SectorsAI findability for online stores
AI findability for online stores
Your products are in Google Shopping. In the answer a buyer asks ChatGPT for, they are nowhere.
What it usually gets called:Findable in ChatGPT, AI Overviews, zero-click, GEO
The question
Why does ChatGPT send buyers to other online stores than yours?
Because an AI answer does not come out of your product feed. It is a summary of pages the model trusts at that moment: comparison sites, roundups, trade press, and what people tell each other on forums. Your feed serves Google Shopping, which is a separate channel with its own logic. Whoever is missing from the sources behind the answer is missing from the answer, however complete and however current that feed is.
For an online store that coincides with the orientation phase. The buyer who used to open ten tabs now asks one question and gets a short list back. Whoever is on that list gets a visit, the rest do not. The product page that is not on it has not become worse. It is simply no longer where the choice is made, and the first list now is.
The pattern · 28 August 2026
Where those names come from
We counted where answers like that get their sources. After the pages of agencies, comparison sites and tooling made up the largest group: sites that put suppliers side by side, often with an interest of their own in the outcome. For an online store that is the familiar part: these are the same kinds of sites that already sat between you and the buyer in Google.
244 mentions · 47 sites
76 mentions · 15 sites
50 mentions · 4 sites
This breakdown comes from our own measuring round on the market for AI findability, not from a measurement in this sector. No per-industry breakdown exists; what it shows is how an AI answer gets assembled, not what comes out in your market.
How we measure it
One number, and what it consists of
We summarise the outcome in one number, the TAZM score: which share of its own search market a company owns, on a scale of 0 to 100. It is the average of four components, of which only the ones actually measured count, and every number carries its numerator, its denominator and its measuring date.
The limit
What we do not promise here
We do not promise you a place in an AI answer, and no revenue from an AI channel. Neither can be guaranteed by anyone. What is settled is the measurement: the same questions, the same platforms, the same measuring date, every round again. We publish a disappointing outcome just as readily as a good one, and that goes for yours too.
Concrete
A buyer asking what a good choice is in your category, and getting three stores back that do not include yours
The second layer: the systems behind it
Findability brings the buyer in. What goes wrong after that usually sits in the connections between systems.
Product data lives in several places at once: in the system that tracks stock, in the store itself, and in the feeds going out to the channels beyond it. As long as somebody keeps them aligned by hand, they drift apart at exactly the busiest moment, and the customer finds out before you do.
What a system takes over here is the aligning itself. Stock levels that carry through to every channel instead of being updated per channel. Product attributes maintained in one place. And a signal the moment two sources contradict each other, rather than an order that cannot be fulfilled.
That is the same way we build everything else: open source, on infrastructure registered in your name, with the data in Europe.
Common questions
- Our product feed is complete. Why does that not work for AI?
- Because the feed serves a different channel. Google Shopping reads your feed; an AI assistant assembles its answer from pages it trusts, and those are usually not the product pages themselves. The feed stays necessary, but it does not reach the place where the answer is put together.
- What exactly do you measure for an online store?
- The same yardstick as for any other company: a settled list of searches and questions the way a buyer asks them, put to Google and to four AI platforms, with a record of what came back. That list is fixed before the first measurement and is not narrowed afterwards, so a second round can be compared with the first.
- Can you guarantee our products will appear in AI answers?
- No, and neither can anyone else. What we record is where you stand and what moves, with numerator, denominator and measuring date alongside. That is a promise about measurement and not about results, and the distinction is deliberate.
AI findability for online stores: where do you stand today?
Measure first, choose after. The AI Findability Scan records your findability map and your TAZM score, with numerator, denominator and measuring date. The scan page itself is in Dutch.