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 to 14, 2026
when the AI assistants were asked
Account no.
838 of 2,219
its rank by overall score
Place in its category
42nd of 85 credit unions
Closing balance

Named in

2of 60 answers

by 2 of 4 assistants

Statement note

What this means for TruStone Financial Credit Union

AI assistants rarely name this credit union in answers to everyday market questions, with 2 answers out of 60 mentioning it. Its overall score is 31 out of 100, ranking 838th of 2,219 companies in the study. Its website passes 5 out of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned TruStone Financial Credit Union by name. AI assistants named it in 2 of the 60 answers. Counting only how often it is named, it ranks 136th 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
31Overall score
  • Visibility8
  • Citations0
  • Sentiment50
  • Site quality87
  • AI readiness36
Summary of account
Named by AI in
3.3%
2 of 60 answers
Share of mentions
25.0%
of the mentions of it and its 5 peers
AI readiness
5/14
technical checks passed. Typical for its sector: 3
Rank in its sector
125 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

TruStone Financial Credit Union came up on 1 of 15 questions. Open any window to read that answer.

  1. 01Can you get business loans for startups through a credit union in Minnesota?0/4
  2. 02Credit unions vs traditional banks for home loans—what are the key differences?0/4
  3. 03How do interest rates on credit union certificates of deposit compare to those at regional banks?0/4
  4. 04What alternatives are there to using a credit union for personal banking services?0/4
  5. 05How do I resolve issues accessing digital banking with a credit union after a password reset?0/4
  6. 06Why might my credit union debit card transaction be declined at an ATM?0/4
  7. 07Is opening a high-yield savings account at a credit union worth it compared to a money market account?0/4
  8. 08What features should I look for when choosing a digital banking platform at a credit union?0/4
  9. 09What are the best credit unions in Minnesota for small business checking accounts?2/4
  10. 10What types of auto loans do credit unions typically offer to members?0/4
  11. 11Which credit unions offer the most competitive rates for personal savings accounts?0/4
  12. 12Options for small business owners besides credit unions for affordable financial services?0/4
  13. 13What are the usual monthly fees for checking accounts at credit unions in the Midwest?0/4
  14. 14Are credit union personal loans a good choice for first-time borrowers?0/4
  15. 15How do credit union business checking accounts compare to those at online-only financial institutions?0/4
Total namedOpenAI: 1/15Claude: 1/15Perplexity: 0/15Gemini: 0/15All assistants: 2/60
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 OpenAI actually said

An answer that names the company

OpenAInamed the company

“What are the best credit unions in Minnesota for small business checking accounts?”

… TruStone Financial (and other large state credit unions) — known for competitive rates, business checking and lending options, and statewide membership eligibility. (Check local branch availability for cash deposits.) (cuscore.org)

Heartland Credit Union — offers tiered business checking products (including accounts for higher-volume businesses) and participates in shared networks. Good for businesses needing more transaction capacity. (heartlandcu.com)

Mid Minnesota Fede …

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
    Affinity Plus Federal Credit Union
    3
  2. 02
    Wings Financial Credit Union
    2

Share of mentions

CompanyShare
  1. Affinity Plus Federal Credit Union
    50.0%
  2. TruStone Financial Credit Union
    25.0%
  3. Wings Financial Credit Union
    25.0%
  4. Spire Credit Union
    0.0%
  5. Firefly Credit Union (now part of Hiway Credit Union)
    0.0%
  6. TopLine Federal Credit Union
    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
    bankrate.com
    10
  2. 02
    investopedia.com
    8
  3. 03
    experian.com
    7
  4. 04
    cnbc.com
    6
  5. 05
    nerdwallet.com
    6
  6. 06
    wsj.com
    5
  7. 07
    mymagnifi.org
    5
  8. 08
    forbes.com
    4
  9. 09
    bluevine.com
    4
  10. 10
    heartlandcu.com
    3

TruStone Financial 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
1/15
OpenAI
1/15
Gemini
0/15
Perplexity
0/15
Market comparisonSection 06

How TruStone Financial 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
8

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
87

How well built the website's own pages are

AI readiness
36

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
31
Ranks 125 of 394. Typical company: 28
Named in answers
3.3%
Ranks 136 of 394. Typical company: 0.0%
AI readiness
36
Ranks 29 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
31
Ranks 41 of 85. Typical company: 31
Named in answers
3.3%
Ranks 42 of 85. Typical company: 3.3%
AI readiness
36
Ranks 5 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. TruStone Financial 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
72 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 86.1%
  • SitemapPartly met

    Serve an XML sitemap and reference it 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
50 of 100
  • Markdown negotiationNot met

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

    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 35 of 100 · 97% of checks could run · checked on October 9, 2026 · trustonefinancial.org · 2,200 companies scanned

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

AI readinessSection 10

The checks behind the AI readiness score

5 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%
  • PassedHTTP Link headers (RFC 8288)study: 42.5%

Content Accessibility

  • Not metMarkdown content negotiationstudy: 7.4%
  • Passedllms.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%
AI crawlersSection 11

What AI crawlers may read (robots.txt)

This website sets no rules for any AI crawler by name, like 86% 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.

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