Deep scanRetail storefront · Storefront property/Scanned 4 Sept 2026, 01:44 UTC/2 walks, 18 requests, 2 moments recorded
fahertybrand.com
Faherty's catalogue and checkout are both machine readable, but the price an agent renders on the page does not match the price in the structured data it reads.
Two issues, in priority order
Each one is drawn from evidence recorded during the walks.
2 pieces of evidence and the recommended fix are recorded for this issue.
What a visitor actually meets
2 moments
We walked the funnel in a real browser and captured every step. Nothing was submitted and no account was created.
- 01
Landing page
Homepage is a fashion banner "FALL in JAPAN" with CTAs for Men's and Women's New Arrivals. Clear within seconds this is a clothing retailer. Nav covers Men, Women, Accessories, Kids, Resale, Sale, About. Free shipping over $150 banner. A "Faherty AI" chat widget sits bottom right.
smooth·fahertybrand.com
Faherty landing page - 02
Category listing page
Men's New Arrivals shows 191 results with prices displayed directly on each tile, no need to click in for cost. Filter and sort options present. Prices range roughly $68 to $398, consistent with a premium casualwear positioning. Product cards show color swatches and wishlist heart icons, no login required to browse.
smooth·/collections/mens-new-arrivals
Men's New Arrivals collection page
We sent a buying agent
18 requests, in order
The agent got through 12 of 18 requests, but could not find a contact route for machines. It came up empty on 5 other checks too.
- 01reached
fahertybrand.com
reach the site at all
- 02reached
/robots.txt
find out whether machines are welcome
- 03reached
fahertybrand.com
ask whether the door opens for requests carrying the AI crawlers' names
- 04reached
/llms.txt
read the site's own guide for language models
- 05reached
/sitemap.xml
find out what pages exist
- 06not found
/.well-known/security.txt
find a contact route for machines
- 07not found
fahertybrand.com
find a published agent interface
- 08not found
/.well-known/ai-plugin.json
find an agent plugin manifest
- 09not found
fahertybrand.com
find out whether verified agents are recognised
- 10reached
fahertybrand.com
read the homepage as data rather than as a page
- 11not found
fahertybrand.com
find a machine readable API spec
- 12not found
fahertybrand.com
read the developer documentation
- 13reached
fahertybrand.com
read the prices without running JavaScript
- 14reached
fahertybrand.com
read the product catalogue as data
- 15reached
fahertybrand.com
read a product page as data
- 16reached
fahertybrand.com
read the returns and shipping terms
- 17reached
fahertybrand.com
walk the way a visitor would, to a signup form or a product
- 18reached
/cart
Check if cart/checkout requires account creation
Ten dimensions
Not measured is not zero.
The agent door
70 of 100What a machine can do on your site with nobody watching.
Machine discoverability
Whether a retrieval system can find and read you at all.
Robots.txt names every major AI crawler as allowed, llms.txt is published, and the 704 URL sitemap lists product pages directly. Nothing blocks discovery.
4 observations recorded.
Programmatic onboarding
Whether an agent can get working access without a human.
No account or API key is needed to browse or buy: products.json returns 12 products with vendor and price with zero authentication, and a UCP manifest with a storefront MCP endpoint declares checkout, cart and order capabilities.
4 observations recorded.
Pricing legibility
Whether total cost can be computed from published numbers.
Prices, currency and availability sit in raw HTML and in Product structured data on all 3 pages checked, with a GTIN identifying each item. But the rendered page showed $150 while the JSON-LD carried $148 for the same product, a.
2 observations recorded.
Agent-aware instrumentation
Whether you publish anything built for machine callers.
A Universal Commerce Protocol manifest and a storefront MCP endpoint publish checkout, cart and order capabilities over 3 payment handlers, and the product feed carries everything a merchant listing needs.
4 observations recorded.
Machine-fetchable trust
Whether terms, security and status are readable as text.
Returns and shipping policies read as plain text and are also embedded in structured data, and the return policy backs an aggregate rating of 4.9 over 17 reviews on product pages.
3 observations recorded.
Commercial rails
Whether a purchase can complete without a sales call.
Product markup carries price, currency, GTIN, brand, availability, an aggregate rating, and full shipping and return terms, and the catalogue answers as structured data at /products.json.
4 observations recorded.
The human door
85 of 100What a first time visitor meets between landing and first value.
Steps to first value
How far a new visitor travels before something useful happens.
A product with its price visible ($150) and an add-to-cart control is two clicks from the homepage, with 9 size or colour choosers available before committing to buy.
1 observation recorded.
Required fields
How much you ask for before you give anything back.
Nothing on the product page demands an account before purchase, and three express wallets, Apple Pay, Shop Pay and PayPal, let a buyer skip the form entirely. The cart itself loads without any login prompt.
1 observation recorded.
Verification walls
How many gates stand between intent and access.
No sign-in requirement appears on the product page, and the cart page shows Login as an optional link rather than a gate, so browsing and adding to cart both proceed without identity checks.
1 observation recorded.
Error recovery
What happens when someone gets it wrong.
9 size or colour choosers on the product page let a shopper correct a selection before checkout, and 6 of 33 form inputs on the entry path carry validation constraints with 79 inline error containers ready to surface mistakes.
1 observation recorded.
Show the score
The badge always shows the latest scores for this domain and links back to the report. Put it in a README or a footer.
This number moves every time you deploy
SecondDoor rescans on a schedule and tells you the day a release closes a door. Watch the trend on the dashboard, or scan another site now.