# Italic: 34 point Door Gap - Site: italic.com - Scanned: 2026-09-11 - Scan type: Basic scan - Business type: ecommerce - Report: https://www.seconddoor.io/r/italic-xmjvjx - Scanner version: 54 - Scanner release: 2cdef4a - Scoring methodology: 1 - Evidence schema: 1 1 human and 6 agent dimensions measured from the pages checked; remaining dimensions are not scored. ## Scores | Measure | Score | | --- | --- | | Humans | 95/100 (1/4 dimensions) | | Agents | 61/100 (6/6 dimensions) | | Composite | 78/100 | | Door Gap | 34 points | The human score is the mean of the measured human dimensions, the agent score the mean of the measured agent dimensions, and the Door Gap the difference between them. ## What the machine actually did The scanner recorded successful observations for 10 of 18 checks, but could not read the site's own guide for language models. It came up empty on 7 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 an MCP manifest at the standard paths checked - 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 - missing read the returns and shipping terms - ok discover storefront agent checkout rails - ok walk the way a visitor would, to a signup form or a product ## Top issues 1. **No review text was identified in the server HTML of the product pages checked.** (pricing_legibility) - Evidence: No review text in the server HTML of /products/luxe-australian-sateen-sheet-set, /products/shadmoor-towels, /products/ceramic-candle; the Judge.me widget is loaded by script. - Evidence: Checked URL: https://www.italic.com - Fix: Check Judge.me's supported server-rendering or structured-data options, then verify review text in a product-page response. 2. **No valid security.txt was identified at /.well-known/security.txt.** (machine_fetchable_trust) 3. **No valid llms.txt was identified at the site root.** (machine_discoverability) The evidence and the recommended fix for the rest are on the report page: https://www.seconddoor.io/r/italic-xmjvjx ## Files generated from this scan - **Product markup skeleton** at `/products/luxe-australian-sateen-sheet-set`, 30 minutes, developer. Verify: The next scan reads price, currency and availability in the Product markup of at least one product page. - **Complete the merchant fields in product markup** at `snippets/seconddoor-product-jsonld.liquid`, 30 minutes, developer. Verify: The next scan reads priceValidUntil and the available owner-reviewed return and shipping fields alongside price, currency and availability in the Product markup it samples. - **Put Judge.me reviews in the page** at `notes`, 10 minutes, no developer needed. Verify: The next scan finds review text in the server HTML of a product page. - **Organization structured data** at `homepage`, 15 minutes, developer. Verify: The next scan reads Organization and WebSite nodes in the homepage JSON-LD and the structured data 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. - **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/italic-xmjvjx ## The agent door - **machine_discoverability** 100/100. Robots.txt blocks 1 training crawler, a choice about model weights rather than about buyers. On its first visit, our browser read the homepage. No user agent rule refused the tested retrieval crawler names. - **programmatic_onboarding** 30/100. No general API documentation or OpenAPI specification was identified through the paths checked. A storefront MCP endpoint answered the tested tools/list discovery request; authentication and use were not tested. - **pricing_legibility** 83/100. Product-associated price evidence was identified in the HTTP responses from the 3 product pages checked. Product structured data publishes price and currency, so an agent can parse cost without scraping. Availability is published too. - **agent_aware_instrumentation** 55/100. No MCP manifest was identified at the discovery paths checked. Robots.txt explicitly names 1 AI crawler tokens; policies differ by token. A Universal Commerce Protocol manifest is published. - **machine_fetchable_trust** 40/100. No security.txt was identified at the checked path. The homepage answers automated requests. - **commercial_rails** 57/100. Product markup carries price and currency. The sitemap lists the products. A Shopify storefront; product identifier and brand coverage were checked. A UCP manifest publishes how to transact, a bonus. ## The human door - **steps_to_first_value** 95/100. A product priced at $249 was reached in 2 steps; a purchase control was visible. - **required_fields** not measured. Not measured: this scan did not reach the page or action needed to verify it. - **verification_walls** not measured. Not measured: this read-only scan did not submit the form or perform the action needed to test this behavior. - **error_recovery** not measured. Not measured: this read-only scan did not submit the form or perform the action needed to test this behavior. --- 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