Of 60 answers

The most named companies in the study, and S&P 500 financials, with how many of their 60 AI answers named them.

Back to the study
AI visibility statementFinance AI Visibility Study 2026Issued October 14, 2026
Account holder
Statement period
October 9 and 10, 2026
when the AI assistants were asked
Account no.
2,182 of 2,219
its rank by overall score
Place in its category
58th of 61 large national banks
Closing balance

Named in

1of 60 answers

by 1 of 4 assistants

Statement note

What this means for The Norinchukin Bank

AI assistants rarely name this large national bank, mentioning it in just 1 of 60 answers, sometimes alongside CoBank or AgFirst Farm Credit Bank. Its overall score is 19 out of 100, ranking 2,182nd of 2,219 companies. The website passes 1 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned The Norinchukin Bank by name. AI assistants named it in 1 of the 60 answers. Counting only how often it is named, it ranks 156th of 394 in its sector. The typical banking company is named in 0.0% of answers.

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 peers.

Overall score
19Overall score
  • Visibility3
  • Citations0
  • Sentiment50
  • Site quality47
  • AI readiness7
Summary of account
Named by AI in
1.7%
1 of 60 answers
Share of mentions
5.6%
of the mentions of it and its 5 peers
AI readiness
1/14
technical checks passed. Typical for its sector: 3
Rank in its sector
383 of 394
by overall score, where the typical banking company scores 28

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Line itemsSection 01

Every question, and where the company came up

The Norinchukin Bank came up on 1 of 15 questions. Open any window to read that answer.

  1. 01How can agricultural businesses resolve disputes with their cooperative banking service provider?0/4
  2. 02How do agricultural cooperative banks support food production supply chains in the United States?0/4
  3. 03Are there membership fees or other costs involved in joining a cooperative bank for farmers?0/4
  4. 04What are the best cooperative banking services for agricultural businesses in the US?0/4
  5. 05How do cooperative banking services compare to traditional credit unions for fisheries organizations?1/4
  6. 06Which non-profit lending options exist for US forestry or fisheries organizations?0/4
  7. 07How do forestry cooperatives typically access financial support in the US?0/4
  8. 08What is the typical interest rate range for cooperative agricultural loans in the US?0/4
  9. 09What are some alternatives to cooperative banks for agricultural business financing?0/4
  10. 10Is joining an agricultural cooperative bank worth it for a mid-sized farm operation?0/4
  11. 11What types of disaster recovery loans are available through agricultural cooperative banks?0/4
  12. 12What should I do if my cooperative bank loan application is delayed?0/4
  13. 13Are specialized forestry banking services necessary for sustainable woodland management?0/4
  14. 14How can US fisheries use cooperative banking for equipment financing?0/4
  15. 15What's the difference between commercial agricultural loans and cooperative bank loans?0/4
Total namedOpenAI: 0/15Claude: 1/15Perplexity: 0/15Gemini: 0/15All assistants: 1/60
named the companyanswered without naming itdid not answer

Columns, left to right: OpenAI, Claude, Perplexity, Gemini. Across the study, on 50% of the questions where a company is named, only one AI assistant names it.

Transaction detailSection 02

What Claude actually said

An answer that names the company

Claudenamed the company

“How do cooperative banking services compare to traditional credit unions for fisheries organizations?”

… One real-world example exists: Gulf and Fraser Fishermen's Credit Union is a member-owned financial institution in British Columbia, Canada, and provides banking and a variety of financial services including borrowing, investments and financial planning. Additionally, the Norinchukin Bank is a Japanese cooperative bank serving over 5,612 agricultural, fishing and forestry cooperatives.

For fisheries organizations specifically, the choice between cooperative banking services and traditional credit unions would depend on whether you need broader services (including non-member access) or prefe …

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

PayeesSection 03

Where the mentions went

The companies these answers named, and how the mentions were split between this company and its peers.

Also named

CompanyTimes named
  1. 01
    CoBank
    8
  2. 02
    AgFirst Farm Credit Bank
    1

Share of mentions

CompanyShare
  1. CoBank
    55.6%
  2. AgFirst Farm Credit Bank
    27.8%
  3. Farm Credit Mid-America
    11.1%
  4. The Norinchukin Bank
    5.6%
  5. Farmers & Merchants Bank of Central California
    0.0%
  6. AgGeorgia Farm Credit
    0.0%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    en.wikipedia.org
    10
  2. 02
    cobank.com
    9
  3. 03
    rd.usda.gov
    9
  4. 04
    fsa.usda.gov
    9
  5. 05
    fao.org
    8
  6. 06
    fca.gov
    6
  7. 07
    fisheries.noaa.gov
    6
  8. 08
    fs.usda.gov
    5
  9. 09
    agwestfc.com
    4
  10. 10
    farmonaut.com
    4

The Norinchukin Bank is in the study as a large national bank.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Claude
1/15
Gemini
0/15
OpenAI
0/15
Perplexity
0/15
Market comparisonSection 06

How The Norinchukin Bank compares with all 2,219 companies

Every tower is a company in the study, taller for a higher overall score and lit where AI assistants named it. Its own group stays lit. Hover a tower to see it, and click to open it.

