Shopping Insights shows which products AI assistants put in front of shoppers when they answer your tracked shopping prompts: your products, your competitors' products, the merchants selling them, and the prices and ratings attached. We built it into the Analytics area of the new Opttab, the Agentic Journey OS for brands and agencies, and it is included on every plan. You don't need a product feed to see any of it. A feed comes in when you want to fix what holds your products back.
Why we built Shopping Insights
When an assistant answers a shopping question, it often answers with product cards: an image, a price, a star rating and a link to a store. That short row is the AI shopping shelf. A product that isn't on it isn't part of the answer.
A brand-level visibility score can't tell you which of your products made the shelf, at what price, or which retailer got the link. We wanted that view product by product, so we built one. Shopping Insights sits in Visibility, the second of our four pillars (Discoverability, Visibility, Optimization, Agentic Commerce), and reads the shelf from the same tracked prompts that power Answer Engine Analytics. We send those prompts ourselves. We never see real shoppers' private conversations with ChatGPT or any other assistant.
Where to find it
Open Analytics in the main navigation and pick Shopping Insights from the sub-navigation, next to Answer Engine Analytics and Website Analytics. Five tabs run across the top: Overview, Products, Brands & Merchants, Prompts & Responses and Improvements. The header also carries a Product Feed button and a Learn button.
Every tab shares one filter bar: a date range, Topics, Platforms, a filter icon and Export. The views fill from your tracked prompts for the period you choose, so a wider range or a single topic changes what you see.
Overview: the products AI answers show
Overview opens with Popular products, a carousel of product cards taken from the AI answers. Each card shows the product image, how many times it was mentioned, the brand, the product name, the price, the star rating and a link to the merchant page the answer pointed to.
The Overview tab. Each product card carries its mention count, brand, price, rating and the merchant link the answer used, and Shopping Highlights names the top product, brand and merchant for the period.
Under the carousel, Shopping Highlights answers three questions at a glance. Top Product is the product that appeared most in the responses. Top Brand is the brand with the most products in the responses. Top Merchant is the merchant that appeared most, counted in product appearances.
Further down sit two more panels. Product Visibility has a toggle between a percentage and a Products count out of the total, and the Product Leaderboard ranks products against each other. The Products tab, next to Overview, is part of the same module. Because each card carries a price, Overview is also where we check price position: put your own price next to the products the answers chose.
Brands & Merchants: who owns the shelf, and who sells from it
Brands & Merchants splits the shelf two ways. The Brand Share donut leads with your brand's share of products, then lists the brands on the shelf with their shares. The list can include an entry labelled Unknown brand, so check its size before you compare the named brands with each other. The Merchant Share donut leads with the leading merchant's share of product cards and lists the other merchants the same way.
Below the donuts, Top Brands and Top Merchants tables give each name its share, its change against the previous period, the number of products and the number of appearances.
Brands & Merchants. The left donut leads with your own share of products, the right one with the leading merchant's share of product cards, and both tables show the change against the previous period.
We read the two halves together. Your brand share tells you whether your products make the shelf at all. Merchant share tells you where the shopper is sent when they do. If a retailer leads merchant share, that is where the answers send shoppers, which is fine when that retailer stocks you and worth knowing when it doesn't.
Prompts & Responses: the questions behind the shelf
A share number means little until you can see the question that produced it. Prompts & Responses puts two tables side by side.
Shopping Prompts lists each tracked prompt with the AI models that returned products for it, how many products came back and the top brand. Shopping Responses lists each answer with its model, its product count and its top brand. Both tables have an Only Your Products toggle and their own export button. Prompts appear in the market's language, so a French or Dutch prompt sits next to an English one.
Prompts & Responses. Each tracked shopping prompt shows which AI models returned products, how many, and the top brand, with the matching answers in the table on the right.
Our usual pass: scan Shopping Prompts for the prompts with a high product count where the top brand isn't you, then switch on Only Your Products to see which of your products made it anywhere. Those prompts are your shortlist.
Improvements: the AI shopping checklist
Improvements is the one tab that needs a product feed. Until you connect one, it shows a single line: connect a product feed to check every product against the AI shopping checklist, with a Connect feed button. Everything else in Shopping Insights works without it.
The feed is how we know your catalog, not just the answers. You can connect Shopify, Merchant Center or a file feed, and we keep it in sync. The connection cards also show WooCommerce and BigCommerce.
With a feed connected, Improvements checks each product against three readiness flags:
ACP readiness
UCP readiness
Web page readiness
Each is marked ready or blocked. Improvements also lists product-level issues, such as links that reach the wrong page, titles missing the product name, and missing apparel or product attributes. Our feed-health checks also flag missing GTINs, sizes and images.
None of these issues are exotic. A title without the product name gives a model less to match against a shopper's question, and a link to the wrong page sends the shopper somewhere you didn't intend. The point of the list is that each fix is tied to a specific product, so a merchandising team can work through it instead of auditing the whole catalog by hand.
Site-wide problems such as crawl access and schema belong to the Agent Readiness Checklist. That checklist covers your site. Improvements covers your products.
Plans and limits
Shopping Insights measurement is on every plan, starting with Lite at €49 per month, excluding VAT. What changes by plan is how many product improvements you can work through:
Plan | Product improvements |
|---|---|
Lite | None |
Starter | 20 |
Growth | 200 |
Enterprise | Unlimited (fair use) |
The fuller Shopping Insights readiness audit, which looks at product data for AI shopping and agents, is on Growth and Enterprise. Lite and Starter come with a 7-day free trial, and a payment card is required. The Opttab pricing page has the full plan map.
Where your product data goes next
A connected feed and clean product data are also what a Brand Agent works from when it answers shoppers on your behalf. That is the Agentic Commerce pillar and a separate module: Enterprise for brands, and Agency Scale or Agency Enterprise for agencies. It is a different product from Opttab Chat. The fixes you make in Improvements help whether or not you run one.
Getting started
The full module is described on our Shopping Insights page, and it is one part of the new Opttab. A good first session: open Prompts & Responses for your highest-intent shopping prompts, note where competitor products hold the shelf, then connect your feed and start on the blocked products.
Start your agentic journey or Book a demo. Existing customers can open the new Opttab in the account they already use at app.opttab.com.
