Products and AI Shopping

Products shows how products appear inside AI answers. It combines two related but different signals:

Mentioned products: products the AI names in the answer text.
Shopping products: products rendered in shopping blocks, product carousels, or shopping-style result blocks.

This helps ecommerce, marketplace, and product-led brands understand which products AI recommends, compares, and sells through shopping surfaces.

Products vs AI Shopping

Signal	Meaning	Example
Mentioned	The product was named in the AI response text.	”The Kärcher K5 is a good option for patios.”
Shopping	The product appeared in a shopping/product listing block.	A card with image, price, seller, and rating.
Both	The product was named in text and also appeared in a shopping block.	Strongest signal: AI both recommends and displays the product.

Use the Source filter to switch between All sources, Mentioned, Shopping, and In both.

Products tab

The Products tab lists every product found in AI answers for the selected project and timeframe. You can filter by:

Source: mentioned, shopping, both, or all.
Category.
Brand or competitor.
AI engine.
Tags.
Date range.

You can sort by:

Appearances
Product name
Price
Rating
Last seen

Stores tab

The Stores tab shows sellers and stores AI cites in shopping blocks. Use it to answer:

Which retailers are most visible in AI shopping results?
Are your products shown through your own store or third-party sellers?
Which marketplaces dominate product visibility?
Which stores should you optimize product feeds or listings for?

Product detail pages

Click a product to open its detail page. Product detail pages can show:

Assigned brand or competitor.
Category.
Attributes the AI stated.
Use cases the AI associated with the product.
Products that appeared alongside it.
Explicit comparisons or relationships.
Price, rating, image, and store details where available.

Product attributes

Finseo extracts attributes from AI answers and product blocks. Attributes can describe:

Price or value
Quality
Performance
Features
Reliability
Design
Availability
Use cases

Example:

{
  "category": "pressure_washer",
  "attributes": [
    { "name": "pressure", "value": "180 bar" },
    { "name": "use_case", "value": "patio cleaning" },
    { "name": "positioning", "value": "premium home use" }
  ]
}

Use these attributes to see how AI systems position a product, not just whether it appears.

Brand assignment

When a product is not mapped to a brand automatically, you can assign it to a competitor or your own brand from the product detail view. This makes reporting cleaner because Finseo can group products by brand and domain.

How products are discovered

Products are extracted from tracked prompt results. To get useful product data:

Track prompts with product or shopping intent.
Enable models that produce shopping or product-rich answers.
Use tags for product categories and markets.
Review Products and Stores after prompt results are processed.

Good prompts:

Best pressure washer for patios
Compare Kärcher vs Nilfisk pressure washers
Which running shoes are best for marathon training?
Best CRM software for a 50-person SaaS team

Best practices

Track product-category prompts, not only brand prompts.
Use the Shopping filter to see product cards and seller visibility.
Use the Mentioned filter to see recommendations in answer text.
Use In both to find products with the strongest AI commerce presence.
Check stores to see where AI sends shoppers.
Review product attributes to identify wrong claims, missing specifications, or weak positioning.

​Products and AI Shopping

​Products vs AI Shopping

​Products tab

​Stores tab

​Product detail pages

​Product attributes

​Brand assignment

​How products are discovered

​Best practices