How AI Shopping Assistants Compare Products

Step 1: interpret the request

A shopper may combine category, budget, recipient, use case, exclusions, and delivery timing:

Find a beginner crochet kit under $45 with video lessons,
left-handed instruction, all tools included, and delivery this week.

The assistant turns that into constraints. Some are explicit; others may require clarification.

Step 2: retrieve candidates

Candidates can come from web search, a shopping graph, a merchant catalog, a product feed, or platform partners. Retrieval varies by platform and market.

This is why crawler access, catalog eligibility, and category data matter before the comparison begins.

Step 3: normalize attributes

Different stores describe the same fact differently:

Complete beginner
Level 1
No experience required

A system may attempt attribute normalization, mapping varied language to a common concept. Clear named facts reduce errors.

For the crochet kit, the comparison fields are:

• skill level
• included yarn and hook
• written pattern
• video instruction
• left-handed support
• current price
• current availability
• delivery market

Step 4: resolve conflicts

The page may say sold out while an Offer in Product JSON-LD says InStock. A feed may contain a different price. The assistant must choose a source or express uncertainty, and it may choose incorrectly.

Merchants should remove contradictions rather than trying to predict which source wins.

Step 5: explain the shortlist

A useful shortlist connects each product to the buyer’s constraints and names missing evidence:

Product	Strong match	Uncertainty
kit A	explicit left-handed video	delivery date not stated
kit B	all tools listed	handedness support absent

Products with complete attributes are easier to compare, but completeness alone does not guarantee selection.

What a merchant should change

Write product pages around actual comparison fields. Display package contents, compatibility, size, limitations, price, and stock. Use Shopify metafields to keep repeated attributes consistent. Keep the canonical page and connected feeds current.

Do not add a table of irrelevant specifications merely to look complete. Answer the decisions real buyers make.