01
Semantic Visuals and Image Clarity
15 points
Can AI understand what your product actually looks like?
Product images
+
Alt text
+
Product context
↓
AI vision
↓
Semantic clarity
Image accessibility
Descriptive alt text
Image and product consistency
Semantic description
Visual clarity
Why it matters: AI systems increasingly interpret product imagery directly. The image itself becomes part of the commerce signal, not just decoration next to the real information.
Typical failure
product-image-4.jpg
Machine-readable
Black heavyweight organic cotton oversized sweatshirt
02
AI Structured Signals
15 points
Does AI get facts, or does it have to guess?
Product
name
description
image
brand
offers
price
currency
availability
Organization
name
logo
identity
Review
ratingValue
reviewCount
AI gets facts instead of guesses.
Covers JSON-LD Product, Offer, and AggregateRating schema, Organization schema for merchant identity, and llms.txt quality. See AI Structured Signals for the full breakdown.
03
Core Technical and Interpretability
15 points
Can AI crawlers actually access and parse the store?
robots.txt✓
GPTBot✓
ClaudeBot✓
HTML✓
DOM✓
Headings✓
Core Web Vitals✓
Accessible
→
Extractable
→
Interpretable
Covers robots.txt configuration, Core Web Vitals via the PageSpeed API, and DOM structure quality including heading hierarchy. A technically broken store is an invisible store. See AI Readability and AI Interpretability.
04+05
AI Trust and Commerce Accuracy
15 + 15 points
The two factors with the most direct business impact.
Trust
Can AI verify you?
Reviews✓
Returns✓
Identity✓
Checkout✓
Policies✓
Commerce
Can AI safely describe the offer?
Price✓
Currency✓
Availability✓
Product✓
Feed✓
Trust tells AI "you are safe." Commerce tells AI "this is what you're selling."
Return policy in crawlable HTML, checkout accessibility for autonomous agents, price visible without JavaScript, and inventory consistent between feed and live page. Together these two factors fail in more than 60% of scanned stores. See AI Trust Confidence.
06
User Intent Match
10 points
Does your positioning actually fit what the buyer asked for?
Buyer prompt"Best organic collagen for endurance athletes"
Store A
"Premium wellness products for everyone."
31 / 100
Intent match
✗
Store B
"Organic collagen supplements for endurance athletes."
94 / 100
Intent match
✓
AI does not need your keywords. It needs semantic alignment between what the buyer asks and what your store represents. Measured via embedding comparison against real buyer prompt language for that category.
07
Recommendation Confidence
10 points
The social proof signals AI can actually parse.
↓ feeds ↓
Confidence to recommend
Intent Match
Does this store fit the question?
Recommendation Confidence
Can AI confidently endorse it?
AggregateRating schema with a real ratingValue and reviewCount from a verified platform, plus sentiment analysis on accessible review content. See Recommendation Confidence.
08
External Authority Signals
5 points
Evidence that exists outside your own storefront.
RedditReviewsPressCitationsMentionsExternal databases
↓
External evidence
Current weight: 5%. We keep this factor intentionally small because external authority is harder to measure deterministically than on-site commerce signals. See
Hidden Authority for more on how this evidence gets discovered.