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Fortunoff

fortunoffbys.com · Retail

Ranked 1,831 of 2,047 companies in the study

25Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality67
  • AI readiness43
What this means for Fortunoff

AI assistants do not name Fortunoff in any of their answers to questions about the retail sector, while the typical company in this sector is named in 6.7% of answers. Fortunoff has an overall score of 25 out of 100, ranking 1,831st of 2,047 companies. Its website passes 6 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about the retail market: none named Fortunoff. AI assistants named it in none of 60 answers. The typical retail company is named in 6.7% of answers. By how often it is named, Fortunoff ranks 503 of 640 in its sector.

Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its rivals.

Named by AI in
0.0%
0 of 60 answers
Share of mentions
0.0%
compared with 5 rivals
AI readiness
6/14
technical checks passed. Typical for its sector: 3
Rank in its sector
550 of 640
by overall score, where the typical retail company scores 34
How Fortunoff 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
0

How often AI assistants name the company

Citations
0

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

Sentiment
50

How positively AI describes the company

Site quality
67

How well built the website's own pages are

AI readiness
43

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 score25
Ranks 550 of 640. Typical company: 34
Named in answers0%
Ranks 503 of 640. Typical company: 7%
AI readiness43
Ranks 124 of 640. Typical company: 29
What Claude actually said

The company is not named in this answer

“Top-rated outdoor dining furniture for backyard entertaining in the US”

I'll search for information about top-rated outdoor dining furniture for backyard entertaining in the US.Let me search for more specific information about highly-rated brands and options.Based on my research, here's a comprehensive guide to top-rated outdoor dining furniture for backyard entertaining in the US:

Top Brands and Options

Trusted outdoor furniture brands include Polywood, Frontgate, Article and West Elm.

Luxury & High-End Options

Tropitone: A leader in luxury outdoor furniture commonly found at high-end resorts and hotels, known for sleek aluminum frames and plush ou …

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

Named instead
Frontgate2Outer1
Share of mentions

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

Frontgate
40.0%
Wayfair Patio Furniture
40.0%
Outer
20.0%
Fortunoff
0.0%
PatioLiving
0.0%
Patio Furniture USA
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Claude
0/15
Gemini
0/15
OpenAI
0/15
Perplexity
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
Can an AI agent buy here?

Yes. Fortunoff publishes a UCP profile, a file that tells an AI agent how to buy, and it includes checkout.

  • UCPPublished
  • ACPNot present
  • AP2Not present
  • x402Not present
  • MPPNot present

The shop runs on BigCommerce.

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
50 of 100
  • Markdown negotiationPassed

    Requests sent with Accept: text/markdown receive a markdown version of the page.

    study: 1.9%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

    study: 25.1%
Bot access control
63 of 100
  • AI bot rulesPassed

    Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.

    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 43 of 100 · 97% of checks could run · checked on October 5, 2026 · fortunoffbys.com · 2,047 companies scanned

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

The checks behind the AI readiness score

6 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%
  • PassedHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • PassedMarkdown content negotiationstudy: 8.3%
  • Not metllms.txt publishedstudy: 21.7%
  • PassedToken budget (page weight)study: 95.2%
Bot Access Control
  • PassedExplicit 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 rules for 17 AI crawlers by name. All others follow its general rules.

Training AI
  • GPTBot*partly
  • ClaudeBot*partly
  • Anthropic-AI*partly
  • Google-Extended*partly
  • Applebot-Extended*partly
  • Meta-ExternalAgent*partly
  • FacebookBot*partly
  • Bytespider*blocked
  • CCBot*partly
  • Diffbot*partly
  • Omgilibot*partly
AI search
  • OAI-SearchBot*partly
  • Claude-SearchBotpartly
  • PerplexityBot*partly
  • Applebot*partly
  • Amazonbot*partly
  • YouBot*partly
Answering questions
  • ChatGPT-User*partly
  • 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

forbes.com
21
lowes.com
19
homedepot.com
15
target.com
10
thespruce.com
10
purpleleafshop.com
9
hgtv.com
9
amazon.com
9
palmcasual.com
8
polywood.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 (0 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Is investing in high-end outdoor sectionals worth the cost for frequent use?
  • Should I buy patio furniture during end-of-season clearance sales?
  • Top-rated outdoor dining furniture for backyard entertaining in the US
  • How do teak and polymer outdoor chairs compare for weather resistance?
  • What is the average price range for quality backyard furniture sets in the US?
  • How do I stop my outdoor chaise lounges from fading in the sun?
  • Wicker vs aluminum patio furniture—pros and cons for durability and maintenance
  • How can I choose the right umbrellas for a shaded outdoor dining area?
  • Alternatives to traditional patio sectionals for flexible backyard seating
  • Best way to fix a wobbly patio dining table
  • What are some budget-friendly options besides teak for outdoor dining sets?
  • What type of patio seating works best for small backyard spaces?
  • What to consider if looking for eco-friendly materials in backyard furniture?
  • What are the best patio furniture sets for families with young kids?
  • Are premium Adirondack chairs really more expensive than standard patio chairs?
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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