
- Visibility31
- Citations0
- Sentiment85
- Site quality80
- AI readiness57
AI assistants name Everlane in 28.3% of answers, which is much more often than the typical company in the retail sector. Everlane's overall score is 45 out of 100, ranking 111th of 2,047 in the study. Its website passes 8 of 14 technical checks for readiness for AI tools.
We asked 15 unbranded questions about the retail market: none named Everlane. AI assistants named it in 17 of 60 answers (28.3%). The typical retail company is named in 6.7% of answers. By how often it is named, Everlane ranks 93 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 some alternatives to traditional mall retailers for everyday fashion basics?”
Here are some popular alternatives to traditional mall retailers for everyday fashion basics:
1. Online Retailers
Direct-to-consumer brands (like Everlane, Bonobos, Warby Parker) that sell online without middlemen
Marketplace platforms (Amazon Fashion, ASOS, Shein) offering wide selections at various price points
Fast fashion chains with strong online presence (H&M, Zara, Forever 21)
2. Discount and Off-Price Stores
TJ Maxx, Marshalls, Ross, and Burlington offer brand-name items at discounted prices
Outlet malls for factory-direct deals
Costco and wareho …
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. Everlane 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.everlane.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.
- What are some alternatives to traditional mall retailers for everyday fashion basics?
- How much should I expect to pay for high-quality minimalist fashion in the US?
- What are the best places to buy quality basics for adults in the US?
- Are transparent pricing models really better when shopping for basics?
- Why do some basic tees lose their shape quickly after washing?
- Which wardrobe staples work best for transitioning between seasons?
- How do sustainably made basics compare to fast fashion in terms of durability?
- Where else can I shop for affordable, ethically made wardrobe staples in the US?
- What options are there for sustainable fashion basics for men and women?
- Is it worth spending more on ethical fashion brands for essentials?
- What kind of essentials should I pack for a versatile business-casual wardrobe?
- Are there budget-friendly options for modern essentials without sacrificing quality?
- Where can I find modern essentials for a minimalist wardrobe?
- Cotton vs. blends for everyday T-shirts: which is better for durability and comfort?
- How can I prevent my favorite denim from fading or stretching out?
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/everlane.com"><img src="https://aeo-audit.rezolve.com/us/badges/everlane.com.svg" alt="Overall score 45 of 100, US AI Visibility Study 2026" width="280" height="64"></a>