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Maurices

maurices.com · Retail

Ranked 1,167 of 2,047 companies in the study

31Overall score
  • Visibility4
  • Citations0
  • Sentiment75
  • Site quality73
  • AI readiness29
What this means for Maurices

AI assistants rarely name Maurices, appearing in 2 out of 60 answers. In those same answers, they also name Torrid, Lane Bryant, and Ashley Stewart. Maurices has an overall score of 31 out of 100, ranking 1,167th of 2,047 companies. Its website passes 4 out of 14 technical checks for AI tool compatibility.

We asked 15 unbranded questions about the retail market: none named Maurices. 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, Maurices 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
3.9%
compared with 5 rivals
AI readiness
4/14
technical checks passed. Typical for its sector: 3
Rank in its sector
386 of 640
by overall score, where the typical retail company scores 34
How Maurices 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
4

How often AI assistants name the company

Citations
0

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
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 score31
Ranks 386 of 640. Typical company: 34
Named in answers3%
Ranks 392 of 640. Typical company: 7%
AI readiness29
Ranks 222 of 640. Typical company: 29
What Claude actually said

An answer that names the company

“What price range should I expect for quality plus size denim in the US?”

I'll search for current pricing information on quality plus-size denim in the US.Based on current market data, here's what you can expect for quality plus-size denim in the US:

Overall Price Range: Most shoppers report their sweet spot is $40-$80 per pair.

Budget-Friendly Options:

Budget brands like Maurices typically range from $20-$55 (after discounts), with original prices around $30-$55

Old Navy offers budget-friendly options with no plus-size surcharge

Mid-Range Quality:

In the $40-$80 range, brands like Abercrombie Curve Love, Levi's on sale, and Warp + Weft offer th …

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

Also named
Torrid10Lane Bryant7Ashley Stewart1
Share of mentions

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

Old Navy (Women's Section)
32.6%
Torrid
30.4%
Lane Bryant
21.7%
Ashley Stewart
6.5%
Maurices
4.3%
Catherines
4.3%
Which AI assistants named the company

Answers naming it, out of answers received

Claude
1/15
Perplexity
1/15
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 2: Bot-aware. Explicit AI bot rules and declared Content Signals.

To reach level 3:
  • Markdown negotiation
Can an AI agent buy here?

Not by itself. Maurices 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
100 of 100
  • AI bot rulesPassed

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

    study: 93.4%
  • Content SignalsPassed

    Content-Signal lines in robots.txt declaring search, AI input and AI training preferences.

    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 40 of 100 · 97% of checks could run · checked on October 5, 2026 · www.maurices.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%
  • 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*allowed
  • Applebot-Extended*allowed
  • Meta-ExternalAgent*partly
  • FacebookBotpartly
  • Bytespider*blocked
  • CCBot*partly
  • Diffbotpartly
  • Omgilibot*blocked
AI search
  • OAI-SearchBot*partly
  • Claude-SearchBot*partly
  • PerplexityBot*partly
  • Applebotpartly
  • Amazonbot*partly
  • YouBotpartly
Answering questions
  • ChatGPT-User*partly
  • Claude-User*partly
  • Perplexity-User*partly
  • DuckAssistBot*partly
  • 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
justdial.com
20
macys.com
11
lanebryant.com
10
purewow.com
9
reddit.com
9
eloquii.com
9
forbes.com
9
universalstandard.com
8
nypost.com
8

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 (2 of 15)
QuestionOpenAIClaudePerplexityGemini
  • What are the best affordable women’s fashion retailers with inclusive sizing in the US?
  • Is shopping at inclusive women’s fashion retailers worth it for budget-friendly stylish outfits?
  • Why do some women’s jeans fit differently even when they’re the same size across stores?
  • Where can I find trendy plus size clothing options for women in the US?
  • What US stores offer both petite and plus size collections for women at affordable prices?
  • How can I find the right fit in women’s jackets if standard sizes don’t match my measurements?
  • How can women with curvy figures shop for versatile matching sets for both work and casual wear?
  • What are some alternatives to shopping at large chain women’s apparel retailers for affordable basics?
  • How do specialty denim stores compare to general women’s clothing retailers for fit and sizing?
  • Plus size vs regular size women’s apparel retailers: what are the main differences in style and selection?
  • What price range should I expect for quality plus size denim in the US?
  • What’s the easiest way to build a capsule wardrobe for fall using inclusive women’s fashion retailers?
  • Where else can I buy women’s fashion accessories that cater to a wide range of sizes?
  • Are plus size specialty stores a good choice for finding on-trend seasonal accessories?
  • Are sitewide discounts on women’s clothing stores common during holiday sales 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.

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