AI visibility for web shops
From 'where do I best buy this' to 'which web shop is reliable': AI assistants give shopping advice, with source references. Anyone not in it loses the customer before the comparison begins.
Someone wants to buy a specific product and no longer asks Google 'best [product] 2026', but asks ChatGPT: which Dutch web shop is reliable for this and delivers fast? The assistant names two or three shops, with reviews and a comparison site as source. The customer clicks through to one of them. If you are not among them, the visit went to your competitor before you came into view.
The questions we measure for your industry
These are four from the starter set; in the app eight are ready for you and you add your own customer questions.
- →“What is a reliable web shop for this kind of product in the Netherlands?”
- →“Which web shops have fast delivery and free returns?”
- →“Where do I find the best value for money for this product?”
- →“Large marketplace or specialist online store, where do I buy better?”
Why this matters now
E-commerce feels the AI shift first: fewer clicks from search engines, more ready-made answers. Measuring which shops do get mentioned is the first step to getting in.
Every measurement puts such a question live to ChatGPT, Gemini and Claude, multiple times, because AI answers differ each time. You get percentages with a confidence interval and the sources that determine the answer; that is your worklist straight away.
The sources AI cites in your market
AI assistants do not invent their recommendations, they lean on sources. These are the types that typically appear in this industry; which ones count for you differs per assistant and you measure that in the app.
Review platforms (Trustpilot, Kiyoh, Google reviews)
Reliability is the core question in online buying; the number and score of your reviews weigh heavily in who an assistant recommends.
Comparison sites and marketplaces (Kieskeurig, bol, Tweakers)
Assistants often draw shop and price advice from these platforms; your presence and position there determine whether you are mentioned.
Product schema on your own shop
Correct Product, Offer and Review markup helps a model reliably take over price, stock and rating.
Three steps to start today
- 1
Measure your shop on the buying questions in your category, including the reliability and delivery variants customers actually type.
- 2
Check your profile and score on the review and comparison sites that feed the answers; that is where 'reliable' is decided.
- 3
Ensure valid product schema and readable pages without a JavaScript barrier, so crawlers can read your offering and reviews.
Frequently asked questions
We sell via bol and Amazon. Does that count?
Yes, and it is useful to know. The measurement shows whether assistants point to the marketplace or to your own shop; that difference determines whether you compete on price or on brand. You can track both separately.
Does this make sense alongside my existing SEO?
It complements it. AI answers replace part of the clicks you now get from search engines, and they lean on different sources (reviews, comparison sites) than your classic ranking. Measuring shows where that shift affects you.
Can I measure per product category?
Yes. You set your questions per category, so 'reliable web shop for [category A]' and '[category B]' are separate measurements with their own result and their own sources.
Want to try it first? Do the free AI check with one of these questions and see within twenty seconds whether you are mentioned. Or start right away: the wizard sets up the starter set for web shops and e-commerce automatically.
Is your industry just next to these? View all industries; the measurement works anywhere customers ask for recommendations.
Within a day you'll know whether AI mentions or ignores your brand
The first measurement runs on your own prompts, across three assistants, with real figures. No demo data, no sales call first.
Prefer to talk it over first? Book a call