
Test them across the engines each month
Run the same prompts through ChatGPT, Gemini plus Perplexity once a month plus record whether you are named, cited or ignored, plus whether the details are right. It takes under an hour plus needs no paid tools to begin.
Watch the trend, then connect it to leads
Track your share of model over time, then tie it to enquiries. Adding a simple how did you hear about us question to your contact form is a cheap way to see whether rising AI visibility is turning into real business.
Want to know if your AI visibility is improving?
Our Generative Engine Optimisation Agency service tracks your share of model, citations plus sentiment across ChatGPT, Gemini plus Perplexity, then reports the trend in plain terms. See exactly what is included plus how we connect AI visibility to real enquiries.
Generative Engine Optimisation Guides
This article sits inside our complete GEO hub: a connected set of guides covering how AI search works, how each engine chooses businesses plus what a GEO strategy should include.
Measurement makes sense alongside the work it measures, which is why our Generative Engine Optimisation Guides hub sets them together. It indexes every question a business owner tends to ask before, during plus after starting GEO, from how each engine picks businesses through to cost, timescales plus what a proper service should include. Working through it in order is the quickest way to see how measurement fits the plan.
Where to go from here
To build on this, these reads help. GEO Results sets out what good performance actually looks like. GEO Strategy shows the work the measurement is checking. AI Search and Website Traffic explains why clicks alone no longer capture your visibility.