# L.L.Bean: -41 point Door Gap
- Site: llbean.com
- Scanned: 2026-09-02
- Scan type: Basic scan
- Business type: ecommerce
- Report: https://www.seconddoor.io/r/llbean-8escaw
- Scanner version: 9
Prices are visible to shoppers but not to agents, and there is no path for either to complete a purchase without leaving the site.
## Scores
| Measure | Score |
| --- | --- |
| Humans | 0/100 |
| Agents | 41/100 |
| Composite | 21/100 |
| Door Gap | -41 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 9 of 17 requests, but could not read the site's own guide for language models. It came up empty on 7 other checks too. That is enough missing for a machine to give up before it reaches a purchase.
- 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
- missing 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. **The product pages carry no Product structured data, so an assistant must scrape the page to learn a price, and cannot learn availability or an identifier at all.** (pricing_legibility)
2. **No developer documentation is linked from the homepage, in raw HTML or the rendered page, so integration starts with a search engine.** (programmatic_onboarding)
3. **Product pages carry prices in text only, not in structured data, so agents cannot extract them without parsing the page.** (pricing_legibility)
The evidence and the recommended fix for each are on the report page: https://www.seconddoor.io/r/llbean-8escaw
## Files generated from this scan
- **Product markup skeleton** at `/llb/shop/518583`, 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/llbean-8escaw
## The agent door
- **machine_discoverability** 100/100. No AI crawler is blocked by robots.txt or user agent rules. A real browser is served the page normally. The sitemap lists 217 URLs including product pages. The homepage carries 4 schema.org types. Key pages are readable without JavaScript.
- **programmatic_onboarding** 10/100. No API documentation is linked from the homepage. No OpenAPI spec exists at any of the 6 standard paths. No MCP manifest is published. An agent cannot onboard programmatically and must scrape the site like a human.
- **pricing_legibility** 45/100. 26 prices appear in the homepage HTML and 89 prices across 3 product pages without JavaScript. No Product structured data exists on any product page read.
- **agent_aware_instrumentation** 8/100. No MCP manifest is published at any of the 3 standard paths. No UCP manifest exists. No commerce platform or payment processor is declared. An agent has no published route to act on behalf of a shopper.
- **machine_fetchable_trust** 65/100. The returns policy reads as text with a 6-day window and free returns. The shipping policy reads as text. No security.txt is published. The homepage answers automated requests. Trust signals are readable but incomplete.
- **commercial_rails** 17/100. The sitemap lists the products, returns and shipping terms read as text.
## The human door
- **steps_to_first_value** null/100. Could not verify: this scan did not reach the pages that would show it.
- **required_fields** null/100. Could not verify: this scan did not reach the pages that would show it.
- **verification_walls** null/100. Could not verify: this scan did not reach the pages that would show it.
- **error_recovery** null/100. Could not verify: this scan did not reach the pages that would show it.
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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