- Visibility3
- Citations0
- Sentiment50
- Site quality87
- AI readiness36
AI assistants rarely name Oxford Industries in their answers, mentioning it in 1 out of 60 answers. Its overall score is 29 out of 100, ranking 1,348th of 2,047 companies. The website passes 5 of 14 technical checks for readiness for AI tools.
We asked 15 unbranded questions about its market: none named Oxford Industries. AI assistants named it in 1 of 60 answers (1.7%). The typical company in its group is named in 3.3% of answers. By how often it is named, Oxford Industries ranks 35 of 61 in its sector.
Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its rivals.
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.
61 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“Typical price ranges for upscale American leisure brands”
Do you mean apparel and accessories (clothing, shoes, swimwear, outerwear), or something else (hotels/resorts, leisure equipment, etc.)? I can give a short, general price guide for upscale American leisure clothing brands now, or I can tailor it to particular brands or product types — which would you prefer?
If you want a quick general guide for apparel/accessories, here’s a concise breakdown (prices in USD, retail full-price typical ranges for upscale American leisure brands such as Polo Ralph Lauren, Tommy Bahama, Vineyard Vines, Peter Millar, Bonobos, and similar):
Tees & casual shirts …
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
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.txtNot met
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.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%WebMCPCould not check
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 25 of 100 · 97% of checks could run · checked on October 5, 2026 · www.oxfordinc.com · 2,047 companies scanned
5 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%
- PassedExplicit 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 rules for 3 AI crawlers by name. All others follow its general rules.
- GPTBot*blocked
- ClaudeBotpartly
- Anthropic-AIpartly
- Google-Extended*blocked
- Applebot-Extendedpartly
- Meta-ExternalAgentpartly
- FacebookBotpartly
- Bytespiderpartly
- CCBotpartly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBotpartly
- Claude-SearchBotpartly
- PerplexityBot*blocked
- 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-listed.
- Best luxury leisurewear brands for upscale American consumers
- Are there seasonal sales for premium lifestyle and leisure clothing brands in the US?
- Which premium lifestyle brands offer versatile pieces for travel and relaxation?
- What are the advantages of choosing premium leisure brands over traditional fashion labels?
- How to verify the authenticity of products from luxury American lifestyle groups?
- Best occasions to wear high-end American leisurewear
- What are some emerging US lifestyle brands with premium quality at lower price points?
- What should I do if premium leisure brand apparel doesn't meet quality expectations?
- Where can I find high-quality leisurewear that isn't part of a large lifestyle conglomerate?
- How do American premium lifestyle holding companies differ from mass-market fashion groups?
- Do premium American leisure brands offer better durability than mid-tier alternatives?
- What are the most popular premium lifestyle brand groups in the US?
- Is investing in high-end lifestyle brands worth the price for quality and style?
- Affordable alternatives to American luxury lifestyle holding group brands
- Typical price ranges for upscale American leisure brands
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.