Factor 02 · 15% of the AI Commerce Score

AI Structured Signals™. Give AI facts. Not guesses.

The machine-readable layer that tells AI exactly what your store sells, what it costs, whether it's available, who sells it, and why it should be trusted.

Weight 15% of AI Commerce ScoreFeeds Trust, Commerce, Recommendation
recovery-serum.html
Human view
Recovery Serum
★★★★★
$48
In stock
Premium recovery serum
Extract
product.schema.json
AI view
Product
├─ name: Recovery Serum
├─ price: 48.00
├─ currency: USD
├─ availability: InStock
├─ rating: 4.7
└─ brand: Example
Humans see a page. AI sees a data model.
What AI actually sees

From markup to machine-readable fact

"What is this product?"
HTML
↓
JSON-LD
↓
AI extraction
↓
FACTS
Product
Recovery Serum
✓ explicit
Price
$48.00
✓ explicit
Availability
InStock
✓ explicit
Rating
4.7 / 5
✓ explicit
Brand
Example
✓ explicit
Category
Skincare
✓ explicit
The experiment

Same store. Two different AI interpretations.

Without structured signals
Recovery Serum
48
★★★★★
PRODUCT?
PRICE?
AVAILABILITY?
RATING?
BRAND?
5 facts → 5 guesses
With structured signals
{ "@type": "Product", "name": "Recovery Serum", "brand": "Example", "offers": { "price": "48.00", "availability": "InStock" }, "aggregateRating": { "ratingValue": "4.7" } }
PRODUCT✓
PRICE✓
AVAILABILITY✓
RATING✓
BRAND✓
5 facts → 0 guesses
One product, five machine-readable facts

The AI Fact Graph

PRODUCT
Recovery Serum
↓
PRICE
$48.00
AVAILABILITY
InStock
BRAND
Example
↓
RATING
4.7 ★
Commerce Trust Identity Recommendation

Each fact feeds a different part of the AI Commerce Score. One correctly implemented schema helps more than one factor.

The schema that matters

The AI Commerce Record

You do not need every schema type in the vocabulary. Five types carry almost all the weight for AI commerce.

ai-commerce-record.json
FoundationProduct
Product
├─ name
├─ description
├─ image
└─ brand
The base record AI attaches everything else to. Without it, every product is a guess.
CommerceOffer
Offer
├─ price
├─ currency
└─ availability
Lets AI confirm what something costs and whether it can be bought right now.
TrustAggregateRating
AggregateRating
├─ ratingValue
└─ reviewCount
Turns customer proof from pixels into a verifiable trust signal.
IdentityOrganization
Organization
├─ name
├─ logo
└─ sameAs
Gives AI a verifiable identity to attach trust to and links your store to your wider presence.
StructureBreadcrumbList
BreadcrumbList
└─ category path
Helps AI place a product in the right part of your catalogue and understand structure.
Why accuracy matters more than presence

When structured data disagrees with the store

Visible page
$48.00
✓
Schema
$39.00
✗
AI conflict detected
Structured data is not valuable because it exists. It is valuable because it is accurate.
How to add it

Fix your signals

01. PRODUCTHIGH
Product schema missing
↓
02. OFFERHIGH
Price / availability incomplete
↓
03. TRUSTMEDIUM
AggregateRating unavailable
↓
04. IDENTITYMEDIUM
Organization incomplete
4 issues detected → estimated AI Commerce impact: -17 pts
The payoff

Ask AI

Buyer intent"Find me a recovery serum under $50 with strong customer reviews."
↓
AI reads store
Product✓
Price✓
Availability✓
Rating✓
Brand✓
↓
AI evaluates
Price match✓
Product match✓
Trust✓
Availability✓
↓
Recovery Serum
$48 · In stock · 4.7 ★
Recommendation confidence
82%
Structured signals don't make AI recommend you. They give AI the facts it needs to make the decision.
FAQ

AI Structured Signals questions

What are AI Structured Signals?
AI Structured Signals are machine-readable data, mainly JSON-LD schema, that state your store facts explicitly: what a product is, its price, availability, brand, rating, and who stands behind the store. They turn content AI would otherwise have to infer from prose into facts it can read directly and act on with confidence.
Which schema types matter most?
Product schema with price, availability, and brand is the foundation. Organization schema establishes a verifiable business identity. AggregateRating provides machine-readable review proof. Offer and BreadcrumbList add pricing precision and structure. Together these cover what AI needs to understand, trust, and place your store.
Does schema actually affect AI recommendations?
Indirectly, and significantly. Schema does not make AI recommend a store by itself, but it supplies the facts the recommendation decision depends on: price, availability, and trust proof. Without it, AI has to guess, and guesses lower confidence.
What happens when schema and page content disagree?
AI treats it as a conflict. If your schema price does not match the price a buyer would actually see, that mismatch damages trust more than having no schema at all, because it signals the data cannot be relied on.
Does schema replace good page content?
No. Schema and content work together. Structured signals state the facts, and clear, intent-aligned copy helps AI match you to buyer queries. Schema without specific positioning still leaves you hard to match. The two reinforce each other rather than substitute.
How do I test my structured signals?
Run a free AI Commerce Score scan, which checks which schema types are present, which are missing, and whether the values agree with what a buyer actually sees on the page.

What does AI actually know about your store?

Run a free scan and see the machine-readable facts AI can extract from your products, pricing, availability, and trust signals.

Product schema · Offer · Organization · Reviews · AI extraction
Related terms
AI Trust LayerSchema that proves trust AI ReadabilityCan AI extract your content? Agent-Readable CommerceThe full readable store AI ExtractabilityThe file and data AI reads first AI Commerce ScoreAll 8 factors explained Semantic ClarityMaking positioning explicit