What is AI visibility?

AI visibility is how a brand shows up in the answers AI assistants produce. It covers three separate things: whether the brand appears at all, where in the answer it is named, and in what context — recommended, listed as a passing example, or mentioned with a caveat.

This is not a new marketing channel. It is the measurement of something already happening. When your customer asks an assistant what to buy in your category, an answer is already being produced. The only question is whether you can see it.

A search engine returns ten blue links and lets you choose. An assistant composes a single answer: it names three or five brands and never mentions the rest. The cost of being left out is far higher here, because there is no second page.

The second difference is repeatability. Type the same keyword into Google twice and you get the same results. Ask an assistant the same question twice and the answer can change. That is why AI visibility cannot be understood from a single query — only from repeated measurement.

The third difference is sourcing. The assistant's answer does not have to come from your site. It can come from a forum thread, a comparison article, or the general sentiment in the model's training data. Optimising your own site perfectly does not guarantee that an assistant will name you.

Several terms describe the same territory. GEO (Generative Engine Optimization) refers to visibility in generative engines, AEO (Answer Engine Optimization) to answer engines, and "AI Search" to the search-enabled surfaces of assistants.

In practice they all ask the same question: does a model name you when it composes an answer? Gekopilot takes no side in the naming debate. What it measures is the answer itself.

Reading an answer and calling it "good" is not measurement. The same four signals are extracted from every answer and each is recorded separately:

Mention

Does the brand appear in the answer at all? The base signal — without it, nothing else has anything to describe.

Recommendation

Being mentioned is not enough. Is the brand recommended, or merely listed as an example? These are not worth the same.

Position

Where in the answer the brand is named. Being first and being fifth do not have the same effect.

Misinformation

Is the assistant saying something untrue about the brand? Independent of visibility, and usually more urgent.

The four assistants run on different models, different training data and different search connections. They do not name the same brands for the same question — and that disagreement is not noise, it is the information worth having.

A brand that is strong in one assistant and absent from the others is a common pattern. Looking at a single assistant hides that split entirely. This is why Gekopilot puts the same question set to all four and reports each one separately.

AI visibility is not a fixed score. It moves for at least four reasons: model versions are updated, the assistant's search connection surfaces different sources, what is written about your competitors changes, and the model's answer to the same question is variable by nature.

A one-off measurement is therefore a starting point, not a verdict. Direction only becomes visible through repeated measurement.

Measurement is done without naming your brand. Questions are built around the category and around purchase intent, the way a real customer would ask. If an assistant is asked "is Gekopilot any good", it will of course talk about Gekopilot; that would be an echo, not a measurement.

Every question is put to every assistant separately and the full answer is stored. Every figure we publish is derived from those stored answers and can be checked again later.

The score formula, the category and assistant weights, the confidence levels and the known limits of the measurement are written out on a separate page. Full methodology.

There are three tiers, and they differ in scope: how many questions, how many assistants, how many measurements.

Gekopilot is a measurement tool. Nobody can guarantee where you will appear in an assistant's answer, and we do not. How these models compose answers is not under our control.

In our reports, measured findings and interpretation carry separate badges. Where we cannot show evidence, we do not assert a cause. The only thing a measurement tool can honestly sell is honest measurement.

This page defines the concept. The pages below are the concrete version of it: the two situations we see most often in measurements, and what can be done about each.

• My competitor appears in AI answers — why doesn't my brand?

• How it works
• Full methodology
• Research publications
• Run a free scan