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White House Black Market

whitehouseblackmarket.com · Retail

Ranked 1,263 of 2,047 companies in the study

30Overall score
  • Visibility2
  • Citations1
  • Sentiment50
  • Site quality93
  • AI readiness29
What this means for White House Black Market

AI assistants rarely name White House Black Market: it appears in 1 of 60 answers. In the one answer where it is mentioned, J.Crew, Banana Republic, and Ann Taylor are also named. The company has an overall score of 30 out of 100, ranking 1,263rd of 2,047 companies. Its website passes 4 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about the retail market: none named White House Black Market. AI assistants named it in 1 of 60 answers (1.7%). The typical retail company is named in 6.7% of answers. By how often it is named, White House Black Market ranks 431 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
1.7%
1 of 60 answers
Share of mentions
2.2%
compared with 5 rivals
AI readiness
4/14
technical checks passed. Typical for its sector: 3
Rank in its sector
412 of 640
by overall score, where the typical retail company scores 34
How White House Black Market 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
2

How often AI assistants name the company

Citations
1

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

Sentiment
50

How positively AI describes the company

Site quality
93

How well built the website's own pages are

AI readiness
29

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 score30
Ranks 412 of 640. Typical company: 34
Named in answers2%
Ranks 431 of 640. Typical company: 7%
AI readiness29
Ranks 222 of 640. Typical company: 29
What Perplexity actually said

An answer that names the company

“Where can I find stylish petite dresses for work?”

You can find stylish petite work dresses at retailers with dedicated petite workwear sections like Karen Millen, Macy’s, Nordstrom, Hobbs, Banana Republic, and Ann Taylor.

A few especially useful options:

Karen Millen — offers a dedicated petite work dresses collection with polished, weekday-ready styles.

Macy’s — has a petite work dresses category plus a broader petite business casual/workwear section.

Nordstrom — carries work petite dresses and lets you filter petite dresses by work occasion.

Hobbs — has a petite workwear …

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

Also named
J.Crew8Banana Republic6Ann Taylor4LOFT2Express1
Share of mentions

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

J.Crew
26.8%
Ann Taylor
24.4%
Banana Republic
22.0%
LOFT
19.5%
Express
4.9%
White House Black Market
2.4%
Which AI assistants named the company

Answers naming it, out of answers received

Perplexity
1/15
Claude
0/15
Gemini
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. White House Black Market 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
50 of 100
  • Markdown negotiationNot met

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

    study: 1.9%
  • llms.txtPassed

    An llms.txt that tells language models what the site offers.

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

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

The checks behind the AI readiness score

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 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%
  • Passedllms.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

businessinsider.com
23
macys.com
21
reddit.com
13
whowhatwear.com
10
nordstrom.com
10
nypost.com
7
harpersbazaar.com
6
stitchfix.com
6
chicos.com
6
sumissura.com
5

In the study as US retailers: listed as a retailer in Wikidata, a public database, and among the websites Cloudflare Radar ranks as visited.

Every question, and where the company came up (1 of 15)
QuestionOpenAIClaudePerplexityGemini
  • What should I do if my work dress keeps riding up during the day?
  • What's the difference between petite clothing and regular sizes in women's fashion?
  • How does business casual clothing compare to formal office wear for women?
  • Where can I find stylish petite dresses for work?
  • What are some alternatives to traditional workwear for a more modern office look?
  • Is it worth investing in higher-end women's accessories over fast fashion options?
  • What clothing stores offer a wide selection of versatile pieces for a capsule wardrobe?
  • How much should I expect to pay for quality women's petite dresses?
  • Why do some women's pants gape at the waist and how can you fix that?
  • Where can I shop for women's accessories that pair well with monochrome outfits?
  • Are premium-priced women's work outfits worth it for building a versatile wardrobe?
  • What are some polished outfit ideas for a business meeting?
  • How can I style black and white attire for a cocktail party?
  • What is the price range for women's business casual outfits in the US?
  • What are the best stores for business casual women's clothing in the US?
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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