- Visibility21
- Citations1
- Sentiment86
- Site quality80
- AI readiness14
AI assistants name Bergdorf Goodman in 23.3% of answers, much more often than the typical retail company at 6.7%. Its overall score is 38 out of 100, ranking 538th of 2,047 companies. The website passes 2 of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the retail market: none named Bergdorf Goodman. AI assistants named it in 14 of 60 answers (23.3%). The typical retail company is named in 6.7% of answers. By how often it is named, Bergdorf Goodman ranks 126 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
“Luxury department store vs luxury boutique shopping — what's the difference in selection and experience?”
Luxury department stores and luxury boutiques both offer high-end shopping experiences, but they differ significantly in their selection and overall atmosphere.
Selection:
Luxury Department Stores:
Vast Brand Assortment: Department stores like Bergdorf Goodman, Saks Fifth Avenue, Neiman Marcus, and Harrods house a wide array of renowned luxury brands across various categories, including clothing, accessories, beauty, and home goods. You can find iconic brands such as Chanel, Gucci, Louis Vuitton, Versace, Saint Laurent, and Tom Ford all under one roof.
Extensive Invento …
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
The website turns away requests that do not come from a browser. AI agents that say what they are meet the same refusal.
We could not tell. The website turned away our requests for the files an agent would read. An agent arriving by itself is turned away the same way.
- UCPNot present
- ACPCould not check
- AP2Not present
- x402Not present
- MPPCould not check
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 rulesPassed
Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.
- 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.mdCould not check
Publish an auth.md describing how agents sign in.
- study: 0.2%MCP Server CardCould not check
Offer an MCP server and publish its server card under /.well-known.
- study: 0.1%A2A Agent CardCould not check
Publish an agent card at /.well-known/agent-card.json.
- study: 0.2%Agent SkillsCould not check
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 manifestCould not check
Publish an ai-catalog.json listing every agent interface.
Score 39 of 100 · 80% of checks could run · checked on October 4, 2026 · www.bergdorfgoodman.com · 2,047 companies scanned
2 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
- Not metrobots.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%
How many times each website was listed as a source in these answers
In the study as US retailers: listed as a retailer in Wikidata, a public database, and among the websites Cloudflare Radar ranks as visited.
- Are curated edits at luxury retailers better for discovering seasonal trends?
- What should I do if my order from a luxury department store arrives damaged or incomplete?
- Luxury department store vs luxury boutique shopping — what's the difference in selection and experience?
- What are the best alternatives to shopping at luxury department stores for high-end fashion?
- Does purchasing from a multi-brand luxury store offer better after-sales service and returns?
- Is shopping at a luxury department store worth it for unique designer finds?
- Where can I shop high-end accessories and lifestyle goods for both men and women?
- What are the best luxury department stores for finding exclusive designer fashion in the US?
- What kind of special offers, rewards, or loyalty programs do luxury department stores typically provide?
- What are the top destinations for curated collections from emerging luxury designers?
- What are the best places to discover designer collections for seasonal wardrobe updates?
- How do online luxury department stores compare to their in-store experiences?
- How do prices at luxury multi-brand retailers compare to purchasing directly from designers?
- Where can I shop for statement pieces and exclusive capsule collections in the US?
- Multi-brand luxury retailers vs brand flagship stores: which offers more variety and perks?
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/bergdorfgoodman.com"><img src="https://aeo-audit.rezolve.com/us/badges/bergdorfgoodman.com.svg" alt="Overall score 38 of 100, US AI Visibility Study 2026" width="280" height="64"></a>