« Comment surveiller la pression d'huile sur une BMW E30 ? »
Sources read by the AI
- 6enligne.net
- reddit.com
- youtube.com
- mecatechnic.com
- cyl6.com
Four of the five sources are community spaces. Only one is a shop.
E-commerce
A buyer asking "where can I buy this" no longer gets ten links, they get three names. We measured two complete e-commerce markets — and they behave nothing alike.
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The study 1/2
40 buyer questions put to 3 AI assistants, three times each — 360 answers analysed on a real e-commerce market. We counted every brand named in the body of the answers, not just the sites read as sources.
The best-placed site in this market is named in just 8.1% of answers. The runner-up, 7.5%. In other words: no store is established in AI answers on this market. The ground is open — for now.
« Comment surveiller la pression d'huile sur une BMW E30 ? »
Sources read by the AI
Four of the five sources are community spaces. Only one is a shop.
« Kit jauge température d'huile pour BMW E28 ou E34, quelles marques existent ? »
Sources read by the AI
Four manufacturers cited, three of them foreign. No French reseller in the answer.
« Où acheter des pièces détachées rares pour BMW E30 en France ? »
Sources read by the AI
Six online stores for a single question. Across the 360 answers, none exceeds 8%.
The study 2/2
10 buyer questions put to the same 3 assistants, three times each — 90 answers, in French, English and Spanish. Same method as above, radically different market.
One roaster is named in 31% of answers — four times the leader of the previous market. Same method, same sector, inverted structure: here the ground is taken, and it has to be fought for.
« Où acheter du café de spécialité en ligne en France ? »
Sources read by the AI
Four shops out of five sources. Here the AI reads merchants, not forums.
« Where can I buy Colombian specialty coffee online in Europe? »
Sources read by the AI
Five European roasters, not one French. Asking in English changes the whole ranking.
« Quelles marques de café achètent vraiment en direct aux producteurs ? »
Sources read by the AI
On the ethics question, the brands' own websites are what counts.
The contrast between our two measurements is the most useful result on this page — and it rules out any one-size-fits-all recipe.
In spare parts, AIs read communities. Specialist forums, Reddit threads, video channels: four community sources for every shop. No merchant exceeds 8% of mentions there. The ground is open, and it is won by existing where the conversation happens.
In coffee, AIs read the merchants themselves. Roasters' own sites dominate the sources, only one forum appears, and a single player holds 31% of mentions. The ground is taken: it has to be fought for, by working on what makes a site quotable — a sharp speciality, verifiable claims, an identity a writer can sum up in one sentence.
A third lesson, visible in both markets: asking the question in English changes the entire ranking. If you sell beyond your home country, measuring in one language only gives you a false picture of where you stand.
Being named in an answer doesn't mean the AI actually read your site properly. An agent that has to recommend a place to buy — not just cite a brand — needs unambiguous information: current price, real availability, delivery time, return conditions. That information has to exist in a format a machine can read directly, not just inside an image or a description paragraph.
Structured data (schema.org Product and Offer) on every page
An explicit price and currency
An up-to-date stock status
Pages that aren't blocked to the crawlers reading on an assistant's behalf
A page that's ambiguous on those points isn't bumped to second choice — it's simply dropped in favour of a source that answers more cleanly, often a marketplace whose entire job is aggregating exactly that information.
Checked on 500 real French e-commerce sites, 452 reachable for analysis:
82%
have no usable schema.org Product or Offer data at all
14%
publish a complete page — price, currency and stock a machine can read
Many of these sites rank well on Google. It's a blind spot no standard SEO audit covers, because it isn't what Google looks at first — but it's exactly what a purchase agent looks at before recommending you. In practice, these sites drop out of the answer the moment a buyer asks a precise question, replaced by a competitor whose page answers unambiguously, or by a marketplace that aggregates exactly that information.
How we measure
No question contains your name. That is the condition for the result to mean anything: we look at whether the AI mentions you spontaneously, not whether it can describe you when prompted to.
Discovery, comparison, best choice, alternative to a competitor, local search, purchase decision: the 40 questions cover the intents a buyer actually moves through. They are written from your business, your site and your area — never generic, never recycled from one client to the next.
Perplexity, ChatGPT and Claude, with web search enabled. Each question is asked three times, because an AI never answers the same way twice: a single measurement proves nothing.
We count your citations, your recommendations, where they sit in the answer, and every domain the AIs went to read to form an opinion.
The assistants we query
Three engines, all with web search enabled — under the real conditions in which your buyers use them.
Sonar
Built-in web search. The most source-driven engine of the three.
GPT, consumer model
The model actually served inside ChatGPT, not an API variant.
Sonnet 4.5
Native web search, long and highly structured answers.
A report you read in fifteen minutes and turn into decisions.
Out of 360 answers, how often your site is a source the AI actually read. Broken down per assistant.
How often your brand is named in the answer, and in which position — being cited first is not worth the same as being cited last.
A ranking of the brands AIs recommend instead of you. Not the ones you think you have: the ones the data points to.
The domains cited most often in your market — forums, comparison sites, trade media. That is where your presence is decided.
The question-by-question detail, so you can see exactly which topics you do not exist on.
The three or four levers your data points to: which domains to get cited on, which topics you are absent from, what is holding your site back. Derived from the measurement, not from general principles.
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Where you stand today.
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Would you rather the fixes were made for you? Reply to your report and we will talk it through. Quoted case by case, from what your own figures point to.
Five fields. They are what we use to write your 40 questions — the more precise you are, the more accurate the audit.
"Where to stay near Mont-Saint-Michel" is exactly the kind of question people no longer put to Google. We measured what the AIs answer, across 90 real queries.
"Which campsite for a stay in Normandy" is exactly the kind of question people now put to an AI rather than to a search engine. We measured what it answers.
The method, the numbers and the price, without an industry angle.