- Visibility5
- Citations0
- Sentiment67
- Site quality87
- AI readiness50
AI assistants name Dillard's in 5% of answers, which is slightly less often than the typical company in retail at 6.7%. Its overall score is 34 out of 100, ranking 927th of 2,047 companies. The website passes 5 of 14 technical checks showing some readiness for AI tools.
We asked 15 unbranded questions about the retail market: none named Dillard's. AI assistants named it in 3 of 60 answers (5.0%). The typical retail company is named in 6.7% of answers. By how often it is named, Dillard's ranks 339 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 are typical price ranges for branded handbags at US department stores?”
Short answer — typical price bands you’ll see for branded handbags at major U.S. department stores (Macy’s, Nordstrom, Bloomingdale’s, Dillard’s, Saks OFF 5TH, etc.):
Budget / mass-market brands: about $30–$150
(brands sold in department stores or their online marketplaces; small crossbodies, tote knockoffs, seasonal styles)
Accessible designer / “everyday” designer: about $150–$500
(examples: Michael Kors, Coach entry-level styles, Kate Spade small bags, Rebecca Minkoff)
Contemporary / mid‑premium designer: about $300–$800
(larger Coach styles, Tory Burch, Marc Jacobs, ni …
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 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.
- Content Signals
Not by itself. Dillard's 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.txtPassed
A valid robots.txt with crawl rules at the site root.
- study: 86.8%SitemapPassed
An XML sitemap listing the pages, ideally referenced 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.txtPartly met
Publish an llms.txt with a short summary and the key links.
- study: 93.4%AI bot rulesPartly 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%WebMCPNot met
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 30 of 100 · 100% of checks could run · checked on October 5, 2026 · www.dillards.com · 2,047 companies scanned
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 checksHide them
- Passedrobots.txt publishedstudy: 85.0%
- PassedXML sitemapstudy: 73.2%
- PassedHTTP Link headers (RFC 8288)study: 29.0%
- Not metMarkdown content negotiationstudy: 8.3%
- Passedllms.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 73 on the NRF Top 100 Retailers 2026 list, ranked by US retail sales.
- Are department stores good places to find high-quality bedding at a reasonable price?
- Best department stores in the US for affordable family apparel and home goods
- Department store vs specialty retailer for buying cosmetics
- What are typical price ranges for branded handbags at US department stores?
- Where can I shop in person for both everyday basics and designer labels in the same place?
- Best places to shop for kids’ back-to-school essentials in one trip
- How to handle returns for home goods purchased at a department store
- Where to shop for a wide range of beauty products and accessories under one roof
- Where can I find dresses for a formal event at short notice?
- What are some good options besides department stores for buying beauty products?
- Is it worth buying designer shoes from a department store clearance event?
- Alternatives to department stores for shopping home decor
- Differences between shopping at a department store versus an online marketplace for kids’ clothing
- What should you do if you can’t find your size in-store at a department store?
- How do department store sale prices compare to outlet malls for clothing?
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/dillards.com"><img src="https://aeo-audit.rezolve.com/us/badges/dillards.com.svg" alt="Overall score 34 of 100, US AI Visibility Study 2026" width="280" height="64"></a>