TL;DR — Check Insights > Shopping Results to see which of your products appear in AI-generated shopping responses and whether pricing is accurate. Go to Visibility > Responses to read the exact language AI uses when recommending (or skipping) your products. Monitor the Provider breakdown to identify which AI models surface your products most. Pro tip: ensure your product specs and pricing are in static HTML with Product schema — AI cannot parse JavaScript-rendered or PDF-only content.
The Question
“Are my products showing up in AI shopping recommendations?”When someone asks ChatGPT “what is the best laptop for video editing under €1,500” or Perplexity “where can I buy noise-cancelling headphones that work on planes”, AI models act as personal shoppers. They recommend specific products, mention prices, compare features, and sometimes link to purchase pages. If your products are absent from these responses, you are invisible during one of the highest-intent moments in the modern buyer journey. You might also be wondering:
- “Is the pricing AI mentions for my products accurate and up to date?”
- “Which AI providers are most likely to recommend my products in shopping queries?”
- “How do my products compare to competitors in AI shopping responses?”
Where to Go in Qwairy
Start here: Insights > Shopping Results
Navigate to Insights > Shopping Results — your primary view for AI commerce visibility.
The dashboard shows which of your tracked products appear in AI-generated shopping responses, how frequently they are mentioned, what pricing information AI associates with each product, and which providers surface them.
Focus first on your hero products — if they are not appearing here, the shopping visibility gap is structural, not marginal.
Go deeper: Visibility > Prompts (shopping-intent queries) + Responses
Navigate to Visibility > Prompts and filter to prompts tagged with shopping or purchase intent.
Click into individual prompts to read the full AI response. Note the specific product attributes AI mentions: price range, key specs, availability, comparison points. This is the exact content AI is using to represent your product — or to recommend a competitor’s instead.
Use Visibility > Responses to read verbatim recommendation text for your product category.
Complete the picture: Overview > GEO Matrix + Looker Studio + Exports
Open Overview > GEO Matrix and filter by your product-focused topic tags to see AI shopping visibility across all providers simultaneously.
Connect the Looker Studio shopping-insights data source for a live, shareable commerce visibility dashboard.
Export the full product mention log via Workspace > Exports for cross-referencing with actual sales data.
What to Look For
Shopping Results — Product Mention Dashboard
The Shopping Results view organizes AI commerce visibility by product. Each product row shows total AI mentions, mention frequency by provider, pricing accuracy status (whether the price AI quotes matches your actual current price), and availability language (whether AI describes the product as in-stock, available online, etc.).| Element | What it tells you |
|---|---|
| Product mention count | How often this specific product appears in AI shopping responses — zero means invisible to AI shoppers |
| Pricing accuracy | Whether the price AI quotes matches your live price — mismatches actively undermine conversions |
| Availability status | Whether AI describes your product as available, discontinued, or makes no availability claim |
| Provider breakdown | Which AI models are most likely to recommend this specific product |
| Sentiment on product mention | Whether AI frames the product recommendation positively, neutrally, or with caveats |
Responses — Verbatim Product Recommendation Text
Reading the actual AI responses for shopping queries provides intelligence no metric can capture: the specific language AI uses when recommending or passing on your product. Does it mention your unique selling point? Does it compare favorably to competitors? Does it quote an outdated price or reference a discontinued SKU?Pro Tip: Save the verbatim AI response text for your top 5 competitors’ hero products and compare the language to how AI describes yours. Pay attention to which product attributes competitors’ products are associated with. These attributes are what AI has extracted from crawled content — if your product page does not use this language prominently, rewrite it to match the vocabulary AI models respond to.
Filters That Help
| Filter | How to use it for this question |
|---|---|
| Provider | Focus on the AI model with the highest shopping query volume for your category — often Perplexity or ChatGPT with browsing enabled |
| Period | Use 30 days after updating product pages to verify AI has picked up the new information |
| Topic / Tag | Filter to specific product categories if you sell across multiple segments |
How to Interpret the Results
Good result
Your top 3 products appear in at least 40% of monitored shopping-intent AI responses. Pricing information in AI responses matches your live prices within a 10% variance. Availability is described as current and in stock. The product mention sentiment is predominantly positive or neutral, and your products are recommended in the same responses where competitors appear — meaning AI includes you in the consideration set rather than routing around you.Needs attention
Zero or near-zero Shopping Results data for your hero products despite those products being physically available and well-reviewed. Or pricing data in AI responses that is 6+ months out of date (reflecting a price before your last update). Or products appearing in AI responses but only with negative framing: “available but more expensive than alternatives”, “limited availability”, “fewer features at this price point.”Example
Scenario: You sell professional audio equipment and want to understand why your wireless headphone gets fewer AI recommendations than a competitor product with lower review scores.
- Open Insights > Shopping Results and compare your headphone’s mention count to the competitor’s. Your product shows 14 mentions across 90 days; the competitor shows 89. Both are similarly priced in the same category.
- Navigate to Visibility > Responses and read AI responses for “best wireless headphones for studio use”. The competitor product is described with precise technical details: “40-hour battery life, -35dB noise reduction, foldable design, ships in 2 days”. Your product is mentioned as “also worth considering” without any specific attributes.
- Check your product page against the competitor’s. Their page has a full spec table in HTML, FAQ schema covering battery life and noise reduction, and 340 Amazon reviews that multiple AI sources cite. Your page has specs in a PDF download that AI cannot crawl. Migrate specs to HTML, add Product and FAQPage schema, and initiate a review acquisition campaign.
Go Further
Shopping intelligence dashboard
Build a shopping intelligence dashboard in Looker Studio using the shopping-insights data source
Shopping Results guide
Read the Shopping Results documentation to understand how Qwairy tracks product mentions in AI shopping results
Pull shopping data via API
Use the shopping endpoint to programmatically query your product visibility in AI shopping recommendations
Related Questions
Is my brand present in AI responses for purchase-intent queries?
The funnel-level view of BOFU visibility that includes but extends beyond shopping queries
What do AI models say about my software's pros, cons, and pricing?
Similar analysis for software products — what AI says about your offering during evaluation
How visible is my brand at the top of the funnel in AI search?
Understand the awareness foundation that feeds into shopping-intent visibility