Factor 04 · AI Commerce Score

AI TRUST CONFIDENCE™
Can AI prove you're trustworthy?

Humans recognize trust instantly. AI needs evidence. AI Trust Confidence measures whether your store proves its trustworthiness in machine-readable form, not whether it merely looks trustworthy.

15%
OF AI
COMMERCE SCORE
YOUR STORE
AI VERIFICATION
IDENTITY
REVIEWS
RETURNS
TRUST CONFIDENCE
61 / 100
Same store, two realities

Human trust vs machine trust

Humans trust what they see. AI trusts what it can parse. Your store can radiate trust to a human visitor and still register as unverifiable to an AI agent. These are two different trust languages, and most stores only speak the first one.

Human view
★★★★★
4.9 / 5
Trusted by 15,000+ customers
🔒 Secure checkout · ✓ 30-day returns
AI view
Rating schema
Review count
Organization
Return policy
Contact identity
Shipping terms
TRUST CONFIDENCE
43 / 100
Looks trusted ≠ verified trusted.
Not a ranking factor

Trust is a gate

The AI Trust Layer doesn't nudge your position up or down. It decides whether you're in the running at all.

STORE DISCOVERED
TRUST CHECKIs this merchant real? Can AI verify it?
ELIGIBLE
EXCLUDED
AI SCORING
RECOMMENDATION
Trust doesn't improve your ranking. It determines whether you enter the race.
The evidence stack

What AI can actually verify

These are the six domains AI agents check before trusting a merchant. Each one needs to exist in machine-readable form, not just on the page for a human to read.

6 verification domains
01
CUSTOMER PROOF
AggregateRating · reviewCount · ratingValue
VERIFIED
02
BUSINESS IDENTITY
Organization · legal name · contact point
VERIFIED
03
BUYER PROTECTION
return policy · refund terms
MISSING
04
DELIVERY
shipping policy · delivery time
PARTIAL
05
COMMERCE CONSISTENCY
price · availability
VERIFIED
06
EXTERNAL VALIDATION
reviews · press · citations
PARTIAL
Signal by signal

Trust Confidence, decomposed

AI Trust Confidence
61 / 100
Customer proof
82
Identity
71
Returns
40
Shipping
51
Commerce accuracy
91
External validation
57
Your weakest signal is your trust bottleneck.
Where brands lose recommendations

The trust gap

94
Human trust
43
AI verification
Your customers may trust you more than AI does. The gap between human-visible trust and machine-verifiable trust is where established brands lose AI recommendations.
Forensic view

What AI silently misses

Trust can be present on the page and still be invisible to AI. Here is what actually happens when three common trust signals get read by a machine instead of a person.

Human sees
★★★★★ 4.9 / 5
12,482 reviews
AI extracts
ratingValue: null
reviewCount: null
aggregateRating: null
VERIFICATION FAILED
Human sees
Easy 30-day returns
AI extracts
returnPolicy: null
returnWindow: null
refundMethod: null
VERIFICATION FAILED
Human sees
Trusted brand since 2014
AI extracts
Organization.name: ✓
Organization.url: ✓
sameAs: ✕
contactPoint: ✕
PARTIALLY VERIFIED
How to raise it

Turn trust into machine evidence

01REVIEWSPixels → structured proof
02RETURNSPolicy page → crawlable evidence
03IDENTITYBrand → verifiable entity
04COMMERCEDisplayed price → consistent price
05DELIVERYPromise → machine-readable fact
Before
Human trust
94
AI verification
43
After
Human trust
94
AI verification
82
Trust already existed. We made it legible.
Where this fits

AI Trust → Recommendation

AI TRUST CONFIDENCE
AI COMMERCE SCORE
AI Readability Semantic Commerce AI Trust Recommendation Intelligence
RECOMMENDATION CONFIDENCE
RECOMMENDATION SHARE
Trust is not the final outcome. It is what makes recommendation possible.
FAQ

AI Trust Confidence: common questions

What is AI Trust Confidence?
AI Trust Confidence is the degree to which an AI shopping agent can independently verify that your store is legitimate, reliable, and safe to transact with, using structured, machine-readable signals rather than visual cues. It is one of the 8 factors in the AI Commerce Score, weighted at 15%.
Why does trust gate recommendations instead of just ranking them?
Recommending a store is a risk for an AI agent. If it sends a buyer to a store that turns out to be unreliable, the agent looks unreliable too. So trust is checked before scoring, not blended into it: a store that cannot be verified is excluded rather than ranked lower.
Can a store with great reviews still fail AI Trust Confidence?
Yes, and this is the most common failure mode. If reviews are rendered by a JavaScript widget with no AggregateRating schema, an AI agent sees no rating at all, regardless of how many five-star reviews exist for human visitors.
What is the single fastest fix?
Enabling AggregateRating schema in your review app and publishing your return policy as a plain, crawlable page. Together they cover the two heaviest-weighted trust signals, and for most stores both can be live within an afternoon.
Does AI Trust Confidence replace real trust or reviews?
No. It does not create trust, it exposes trust that already exists to a reader that cannot see badges, photos, or brand voice. The fixes are almost entirely structural, not cosmetic.

How much of your trust can AI actually verify?

Scan your store and see which trust signals AI can confirm, and which ones exist only for humans.

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