- Visibility28
- Citations1
- Sentiment82
- Site quality80
- AI readiness29
AI assistants name J.Crew in 23.3% of answers, much more often than the typical company in retail at 6.7%. Its overall score is 41 out of 100, ranking 309th of 2,047 companies. The website passes 4 out of 14 technical checks for how ready it is for AI tools.
We asked 15 unbranded questions about the retail market: none named J.Crew. AI assistants named it in 14 of 60 answers (23.3%). The typical retail company is named in 6.7% of answers. By how often it is named, J.Crew ranks 126 of 640 in its sector.
Every dot is a company in the study. Hover one to see it; click to open its report.
This companySame sectorEvery other companyNever named
Five parts, each scored out of 100.
How often AI assistants name the company
How often AI uses the company's own website as a source
How positively AI describes the company
How well built the website's own pages are
How easily AI tools can read and use the website
Visibility is calculated from the answers on this page. How the score is built.
640 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“What are the best specialty retailers for classic American wardrobe staples?”
I can provide some general guidance on this based on established knowledge, though the retail landscape does evolve. Here are some well-regarded specialty retailers known for classic American wardrobe staples:
Heritage/Premium Denim & Casual Wear:
Levi's (flagship stores and online) - iconic jeans and basics
J.Crew - classic American prep and essentials
Brooks Brothers - traditional suiting and dress shirts
L.L.Bean - outdoor classics and basics
Workwear & Utility:
Carhartt - durable workwear and casual pieces
Dickies - classic workwear staples
Red Wing Shoes - quality …
The AI’s answer as we received it, shortened and not checked for accuracy.
How the mentions in these answers were split between this company and its rivals
Answers naming it, out of answers received
What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.
- 0
- 1
- 2
- 3
- 4
- 5
Level 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.
- Content Signals
Not by itself. J.Crew publishes none of the purchase protocols we look for. An agent would have to click through the checkout like a person.
- UCPNot present
- ACPNot present
- AP2Not present
- x402Not present
- MPPNot present
Show every check, for your technical teamHide the checks
- study: 92.0%robots.txtPassed
A valid robots.txt with crawl rules at the site root.
- study: 86.8%SitemapPassed
An XML sitemap listing the pages, ideally referenced from robots.txt.
- study: 0.3%Link headersNot met
Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.
- study: 5.5%DNS for AI DiscoveryNot present
Advertise agent endpoints with SVCB records under _agents.
- study: 1.9%Markdown negotiationNot met
Return a markdown version when asked with Accept: text/markdown, for example at the CDN.
- study: 25.1%llms.txtCould not check
Publish an llms.txt with a short summary and the key links.
- study: 93.4%AI bot rulesPartly met
Add explicit robots.txt groups for the main AI crawlers.
- study: 1.4%Content SignalsNot met
Add a Content-Signal line for search, ai-input and ai-train to robots.txt.
- study: 0.2%Web Bot AuthNot present
Only relevant if you run your own agents or crawlers: publish a signing key directory.
- study: 0.3%API CatalogNot met
List public APIs in a linkset at /.well-known/api-catalog.
- study: 11.8%OAuth discoveryNot met
Publish OpenID Connect or OAuth server metadata under /.well-known.
- study: 10.3%OAuth Protected ResourceNot met
Serve protected resource metadata at /.well-known/oauth-protected-resource.
- study: 0.0%auth.mdCould not check
Publish an auth.md describing how agents sign in.
- study: 0.2%MCP Server CardNot met
Offer an MCP server and publish its server card under /.well-known.
- study: 0.1%A2A Agent CardNot met
Publish an agent card at /.well-known/agent-card.json.
- study: 0.2%Agent SkillsNot met
Publish a skills index with the main tasks agents can do.
- study: 33.7%WebMCPNot met
Register key actions such as search or cart as WebMCP tools.
- study: 0.1%ARD manifestNot met
Publish an ai-catalog.json listing every agent interface.
Score 28 of 100 · 87% of checks could run · checked on October 4, 2026 · www.jcrew.com · 2,047 companies scanned
4 of 14 passed. This list is for your technical team. The percentage is how many companies in the study pass each check.
These 14 checks ran during the audit and are what the AI readiness part of the overall score counts. The scan above ran later and is stricter on Link headers and Markdown, so a check can pass here and not there.
Show the 14 checksHide them
- Passedrobots.txt publishedstudy: 85.0%
- PassedXML sitemapstudy: 73.2%
- PassedHTTP Link headers (RFC 8288)study: 29.0%
- Not metMarkdown content negotiationstudy: 8.3%
- Not metllms.txt publishedstudy: 21.7%
- PassedToken budget (page weight)study: 95.2%
- Not metExplicit AI bot rulesstudy: 13.0%
- Not metAPI Catalog (.well-known/api-catalog)study: 0.2%
- Not metOAuth Authorization Server discoverystudy: 10.1%
- Not metOAuth Protected Resource discoverystudy: 9.3%
- Not metMCP Server Cardstudy: 0.0%
- Not metA2A Agent Cardstudy: 0.0%
- Not metWebMCP toolsstudy: 4.2%
- Not metAgent Skills declaredstudy: 0.0%
This website sets no rules for any AI crawler by name, like 84% of the websites whose rules we could read. Every AI crawler follows its general rules.
- GPTBotpartly
- ClaudeBotpartly
- Anthropic-AIpartly
- Google-Extendedpartly
- Applebot-Extendedpartly
- Meta-ExternalAgentpartly
- FacebookBotpartly
- Bytespiderpartly
- CCBotpartly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBotpartly
- Claude-SearchBotpartly
- PerplexityBotpartly
- Applebotpartly
- Amazonbotpartly
- YouBotpartly
- ChatGPT-Userpartly
- Claude-Userpartly
- Perplexity-Userpartly
- DuckAssistBotpartly
- MistralAI-Userpartly
Read from the website’s own rules file (robots.txt). An asterisk marks a crawler the file names. The rest follow its general rules. “Partly” means only some pages are blocked.
How many times each website was listed as a source in these answers
In the study as US retailers: listed as a retailer in Wikidata, a public database, and among the websites Cloudflare Radar ranks as visited.
- What options exist for those seeking premium outerwear without shopping at traditional retailers?
- What are the best specialty retailers for classic American wardrobe staples?
- Which types of apparel are best for transitioning from summer to early fall in US climates?
- What are some alternatives to shopping at large retail chains for men's and women's casual wear?
- Are contemporary apparel shops a good choice for back-to-school shopping?
- What are some versatile shoe styles suitable for both work and weekend?
- Where else can I find modern, preppy clothing options for the whole family?
- Contemporary apparel versus fast fashion: which offers better value for classic pieces?
- Is it worth paying more for specialty retailers' cotton sateen jackets?
- How do specialty fashion retailers compare to department stores for women's workwear options?
- How can I check sizing consistency when shopping for essentials like jeans or jackets online?
- What should I do if my order from a specialty fashion retailer is delayed?
- Are seasonal sales at specialty fashion stores usually better than everyday prices at big box retailers?
- How much should I expect to spend on a high-quality cotton jacket at a US specialty retailer?
- Where can I find high-quality clothing for men, women, and kids in the US?
Columns, left to right: OpenAI, Claude, Perplexity, Gemini. The AI assistants often disagree. Across the study, on 40% of the questions where a company is named, only one of the four names it.
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<a href="https://aeo-audit.rezolve.com/us/jcrew.com"><img src="https://aeo-audit.rezolve.com/us/badges/jcrew.com.svg" alt="Overall score 41 of 100, US AI Visibility Study 2026" width="280" height="64"></a>