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Nebraska Furniture Mart

nfm.com · Retail

Ranked 852 of 2,047 companies in the study

35Overall score
  • Visibility10
  • Citations1
  • Sentiment100
  • Site quality63
  • AI readiness21
What this means for Nebraska Furniture Mart

AI assistants name Nebraska Furniture Mart in 6.7% of answers, which is the same as the typical company in the retail sector. Its overall score is 35 out of 100, ranking 852nd of 2,047 companies. The website passes 3 out of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about the retail market: none named Nebraska Furniture Mart. AI assistants named it in 4 of 60 answers (6.7%). The typical retail company is named in 6.7% of answers. By how often it is named, Nebraska Furniture Mart ranks 301 of 640 in its sector.

Named by AI in
6.7%
4 of 60 answers
Share of mentions
13.8%
compared with 5 rivals
AI readiness
3/14
technical checks passed. Typical for its sector: 3
Rank in its sector
283 of 640
by overall score, where the typical retail company scores 34
How Nebraska Furniture Mart 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
10

How often AI assistants name the company

Citations
1

How often AI uses the company's own website as a source

Sentiment
100

How positively AI describes the company

Site quality
63

How well built the website's own pages are

AI readiness
21

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 score35
Ranks 283 of 640. Typical company: 34
Named in answers7%
Ranks 301 of 640. Typical company: 7%
AI readiness21
Ranks 351 of 640. Typical company: 29
What Perplexity actually said

An answer that names the company

“Are there significant savings when purchasing bundled furniture and appliances from large retailers?”

Yes—often, but the savings are real only when you were planning to buy multiple matching items anyway. Large retailers regularly advertise bundle discounts on appliances and furniture, with examples ranging from automatic multi-item discounts like Costco Direct to explicit package savings on kitchen suites and furniture bundles.

The size of the discount varies a lot:

Appliance bundles can save hundreds of dollars, such as Costco Direct’s tiered savings of $100 for 2 items, $200 for 3, up to $400 or more depending on the promo, and LG’s $150 bundle discount on a ra …

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

Also named
RC Willey3Rooms To Go3Big Sandy Superstore2Bob's Discount Furniture2
Share of mentions

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

Bob's Discount Furniture
29.2%
Rooms To Go
20.8%
Nebraska Furniture Mart
16.7%
Big Sandy Superstore
16.7%
RC Willey
12.5%
American Freight (Furniture, Mattress, Appliance)
4.2%
Which AI assistants named the company

Answers naming it, out of answers received

Perplexity
2/15
Claude
1/15
Gemini
1/15
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 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.

To reach level 2:
  • 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.

Can an AI agent buy here?

Not by itself. Nebraska Furniture Mart 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
32 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 93.4%
  • Content SignalsNot met

    Add a Content-Signal line for search, ai-input and ai-train to robots.txt.

    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 25 of 100 · 97% of checks could run · checked on October 3, 2026 · nfm.com · 2,047 companies scanned

See how every company did, and how this was measured.

The checks behind the AI readiness score

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 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
  • Not metExplicit 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 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.

Training AI
  • GPTBotpartly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly
AI search
  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly
Answering questions
  • 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.

Websites the AI used as sources

How many times each website was listed as a source in these answers

justdial.com
43
consumerreports.org
33
consumeraffairs.com
13
homedepot.com
13
costco.com
11
indianretailer.com
9
businessinsider.com
9
apartmenttherapy.com
9
mybobs.com
9
abt.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
  • Are there significant savings when purchasing bundled furniture and appliances from large retailers?
  • How to handle delivery issues when ordering furniture and home electronics from a megastore?
  • What are the best places to buy living room furniture sets for families in the US?
  • How does shopping at a home goods superstore compare to small local furniture shops?
  • Best alternatives to one-stop home retailers for finding unique home decor pieces
  • Are large home goods retailers reliable for purchasing high-ticket electronics?
  • How do prices at multi-category home retailers compare to online-only stores for appliances?
  • What should I do if my new appliance purchased from a large home store stops working within a month?
  • Alternatives to shopping at mega home goods stores for affordable dining sets
  • Which type of retailer is best for furnishing an entire house on a moderate budget?
  • Is it worth buying a bedroom set and major appliances from the same retailer?
  • Top-rated stores for purchasing both kitchen appliances and mattresses together
  • Major appliance retailer vs specialty electronics store: which is better for home entertainment systems?
  • What are recommended shopping tips for outfitting both a living room and kitchen from a single retailer?
  • Where can I find the largest selection of furniture, appliances, and electronics under one roof 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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Overall score 35 of 100 badge for Nebraska Furniture Mart

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