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
CC
Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
1,112 of 2,219
its rank by overall score
Place in its category
51st of 85 credit unions
Closing balance

Named in

0of 60, its tower is dark

by 0 of 4 assistants

Statement note

What this means for Corporate Central Credit Union

AI assistants do not name this credit union in any of their 60 answers about the banking market. Its overall score is 28 out of 100, which is the same as the typical company in its sector, ranking 1,112th of 2,219. The website passes 6 out of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Corporate Central Credit Union by name. AI assistants named it in none of the 60 answers. Counting only how often it is named, it ranks 188th 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
28Overall score
  • Visibility0
  • Citations1
  • Sentiment50
  • Site quality80
  • AI readiness43
Summary of account
Named by AI in
0.0%
0 of 60 answers
Share of mentions
0.0%
of the mentions of it and its 5 peers
AI readiness
6/14
technical checks passed. Typical for its sector: 3
Rank in its sector
166 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

Corporate Central Credit Union came up on 0 of 15 questions. Open any window to read that answer.

  1. 01How do ACH payment services compare to traditional wire transfers for credit unions?0/4
  2. 02Liquidity management vs. investment solutions for credit union portfolios0/4
  3. 03Ways credit unions can leverage payment solutions to streamline operations0/4
  4. 04How do credit unions resolve delays in inter-institutional wire transfers?0/4
  5. 05What is the average cost structure for credit union lending options platforms?0/4
  6. 06Common issues credit unions face with real-time payment integration0/4
  7. 07Is it worth it for a mid-sized credit union to use an external provider for item processing?0/4
  8. 08Where can credit unions access robust technology solutions for back-office support?0/4
  9. 09Alternatives to using centralized item processing for credit unions0/4
  10. 10What are other options besides ACH for credit union member payments?0/4
  11. 11What are the top liquidity solutions for credit unions in the US?0/4
  12. 12Typical fees for liquidity services offered to US credit unions0/4
  13. 13How can student loan programs support member retention for credit unions?0/4
  14. 14Are technology platforms for payment processing cost-effective for small credit unions?0/4
  15. 15Best investment vehicles for credit unions to manage excess funds0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 0/15All assistants: 0/60
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 Gemini actually said

The company is not named in this answer

Geminidid not name the company

“Best investment vehicles for credit unions to manage excess funds”

Credit unions have various investment vehicles available to manage excess funds, ranging from short-term, high-yield options to more complex strategies designed for long-term growth and specific financial goals. The best choice often depends on the credit union's liquidity needs, risk tolerance, and regulatory compliance.

I. Core Cash Management & Short-Term Investments:

Share Accounts: These are fundamental and widely used by credit unions.

Premium Share Account (PSA): An example of a share account designed to offer competitive returns. vfccu.org …

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.

Share of mentions

CompanyShare
  1. Vizo Financial Corporate Credit Union
    100.0%
  2. Corporate Central Credit Union
    0.0%
  3. Alloya Corporate Federal Credit Union
    0.0%
  4. Catalyst Corporate Federal Credit Union
    0.0%
  5. Corporate America Credit Union
    0.0%
  6. TruStage Corporate (formerly CUNA Mutual Group Corporate Solutions)
    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
    ncua.gov
    13
  2. 02
    cumanagement.com
    12
  3. 03
    creditunions.com
    11
  4. 04
    repay.com
    11
  5. 05
    catalystcorp.org
    8
  6. 06
    cuinsight.com
    7
  7. 07
    vfccu.org
    6
  8. 08
    publishedguides.ncua.gov
    5
  9. 09
    fiserv.com
    4
  10. 10
    alacriti.com
    4

Corporate Central Credit Union is in the study as a credit union.

By assistantSection 05

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
Market comparisonSection 06

How Corporate Central Credit Union 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
0

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

Citations
1

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

Sentiment
50

How positively AI describes the company

Site quality
80

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.

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
28
Ranks 166 of 394. Typical company: 28
Named in answers
0.0%
Ranks 188 of 394. Typical company: 0.0%
AI readiness
43
Ranks 8 of 394. Typical company: 29
Against its categorySection 08

Compared with credit unions

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

Overall score
28
Ranks 47 of 85. Typical company: 31
Named in answers
0.0%
Ranks 51 of 85. Typical company: 3.3%
AI readiness
43
Ranks 1 of 85. 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 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 check out here?

Not by itself. Corporate Central Credit Union 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.txtPublished
  • WebMCPCould not check
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: 86.1%
  • SitemapPassed

    An XML sitemap listing the pages, ideally referenced from robots.txt.

    study: 87.9%
  • Link headersNot met

    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
100 of 100
  • Markdown negotiationPassed

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

    study: 6.2%
  • llms.txtPassed

    An llms.txt that tells language models what the site offers.

    study: 31.0%
Bot access control
32 of 100
  • AI bot rulesPartly 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.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: 0.8%
  • 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 47 of 100 · 97% of checks could run · checked on October 9, 2026 · corpcu.com · 2,200 companies scanned

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

AI readinessSection 10

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: 85.1%
  • PassedXML sitemapstudy: 79.4%
  • Not metHTTP Link headers (RFC 8288)study: 42.5%

Content Accessibility

  • PassedMarkdown content negotiationstudy: 7.4%
  • Passedllms.txt publishedstudy: 28.1%
  • PassedToken budget (page weight)study: 97.3%

Bot Access Control

  • PassedExplicit 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%
AI crawlersSection 11

What AI crawlers may read (robots.txt)

This website sets rules for 4 AI crawlers by name. All others follow its general rules.

Training AI

  • GPTBot*blocked
  • ClaudeBot*blocked
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespider*blocked
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly

AI search

  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBot*blocked
  • 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.

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