- Visibility23
- Citations0
- Sentiment79
- Site quality73
- AI readiness43
AI assistants name Burlington in 30% of answers, much more often than the typical company in its sector. Its overall score is 39 out of 100, ranking 449th of 2,047 companies. The website passes 4 of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the retail market: none named Burlington. AI assistants named it in 18 of 60 answers (30.0%). The typical retail company is named in 6.7% of answers. By how often it is named, Burlington ranks 88 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
“Is it worth shopping at off-price department stores for name-brand clothing?”
Shopping at off-price department stores for name-brand clothing can be a worthwhile endeavor, especially for those seeking designer items at a reduced cost. However, it's important to be aware of both the advantages and potential drawbacks.
Benefits of Shopping at Off-Price Department Stores:
Affordability and Access to Premium Brands: Off-price retailers offer significant discounts, typically 20% to 60% below original retail prices, making high-quality, name-brand, and even designer fashion more accessible. Some stores, like Burlington, can offer up to 70% off apparel items. …
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. Burlington 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.txtNot 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%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 25 of 100 · 97% of checks could run · checked on October 5, 2026 · www.burlington.com · 2,047 companies scanned
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 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%
- PassedExplicit 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 rules for 9 AI crawlers by name. All others follow its general rules.
- GPTBot*blocked
- ClaudeBot*blocked
- Anthropic-AI*blocked
- Google-Extendedpartly
- Applebot-Extendedpartly
- Meta-ExternalAgentpartly
- FacebookBotpartly
- Bytespider*blocked
- CCBot*blocked
- Diffbotpartly
- Omgilibot*blocked
- OAI-SearchBotpartly
- Claude-SearchBotpartly
- PerplexityBot*blocked
- Applebot*blocked
- Amazonbotpartly
- YouBot*blocked
- 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 45 on the NRF Top 100 Retailers 2026 list, ranked by US retail sales.
- Is it worth shopping at off-price department stores for name-brand clothing?
- What should I do if I can't locate a specific brand or item at an off-price retailer?
- Do off-price retailers really offer better value on home essentials compared to regular stores?
- Where can I shop for discounted back-to-school clothes for kids?
- Where can I find the best deals on brand-name clothing and home goods for less?
- What are the top-rated off-price department stores for affordable fashion in the US?
- What is the difference between shopping at a traditional department store vs an off-price retailer?
- How do off-price department stores compare to outlet malls for discounted apparel and home decor?
- Which online options provide similar discounts to off-price department stores on home decor?
- How much do prices at off-price department stores typically differ from traditional retail?
- What are good places to find affordable home accents during the fall season?
- Where else can value-conscious shoppers buy clearance designer fashion in-store?
- What are some alternatives to off-price department stores for finding deals on brand-name items?
- Why are some sizes hard to find at off-price department stores?
- Are there certain seasons when off-price retailers have bigger markdowns on 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.
A badge of this result that you can show on your own website. Copy the code below.
<a href="https://aeo-audit.rezolve.com/us/burlington.com"><img src="https://aeo-audit.rezolve.com/us/badges/burlington.com.svg" alt="Overall score 39 of 100, US AI Visibility Study 2026" width="280" height="64"></a>