What makes up the score

Each part is scored out of 100.

Visibility
3

How often AI assistants name the company, and how that compares with its peers

Citations
0

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

Sentiment
50

How positively AI describes the company

Site quality
47

How well built the website's own pages are

AI readiness
7

How easily AI tools can read and use the website

Visibility is calculated from the answers on this page. How the score is built.

Against its sectorSection 07

Compared with banking companies

394 companies in this sector. The gold tick on each bar is the typical company.

Overall score
19
Ranks 383 of 394. Typical company: 28
Named in answers
1.7%
Ranks 156 of 394. Typical company: 0.0%
AI readiness
7
Ranks 362 of 394. Typical company: 29
Against its categorySection 08

Compared with large national banks

61 companies in this category. The gold tick on each bar is the typical company.

Overall score
19
Ranks 58 of 61. Typical company: 27
Named in answers
1.7%
Ranks 25 of 61. Typical company: 1.7%
AI readiness
7
Ranks 52 of 61. Typical company: 21
AI agentsSection 09

Ready for AI agents

What this website publishes for an AI agent to read, use and pay through, on a scale of six levels.

  1. 0
  2. 1
  3. 2
  4. 3
  5. 4
  6. 5

Level 0: Not yet agent-ready. Agents struggle to find basic information about the site.

To reach level 1:
  • 2 of robots.txt, Sitemap, Link headers

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 check out here?

Not by itself. The Norinchukin Bank publishes none of the agent payment protocols we look for. An agent would have to click through the website like a person.

Agent payment protocols
  • x402Not present
  • MPPNot present
  • AP2Not present
  • ACPNot present
  • UCPNot present
Interfaces for AI agents
  • MCP Server CardNot present
  • A2A Agent CardNot present
  • Agent SkillsNot present
  • API CatalogNot present
  • llms.txtNot present
  • WebMCPCould not check
Show every check, for your technical team
Discoverability
0 of 100
  • robots.txtNot met

    Publish a valid robots.txt with crawl rules and a Sitemap line.

    study: 86.1%
  • SitemapNot met

    Serve an XML sitemap and reference it from robots.txt.

    study: 87.9%
  • Link headersCould not check

    Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.

    study: 1.5%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 4.3%
Content accessibility
0 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 6.2%
  • llms.txtNot met

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

    study: 31.0%
Bot access control
0 of 100
  • AI bot rulesNot met

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

    study: 92.7%
  • Content SignalsNot met

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

    study: 2.3%
  • Web Bot AuthNot present

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    study: 0.3%
APIs, auth and MCP
0 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 1.3%
  • OAuth discoveryNot met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 6.3%
  • OAuth Protected ResourceNot met

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    study: 5.3%
  • auth.mdCould not check

    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: 0.8%
  • 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: 1.0%
  • WebMCPCould not check

    Register key actions such as search or cart as WebMCP tools.

    study: 0.0%
  • ARD manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    study: 0.2%

Score 0 of 100 · 89% of checks could run · checked on October 9, 2026 · www.nochubank.or.jp · 2,200 companies scanned

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

AI readinessSection 10

The checks behind the AI readiness score

1 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

  • Not metrobots.txt publishedstudy: 85.1%
  • Not metXML sitemapstudy: 79.4%
  • Not metHTTP Link headers (RFC 8288)study: 42.5%

Content Accessibility

  • Not metMarkdown content negotiationstudy: 7.4%
  • Not metllms.txt publishedstudy: 28.1%
  • PassedToken budget (page weight)study: 97.3%

Bot Access Control

  • Not metExplicit AI bot rulesstudy: 11.5%

API / Auth / MCP

  • Not metAPI Catalog (.well-known/api-catalog)study: 1.1%
  • Not metOAuth Authorization Server discoverystudy: 5.2%
  • Not metOAuth Protected Resource discoverystudy: 4.6%
  • Not metMCP Server Cardstudy: 0.2%
  • Not metA2A Agent Cardstudy: 0.0%
  • Not metWebMCP toolsstudy: 0.3%
  • Not metAgent Skills declaredstudy: 0.1%
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