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.
709 of 2,219
its rank by overall score
Place in its category
34th of 85 credit unions
Closing balance

Named in

1of 60 answers

by 1 of 4 assistants

Statement note

What this means for Dort Financial Credit Union

AI assistants rarely name this credit union, mentioning it in 1 out of 60 answers. In the answers where it appears, Genisys Credit Union, Dow Credit Union, and Michigan State University Federal Credit Union are also named. Its overall score is 34 out of 100, ranking 709th of 2,219. The website passes 4 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Dort Financial Credit Union 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
34Overall score
  • Visibility3
  • Citations0
  • Sentiment100
  • Site quality67
  • AI readiness29
Summary of account
Named by AI in
1.7%
1 of 60 answers
Share of mentions
5.9%
of the mentions of it and its 5 peers
AI readiness
4/14
technical checks passed. Typical for its sector: 3
Rank in its sector
99 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

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

  1. 01Ways to use a credit union for building credit as a young adult0/4
  2. 02What are the average interest rates on car loans from Michigan credit unions?0/4
  3. 03Alternatives to credit unions for personal loans in Michigan0/4
  4. 04What to do if you suspect banking fraud with your credit union account?0/4
  5. 05Credit unions compared to online banks for everyday checking accounts0/4
  6. 06Credit unions vs. traditional banks for auto and home loans in Michigan0/4
  7. 07Best Michigan credit unions for community involvement and local banking1/4
  8. 08Why is my credit union ATM card being declined and how can I resolve it?0/4
  9. 09How to find personal banking services focused on Michigan residents0/4
  10. 10Typical fees for checking and savings accounts at Michigan credit unions0/4
  11. 11Options for community-based banking if you don't qualify for a credit union0/4
  12. 12Best non-profit banking alternatives for Michigan residents0/4
  13. 13How can a credit union help first-time home buyers in Michigan?0/4
  14. 14Do credit unions offer better investment options for members in Michigan?0/4
  15. 15Is joining a Michigan credit union worth it for lower loan rates?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

“Best Michigan credit unions for community involvement and local banking”

… Other Michigan credit unions recognized for their commitment to members include DFCU Financial, Dort Financial Credit Union, Farm Bureau Family Credit Union, Financial Plus Credit Union, and Team One Credit Union.

These credit unions consistently demonstrate their commitment to putting members first and strengthening local communities through philanthropic efforts, financial education, and accessible lending.

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
    Genisys Credit Union
    3
  2. 02
    Dow Credit Union
    1
  3. 03
    Michigan State University Federal Credit Union (MSUFCU)
    1

Share of mentions

CompanyShare
  1. Michigan State University Federal Credit Union (MSUFCU)
    41.2%
  2. Consumers Credit Union (Michigan)
    23.5%
  3. Genisys Credit Union
    17.6%
  4. Dow Credit Union
    11.8%
  5. Dort Financial Credit Union
    5.9%
  6. ELGA 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
    mcul.org
    12
  2. 02
    lmcu.org
    12
  3. 03
    bankrate.com
    11
  4. 04
    michigan.gov
    9
  5. 05
    msgcu.org
    8
  6. 06
    peopledrivencu.org
    7
  7. 07
    communitychoicecu.com
    6
  8. 08
    experian.com
    6
  9. 09
    umcu.org
    6
  10. 10
    en.wikipedia.org
    5

Dort 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
Gemini
0/15
OpenAI
0/15
Perplexity
0/15
Market comparisonSection 06

How Dort 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
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
100

How positively AI describes the company

Site quality
67

How well built the website's own pages are

AI readiness
29

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
34
Ranks 99 of 394. Typical company: 28
Named in answers
1.7%
Ranks 156 of 394. Typical company: 0.0%
AI readiness
29
Ranks 82 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
34
Ranks 32 of 85. Typical company: 31
Named in answers
1.7%
Ranks 46 of 85. Typical company: 3.3%
AI readiness
29
Ranks 12 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?

We could not tell. The website turned away our requests for the files an agent would read. An agent arriving by itself is turned away the same way.

Agent payment protocols
  • x402Not present
  • MPPNot present
  • AP2Not present
  • ACPCould not check
  • UCPCould not check
Interfaces for AI agents
  • MCP Server CardCould not check
  • A2A Agent CardCould not check
  • Agent SkillsCould not check
  • API CatalogCould not check
  • llms.txtNot present
  • 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
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
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 AuthCould not check

    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 CatalogCould not check

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

    study: 1.3%
  • OAuth discoveryCould not check

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

    study: 6.3%
  • OAuth Protected ResourceCould not check

    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 CardCould not check

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.8%
  • A2A Agent CardCould not check

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.2%
  • Agent SkillsCould not check

    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 manifestCould not check

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

    study: 0.2%

Score 35 of 100 · 65% of checks could run · checked on October 9, 2026 · dortonline.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

4 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%
  • 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%
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

  • GPTBotallowed
  • ClaudeBotallowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed

AI search

  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBotallowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed

Answering questions

  • ChatGPT-Userallowed
  • Claude-Userallowed
  • Perplexity-Userallowed
  • DuckAssistBotallowed
  • MistralAI-Userallowed

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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