- Visibility22
- Citations2
- Sentiment77
- Site quality87
- AI readiness21
AI assistants name J. C. Penney in 21.7% of answers, which is much more often than the typical company in the retail sector. Its overall score is 39 out of 100, ranking 460th of 2,047 companies. The J. C. Penney website passes 3 out of 14 technical checks for readiness for AI tools.
We asked 15 unbranded questions about the retail market: none named J. C. Penney. AI assistants named it in 13 of 60 answers (21.7%). The typical retail company is named in 6.7% of answers. By how often it is named, J. C. Penney ranks 138 of 640 in its sector.
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.
640 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“What is the typical price range for women's dresses at US department stores?”
I can provide you with general information about women's dress pricing at US department stores based on common knowledge.
At typical US department stores, women's dresses generally fall into these price ranges:
Budget/Fast Fashion: $20-$60 (stores like Target, Walmart, H&M)
Mid-Range: $60-$150 (most major department stores like Macy's, Nordstrom, Kohl's, JCPenney)
Designer/Premium: $150-$300+ (higher-end sections at Nordstrom, Saks Fifth Avenue, Bloomingdale's)
Luxury: $300-$1,000+ (designer boutiques and luxury department stores)
The price varies based on several fa …
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 0: Not yet agent-ready. Agents struggle to find basic information about the site.
- 2 of robots.txt, Sitemap, Link headers
Not by itself. J. C. Penney 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 teamHide the checks
- study: 92.0%robots.txtNot met
Publish a valid robots.txt with crawl rules and a Sitemap line.
- study: 86.8%SitemapNot met
Serve an XML sitemap and reference it 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 rulesNot 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 0 of 100 · 97% of checks could run · checked on October 5, 2026 · www.jcpenney.com · 2,047 companies scanned
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 checksHide them
- Passedrobots.txt publishedstudy: 85.0%
- PassedXML sitemapstudy: 73.2%
- Not metHTTP 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%
- Not metExplicit 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 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.
- GPTBotpartly
- ClaudeBotpartly
- Anthropic-AIpartly
- Google-Extendedpartly
- Applebot-Extendedpartly
- Meta-ExternalAgentpartly
- FacebookBotpartly
- Bytespiderpartly
- CCBotpartly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBotpartly
- Claude-SearchBotpartly
- PerplexityBotpartly
- 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 Consumer brands. Number 77 on the NRF Top 100 Retailers 2026 list, ranked by US retail sales.
- What is the typical price range for women's dresses at US department stores?
- What should I do if my store pickup order for home goods wasn’t ready on time?
- Where can I find value-focused stores with deals on apparel and bedding for the whole family?
- What are the best department stores for affordable family clothing and home goods in the US?
- Where else can I shop for discounted home decor outside of large department stores?
- Which stores offer both online and in-store shopping for budget-friendly shoes and accessories?
- What are some alternatives to department stores for finding affordable men’s shirts and denim?
- How can I return items bought online to a physical department store location?
- What’s the best way to shop for coordinated bedding and bath sets for a new apartment?
- Is shopping at an omnichannel department store worth it for back-to-school clothes?
- What are the differences between shopping at a traditional department store and an online-only retailer for clothes and accessories?
- How do department stores compare to specialty retailers for home decor and kitchenware?
- How can families save money when shopping for holiday apparel and gifts at department stores?
- How can I find the biggest discounts on seasonal clearance at major department stores?
- Are department stores a good place to buy affordable jewelry and beauty products?
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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<a href="https://aeo-audit.rezolve.com/us/jcpenney.com"><img src="https://aeo-audit.rezolve.com/us/badges/jcpenney.com.svg" alt="Overall score 39 of 100, US AI Visibility Study 2026" width="280" height="64"></a>