Shopping Intelligence
When someone asks AI "best shoes under $150" and it shows product tiles with prices, Shopping Intelligence tells you if your product was one of them, its position, and the price shown — plus why it was left out if it wasn't.
AI engines don't just recommend brands in text — they show product cards with prices, images, and buy links. Shopping Intelligence tracks when and how your products appear in these AI shopping surfaces.
What AI Shopping Looks Like
When a user asks ChatGPT or Google AI "best wireless earbuds under $100", the AI may show:
Example: ChatGPT Shopping Cards
Allbirds Runner
$120
allbirds.com
Nike Pegasus 41
$130
nike.com
On Cloudmonster
$170
on-running.com
What We Track
- Card appearance: Did your product show up in the shopping carousel?
- Position: Where in the carousel (position 1 = strongest)
- Pricing: What price was shown — is it accurate vs your actual price?
- Merchant attribution: Which retailer was linked (your DTC site? Amazon? Walmart?)
- Product matching: Which specific SKU was shown, matched to your catalog
- Competitor cards: Which competitor products appeared alongside yours
Why Products Get Excluded from Shopping Cards
If your products DON'T appear in AI shopping results, common reasons include:
| Reason | What it means | Fix |
|---|---|---|
| No merchant feed | Your products aren't in the AI's shopping graph | Submit product feed to Google Merchant Center / Microsoft Merchant Center |
| Missing price | No structured pricing available for the AI to display | Ensure schema.org/Product markup with price on product pages |
| Out of stock | Product was excluded because availability is "out of stock" | Keep availability status accurate in your feed |
| Not in shopping graph | The AI doesn't recognize this as a purchasable product | Ensure product structured data is complete (GTIN, brand, category) |
Product-Level Analytics
For e-commerce brands with catalogs, A2Z Reach provides SKU-level tracking:
Example: Allbirds Product Dashboard
| Product | Visibility | Avg Position | Win Rate |
|---|---|---|---|
| Tree Flyer | 12 appearances | #2.1 | 34% |
| Tree Runner | 8 appearances | #3.4 | 22% |
| Wool Runner | 3 appearances | #4.0 | 10% |
Catalog Integration
To get product-level analytics (Enterprise), connect your product catalog:
- Shopify: Automatic product sync via store URL
- Manual feed: Upload CSV with product names, prices, and identifiers
- API: POST products programmatically
The catalog enables SKU-level matching: when the AI shows "Allbirds Tree Flyer $120", we match it to your catalog record and check if the price is accurate, which retailer is attributed, and whether it's the right product variant.
Attribute Analysis
Beyond presence/absence, Shopping Intelligence analyzes the attributes AI engines compare products on:
- Facts: Binary attributes (dairy-free ✓, vegan ✓, machine-washable ✓)
- Characteristics: Qualitative mentions (comfortable, lightweight, durable)
- Ratings: Numeric scores cited from review sites
This shows which product qualities AI engines value in your category — informing product positioning and feature messaging.
Free vs Paid vs Enterprise
- Free: No shopping data
- Starter / Growth / Agency: Product mention tracking (appeared/not, position, price shown)
- Enterprise: Full catalog matching, SKU resolver, attribute analysis, merchant comparison