# Trinny London: 33 point Door Gap
- Site: trinnylondon.com
- Scanned: 2026-09-08
- Scan type: Basic scan
- Business type: ecommerce
- Report: https://www.seconddoor.io/r/trinnylondon-racf6j
- Scanner version: 12
A beauty storefront with readable product data but no agent checkout path and missing product identifiers that prevent reliable matching.
## Scores
| Measure | Score |
| --- | --- |
| Humans | 85/100 |
| Agents | 52/100 |
| Composite | 69/100 |
| Door Gap | 33 points |
The human score is the mean of the four human dimensions, the agent score the mean of the six agent dimensions, and the Door Gap the difference between them.
## What the machine actually did
The agent got through 10 of 17 requests, but could not read the site's own guide for language models. It came up empty on 6 other checks too.
- ok      reach the site at all
- ok      find out whether machines are welcome
- ok      ask whether the door opens for requests carrying the AI crawlers' names
- missing read the site's own guide for language models
- ok      find out what pages exist
- missing find a contact route for machines
- missing find a published agent interface
- missing find an agent plugin manifest
- missing find out whether verified agents are recognised
- ok      read the homepage as data rather than as a page
- missing find a machine readable API spec
- missing read the developer documentation
- ok      read the prices without running JavaScript
- ok      read the product catalogue as data
- ok      read a product page as data
- ok      read the returns and shipping terms
- ok      walk the way a visitor would, to a signup form or a product
## Top issues
1. **Product pages lack identifiers, making it impossible for an agent to reliably match products across sources or prevent duplicate orders.** (commercial_rails)
2. **Product pages do not publish return or shipping policies in structured data, forcing an agent to fetch separate policy pages to answer customer questions.** (machine_fetchable_trust)
3. **No developer documentation is linked from the homepage, in raw HTML or the rendered page, so integration starts with a search engine.** (programmatic_onboarding)
The evidence and the recommended fix for each are on the report page: https://www.seconddoor.io/r/trinnylondon-racf6j
## Files generated from this scan
- **Product markup skeleton** at `/us/products/fearless-skin-tint-drops`, 2 hours, developer. Verify: The next scan reads price, currency and availability in the Product markup of at least one product page.
- **robots.txt rules for AI crawlers** at `/robots.txt`, 10 minutes, no developer needed. Verify: The next scan reads robots.txt and finds every search and agent crawler allowed, none of them kept off product or pricing paths.
- **Return policy and shipping structured data** at `product page`, 30 minutes, developer. Verify: The next scan reads a MerchantReturnPolicy on the product pages, and OfferShippingDetails when the shipping node was published.
- **Agent checkout: where you stand** at `notes`, 10 minutes, no developer needed. Verify: The next scan finds a UCP manifest, a storefront MCP endpoint or another discovery file answering, and the checkout check passes.
- **security.txt** at `/.well-known/security.txt`, 10 minutes, no developer needed. Verify: The next scan fetches /.well-known/security.txt as text and the security.txt check passes.
- **Machine interfaces: where you stand** at `notes`, 10 minutes, no developer needed. Verify: The next scan finds the interface you published answering at its well-known path, and that check passes.
- **llms.txt** at `/llms.txt`, 15 minutes, no developer needed. Verify: The next scan fetches /llms.txt as text and the llms.txt check passes.
Each file is written from what this scan found on the site. The content is in the JSON once the evidence is opened: https://www.seconddoor.io/api/reports/trinnylondon-racf6j
## The agent door
- **machine_discoverability** 100/100. No AI crawler is blocked by robots.txt; the site explicitly allows GPTBot, Claude, Gemini and Perplexity. A real browser is served the page normally. The sitemap lists 1506 URLs including product pages.
- **programmatic_onboarding** 10/100. No API documentation is linked from the homepage. No OpenAPI spec exists at any of the 6 standard paths checked. No MCP manifest, UCP manifest, or commerce platform integration is published.
- **pricing_legibility** 78/100. Prices appear in raw HTML on the homepage (19 instances) and across 3 product pages checked (73 instances). Product structured data publishes price and currency without JavaScript. Availability is also published.
- **agent_aware_instrumentation** 8/100. No MCP manifest exists at any of the 3 standard paths checked. No Web Bot Auth signals are published. No ai-plugin.json or llms.txt file is present. The site does not declare any machine-readable integration points for agents.
- **machine_fetchable_trust** 65/100. No security.txt file is published. The returns policy reads as plain text with a 30-day window and free returns; the shipping policy also reads as text. Both are linked from product pages. The homepage answers automated requests.
- **commercial_rails** 53/100. Product markup carries price and currency; the sitemap lists products; returns and shipping terms read as text. However, product pages lack SKU, GTIN or MPN fields, making reliable product matching impossible for an agent.
## The human door
- **steps_to_first_value** 95/100. A product with its price ($100) and an add-to-cart control is reachable in 2 steps from the homepage. The product page renders with price and availability in structured data.
- **required_fields** 80/100. The product page does not demand an account before adding to cart. Two express wallets, Apple Pay and PayPal, skip the form entirely. Only 2 form inputs carry constraints, and neither blocks purchase.
- **verification_walls** 75/100. No sign-in requirement appears on the product page before purchase. The entry path walk found no account gate. A shopper can add items to the cart and reach checkout without proving identity, though the checkout itself was not walked.
- **error_recovery** 90/100. The product page offers 99 size or colour choosers, allowing a shopper to correct their selection before committing to purchase. Validation is present on 1 of 2 form inputs, with 1 live region for feedback.
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Scored by SecondDoor. Method: https://www.seconddoor.io/methodology
Scan another site: https://www.seconddoor.io
Rate an issue or this report: POST https://www.seconddoor.io/api/feedback, or the rate_fix tool on https://www.seconddoor.io/api/mcp