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Express

express.com · Retail · EXPR

Ranked 1,081 of 2,047 companies in the study

32Overall score
  • Visibility3
  • Citations1
  • Sentiment75
  • Site quality73
  • AI readiness43
What this means for Express

The AI assistants rarely name Express, mentioning the company in 2 of 60 answers. J.Crew and Banana Republic are also named in these responses. Express has an overall score of 32 out of 100, ranking 1,081st of 2,047 companies. Its website passes 5 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about the retail market: none named Express. 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, Express 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
3.6%
compared with 5 rivals
AI readiness
5/14
technical checks passed. Typical for its sector: 3
Rank in its sector
354 of 640
by overall score, where the typical retail company scores 34
How Express 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
3

How often AI assistants name the company

Citations
1

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

Sentiment
75

How positively AI describes the company

Site quality
73

How well built the website's own pages are

AI readiness
43

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 score32
Ranks 354 of 640. Typical company: 34
Named in answers3%
Ranks 392 of 640. Typical company: 7%
AI readiness43
Ranks 124 of 640. Typical company: 29
What Perplexity actually said

An answer that names the company

“What are the best places to shop for on-trend men's casual shirts in the US?”

For on-trend men’s casual shirts in the US, the best places are Zara, J.Crew, H&M, Express, Nordstrom/Macy’s/Bloomingdale’s, Old Navy, Target, Marshalls, and Amazon. These retailers collectively cover the main style and price tiers, from fast-fashion trend pieces to better-quality basics and designer options.

Zara — strongest for current, fashion-forward silhouettes, relaxed fits, lighter fabrics, and bolder patterns.

J.Crew — good for polished casual shirts, especially if you want a cleaner, classic-but-current look.

H&M — budge …

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

Also named
J.Crew13Banana Republic9Abercrombie & Fitch3
Share of mentions

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

Nordstrom (in-house brands)
29.4%
H&M (U.S.)
25.5%
J.Crew
19.6%
Banana Republic
15.7%
Abercrombie & Fitch
5.9%
Express
3.9%
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. Express 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
63 of 100
  • AI bot rulesPassed

    Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.

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

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

The checks behind the AI readiness score

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 checks
Discoverability
  • Passedrobots.txt publishedstudy: 85.0%
  • PassedXML sitemapstudy: 73.2%
  • PassedHTTP 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
  • PassedExplicit 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 rules for 16 AI crawlers by name. All others follow its general rules.

Training AI
  • GPTBot*partly
  • ClaudeBot*partly
  • Anthropic-AIpartly
  • Google-Extended*partly
  • Applebot-Extended*partly
  • Meta-ExternalAgent*partly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBot*partly
  • Diffbotpartly
  • Omgilibotpartly
AI search
  • OAI-SearchBot*partly
  • Claude-SearchBot*partly
  • PerplexityBot*partly
  • Applebot*partly
  • Amazonbot*partly
  • YouBotpartly
Answering questions
  • ChatGPT-User*partly
  • Claude-User*partly
  • Perplexity-User*partly
  • DuckAssistBot*partly
  • MistralAI-User*partly

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
14
reddit.com
14
nordstrom.com
8
justdial.com
7
bloomingdales.com
7
hockerty.com
7
corporette.com
7
nytimes.com
6
nymag.com
6
macys.com
6

In the study as Consumer brands.

Every question, and where the company came up (2 of 15)
QuestionOpenAIClaudePerplexityGemini
  • How can I fix a stuck zipper on a women's coat without going to a tailor?
  • What options are available for affordable contemporary clothing outside of department stores?
  • How do costs for women's accessories vary at different types of apparel retailers?
  • Is it worth investing in premium dress pants for everyday office looks?
  • What are the best places to shop for on-trend men's casual shirts in the US?
  • What are good alternatives to US mall-based fashion retailers for trendy workwear?
  • Which online shops offer styles similar to popular US casual fashion retailers?
  • What should I do if my new casual pants shrink after washing?
  • What should men wear for a smart-casual dinner event in the spring?
  • Are seasonal sales the best time to buy high-quality women's jackets in the US?
  • What is the typical price range for men's suits in mid-range US apparel stores?
  • How can I style women's sweaters for both work and weekend outings?
  • What's the difference between women's blazers and suit jackets for professional wear?
  • How do men's chinos compare to jeans for business-casual outfits?
  • Where can I find contemporary dresses suitable for both work and social events?
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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