AI Shopping
Whether your products are recommended when a shopper asks an AI assistant. Two surfaces, product-level rather than brand-level, with honest denominators.
AI Shopping answers a different question from AI Visibility: not "is our brand named" but "do our products get recommended". It asks shopping prompts on two consumer shopping surfaces, records which product cards were shown, and matches them against the products you monitor.
It is product-level, and that is why it is its own section rather than a fold of AI Visibility. Every AI-visibility item is brand-level; this is a table of products with its own monitored set, its own cadence, its own allowance and its own competitor set.
Switching AI Shopping on
AI Shopping is a module you switch on for each Website that sells online, in Settings → Modules. A Website that does not sell products keeps a sidebar without it, and a store gets the whole section with one switch. RankX AI also switches it on for you when it recognises a store: a connected Shopify store, a WordPress site running WooCommerce, or a store the site audit identifies. Once it is on, the section, its settings and its schedule all appear.
The five screens
| Screen | The question it answers |
|---|---|
| Shopping Overview | Do our products appear at all, per surface |
| Shopping Questions | For each shopper question: every check, what each answer showed, which merchants took the slots and which slot our product sat in |
| Products | Which of our products appear, on which questions |
| Merchants | Whose products appear instead of ours, and each merchant's share of the offers |
| Ads | Where advertising is observable, and where it is not |
Each shopping question can be checked again on demand, and the shopping tables download as CSV files that state the window they cover.
Two surfaces, and they are not equivalent
RankX AI observes ChatGPT Shopping and Google AI Mode. They differ in ways that change what a number means, and shopping surfaces sets out the detail. The one difference to carry everywhere: only one of the two exposes whether a result was an advertisement. A zero in the ads column on the other surface means "not observable here", never "no advertisers here".
Shopping prompts are a separate allowance
A shopping prompt is a shopper's question, and it is a different object from an AI-visibility prompt:
| AI visibility prompt | AI Shopping prompt | |
|---|---|---|
| Asked on | The six AI assistants | The two shopping surfaces |
| Measures | Whether your brand is named | Whether your products are recommended |
| Charged | Per prompt, per assistant, per run | Per prompt, per surface, per run |
| Plan allowance | Its own cap | Its own separate cap |
The two allowances do not draw on each other. Using all your AI-visibility prompts does not reduce what you can track here. Figures are in plans and limits.
The denominators, which decide what every figure means
Shopping visibility divides by answers that showed products at all, not by checks run. An answer that returned no product carousel has no opinion about your products, so counting it against you would be inventing a loss.
Every check therefore falls into one of several states, and the screens keep them apart:
- Checks run, the total.
- Checks that produced an answer.
- Checks that showed products, which is the denominator.
- Checks that could not run.
- Answers that included your products, which is the numerator.
A blank visibility figure means nothing showed a carousel in the window, so there is no denominator. It is never rendered as zero. See null is not zero.
The products you monitor
AI Shopping watches for the products you choose for each Website, up to your plan's allowance of ten per shopping prompt. You add them by searching your connected Shopify or WooCommerce store, by accepting a suggestion built from products your store has already been seen selling in an answer, or by uploading a product file, and RankX AI refreshes the set against your store every night.
Matching works by comparing the product cards a surface showed against that set, so monitor the products a shopper could be recommended on your tracked questions. See products monitored.
A finding can be acted on. For a monitored product, RankX AI proposes new listing copy, shows it beside your current words, and writes it to a connected store only when you approve it. The product page describes it in full.
Cadence and cost
Shopping checks are charged per shopping prompt, per surface, per run, so your bill is:
shopping prompts x 2 surfaces x runs per month
The cadence floor is your plan's, or 7 days while on trial, whichever is slower, on the same basis as every other check family.
Prices are on the credit cost reference.
Where to go next
- The AI Shopping feature page, for what RankX AI measured on the surfaces before it built the feature, what the allowance is on every plan and who it is for, in one place.
- Shopping surfaces, for what each surface can and cannot tell you.
- Products monitored, for choosing products and acting on a finding.
- Merchants, for who wins the slots you do not.
- Ads, and the zero that means "not observable".
Last updated
AI Overview Citations
The domains and pages Google's AI Overviews cited for your tracked keywords, ranked by how often. What it is good for, and how to read it.
Shopping surfaces
The two AI shopping surfaces RankX AI observes, how they differ in what they expose, and the one difference that changes how every ads figure must be read.