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Buckle

buckle.com · Retail · BKE

Ranked 683 of 2,047 companies in the study

37Overall score
  • Visibility7
  • Citations0
  • Sentiment100
  • Site quality80
  • AI readiness21
What this means for Buckle

AI assistants rarely name Buckle, mentioning it in 2 of 60 answers. In those answers, they also mention Abercrombie & Fitch and Lucky Brand. Buckle's overall score is 37 out of 100, ranking 683rd of 2,047 companies, close to the typical company in its sector. The website passes 3 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about the retail market: none named Buckle. AI assistants named it in 2 of 60 answers (3.3%). The typical retail company is named in 6.7% of answers. By how often it is named, Buckle ranks 392 of 640 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.

Named by AI in
3.3%
2 of 60 answers
Share of mentions
12.5%
compared with 5 rivals
AI readiness
3/14
technical checks passed. Typical for its sector: 3
Rank in its sector
217 of 640
by overall score, where the typical retail company scores 34
How Buckle compares with all 2,047 companies

Every dot is a company in the study. Hover one to see it; click to open its report.

This companySame sectorEvery other companyNever named

What makes up the score

Five parts, each scored out of 100.

Visibility
7

How often AI assistants name the company

Citations
0

How often AI uses the company's own website as a source

Sentiment
100

How positively AI describes the company

Site quality
80

How well built the website's own pages are

AI readiness
21

How easily AI tools can read and use the website

Visibility is calculated from the answers on this page. How the score is built.

Compared with retail

640 companies in this sector. The line on each bar is the typical company.

Overall score37
Ranks 217 of 640. Typical company: 34
Named in answers3%
Ranks 392 of 640. Typical company: 7%
AI readiness21
Ranks 351 of 640. Typical company: 29
What Gemini actually said

An answer that names the company

“Best stores for stylish bootcut and wide-leg jeans for women”

For women seeking stylish bootcut and wide-leg jeans, several stores and brands offer a great selection. You can find both high-street favorites and designer options.

Department Stores & Online Retailers:

Nordstrom is an excellent place to find a wide selection of women's jeans, including bootcut and wide-leg styles from various top brands like FRAME, Levi's, AG, Mother, and Good American.

Neiman Marcus offers designer wide-leg jeans from luxury brands.

Bloomingdale's also features a range of designer denim for women, including wide-leg styles.

Buckle provi …

The AI’s answer as we received it, shortened and not checked for accuracy.

Also named
Abercrombie & Fitch2Lucky Brand1
Share of mentions

How the mentions in these answers were split between this company and its rivals

Abercrombie & Fitch
36.4%
Buckle
18.2%
Hollister Co.
18.2%
Lucky Brand
18.2%
Express
9.1%
American Eagle Outfitters
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Gemini
1/15
Perplexity
1/15
Claude
0/15
OpenAI
0/15
Ready for AI agents

What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.

  1. 0
  2. 1
  3. 2
  4. 3
  5. 4
  6. 5

Level 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.

To reach level 2:
  • Content Signals
Can an AI agent buy here?

Not by itself. Buckle 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 team
Discoverability
77 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 92.0%
  • SitemapPassed

    An XML sitemap listing the pages, ideally referenced from robots.txt.

    study: 86.8%
  • Link headersNot met

    Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.

    study: 0.3%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 5.5%
Content accessibility
0 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 1.9%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

    study: 25.1%
Bot access control
32 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 93.4%
  • Content SignalsNot met

    Add a Content-Signal line for search, ai-input and ai-train to robots.txt.

    study: 1.4%
  • Web Bot AuthNot present

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    study: 0.2%
APIs, auth and MCP
0 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 0.3%
  • OAuth discoveryNot met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 11.8%
  • OAuth Protected ResourceNot met

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    study: 10.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.0%
  • MCP Server CardNot met

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.2%
  • A2A Agent CardNot met

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.1%
  • Agent SkillsNot met

    Publish a skills index with the main tasks agents can do.

    study: 0.2%
  • WebMCPCould not check

    Register key actions such as search or cart as WebMCP tools.

    study: 33.7%
  • ARD manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    study: 0.1%

Score 25 of 100 · 97% of checks could run · checked on October 5, 2026 · www.buckle.com · 2,047 companies scanned

See how every company did, and how this was measured.

The checks behind the AI readiness score

3 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 checks
Discoverability
  • Passedrobots.txt publishedstudy: 85.0%
  • PassedXML sitemapstudy: 73.2%
  • Not metHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • Not metMarkdown content negotiationstudy: 8.3%
  • Not metllms.txt publishedstudy: 21.7%
  • PassedToken budget (page weight)study: 95.2%
Bot Access Control
  • Not metExplicit AI bot rulesstudy: 13.0%
API / Auth / MCP
  • 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%
What AI crawlers may read (robots.txt)

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.

Training AI
  • GPTBotpartly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly
AI search
  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly
Answering questions
  • 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.

Websites the AI used as sources

How many times each website was listed as a source in these answers

whowhatwear.com
19
reddit.com
17
justdial.com
9
marieclaire.com
8
nordstrom.com
7
levi.com
7
target.com
7
lemon8-app.com
6
nytimes.com
6
vogue.com
6

In the study as Consumer brands.

Every question, and where the company came up (1 of 15)
QuestionOpenAIClaudePerplexityGemini
  • What types of casual tops pair best with wide leg jeans for a trendy look?
  • What is the average price range for high-quality jeans in US fashion retailers?
  • Is it worth investing in premium denim for everyday casual wear?
  • Do rewards programs at apparel stores offer significant savings on jeans and accessories?
  • What are some options for affordable stylish apparel besides jeans for youthful shoppers?
  • Best shoes to wear with bootcut jeans for men and women
  • How to fix stretched out denim so jeans fit better again?
  • Men’s jeans vs. women’s jeans: What are the main differences in fit and style?
  • Why do some jeans lose their shape after washing, and how can you prevent it?
  • How do straight leg jeans compare to bootcut jeans in terms of versatility?
  • What are the top-rated places in the US to find quality jeans for young adults?
  • Where can I find casual accessories that complement modern denim looks?
  • Are high-quality wide-leg jeans a good choice for work and weekend outfits?
  • Alternatives to classic blue denim for a casual yet fashionable outfit
  • Best stores for stylish bootcut and wide-leg jeans for women
named the companyanswered without naming itdid not answer

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.

Next step

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