
- Visibility7
- Citations1
- Sentiment100
- Site quality80
- AI readiness57
AI assistants name Journelle in 5% of answers, which is slightly less often than the typical company in the retail sector at 6.7%. Its overall score is 41 out of 100, ranking 353rd of 2,047 companies in the study. The company's website passes 8 of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the retail market: none named Journelle. AI assistants named it in 3 of 60 answers (5.0%). The typical retail company is named in 6.7% of answers. By how often it is named, Journelle ranks 339 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
“Does luxury women's lingerie typically last longer than mid-range options?”
Typically, yes—but not always. Luxury women’s lingerie is often made to last longer than mid-range options because it tends to use higher-quality materials and construction, but actual lifespan still depends heavily on fit, frequency of wear, and care.
Vogue notes that pricier lingerie brands emphasize craftsmanship and are “truly made to last.”
Journelle says the brands it carries are selected for “construction, sizing consistency, durability after washing.”
Several luxury-focused guides similarly say high-quality fabrics and careful construction can extend …
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
Yes. Journelle publishes a UCP profile, a file that tells an AI agent how to buy, and it includes checkout.
- UCPPublished
- ACPNot present
- AP2Not present
- x402Not present
- MPPNot present
The page also offers an agent tools inside the browser: add to cart, proceed to checkout, update cart lines.
The shop runs on Shopify.
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.txtPassed
An llms.txt that tells language models what the site offers.
- 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 discoveryPassed
OpenID Connect or OAuth metadata agents can use to sign in.
- study: 10.3%OAuth Protected ResourcePassed
Metadata telling agents which authorization server to use.
- study: 0.0%auth.mdNot met
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%WebMCPPassed
Tools registered in the browser through navigator.modelContext.
- study: 0.1%ARD manifestNot met
Publish an ai-catalog.json listing every agent interface.
Score 45 of 100 · 100% of checks could run · checked on October 5, 2026 · www.journelle.com · 2,047 companies scanned
8 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%
- PassedMarkdown content negotiationstudy: 8.3%
- Passedllms.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%
- PassedOAuth Authorization Server discoverystudy: 10.1%
- PassedOAuth 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.
- Where can I find premium women's loungewear sets in the US?
- Why does my silk nightgown lose its sheen after a few washes?
- What type of lingerie is best for pairing with formal evening wear?
- What are some good alternatives to silk for luxurious feeling women's sleepwear?
- Are premium silk pajamas a good choice for hot sleepers?
- How does silk lingerie compare to lace lingerie in terms of comfort and durability?
- Which silk sleepwear collections are most popular among fashion-forward shoppers?
- What price range should I expect for luxury women's bras and sleepwear in the US?
- How can I prevent delicate lace bras from stretching out quickly?
- What are the differences between luxury loungewear and standard cotton sleepwear?
- Does luxury women's lingerie typically last longer than mid-range options?
- How do wireless bras stack up against underwire bras for all-day comfort?
- What are the best luxury lingerie brands for women who value comfort and style?
- Which women's sleepwear fabrics are best for sensitive skin?
- Is investing in high-end lingerie truly worth the price for everyday wear?
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/journelle.com"><img src="https://aeo-audit.rezolve.com/us/badges/journelle.com.svg" alt="Overall score 41 of 100, US AI Visibility Study 2026" width="280" height="64"></a>