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.
82 of 2,219
its rank by overall score
Place in its category
3rd of 85 credit unions
Closing balance

Named in

9of 60 answers

by 3 of 4 assistants

Statement note

What this means for Wright-Patt Credit Union

AI assistants name Wright-Patt Credit Union in 15% of answers, while the typical company in its sector is named in 0%. Its overall score is 44 out of 100, ranking 82nd of 2,219 companies. The website passes 4 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Wright-Patt Credit Union by name. AI assistants named it in 9 of the 60 answers. Counting only how often it is named, it ranks 51st of 394 in its sector. The typical banking company is named in 0.0% of answers.

Overall score
44Overall score
  • Visibility23
  • Citations4
  • Sentiment88
  • Site quality93
  • AI readiness29
Summary of account
Named by AI in
15.0%
9 of 60 answers
Share of mentions
45.0%
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
9 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

Wright-Patt Credit Union came up on 4 of 15 questions. Open any window to read that answer.

  1. 01Is it worth switching to a credit union for everyday banking and mobile app features?0/4
  2. 02What are practical steps to rebuilding credit using credit union tools and resources?0/4
  3. 03What other types of financial institutions offer personalized financial goal coaching?0/4
  4. 04How do I resolve issues with online banking access at my Ohio credit union?0/4
  5. 05How do interest rates on personal loans from credit unions compare to online-only lenders?0/4
  6. 06Credit union share certificates vs. high-yield savings accounts—what’s better for long-term savings?0/4
  7. 07Are credit unions a good choice for getting low-interest auto loans?0/4
  8. 08What are alternatives to credit unions for free checking accounts in Ohio?0/4
  9. 09Where else can I find auto refinancing options besides local credit unions?0/4
  10. 10What are the best credit union options for checking and savings accounts in Ohio?3/4
  11. 11What should I do if my debit card from my local credit union is declined at an ATM?0/4
  12. 12How do credit unions differ from traditional banks when it comes to home mortgages?0/4
  13. 13Which local banking services offer the most competitive rates for personal loans in Columbus?3/4
  14. 14How can a credit union help me save for my child’s education in Cincinnati?1/4
  15. 15What are typical monthly or annual fees for credit union checking accounts in Dayton?2/4
Total namedOpenAI: 0/15Claude: 3/15Perplexity: 3/15Gemini: 3/15All assistants: 9/60
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 Perplexity actually said

An answer that names the company

Perplexitynamed the company

“What are the best credit union options for checking and savings accounts in Ohio?”

The strongest Ohio credit-union short list is Wright-Patt Credit Union, KEMBA Financial Credit Union, Superior Credit Union, 7 17 Credit Union, and Fremont Federal Credit Union. The best choice depends on whether you prioritize statewide access, high checking yields, branch availability, or low fees.

Credit union · Best for · Why consider it

Wright-Patt Credit Union · Best overall for many Ohio residents · Large Ohio footprint, broad product selection, and generally convenient digital and ATM access.

KEMBA Financial Credit Union · Central Ohio and Columbus …

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
    Day Air Credit Union
    3
  2. 02
    KEMBA Financial Credit Union
    3

Share of mentions

CompanyShare
  1. Wright-Patt Credit Union
    45.0%
  2. KEMBA Financial Credit Union
    35.0%
  3. Day Air Credit Union
    15.0%
  4. Emery Federal Credit Union
    5.0%
  5. Universal 1 Credit Union
    0.0%
  6. Kettering Health Employees 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
    19
  2. 02
    wpcu.coop (its own website)
    11
  3. 03
    cuofohio.org
    8
  4. 04
    experian.com
    8
  5. 05
    monitorbankrates.com
    7
  6. 06
    reddit.com
    6
  7. 07
    moneylion.com
    6
  8. 08
    collegeadvantage.com
    6
  9. 09
    wallethub.com
    5
  10. 10
    mycreditunion.gov
    5

Wright-Patt 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
3/15
Gemini
3/15
Perplexity
3/15
OpenAI
0/15
Market comparisonSection 06

How Wright-Patt 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
23

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

Citations
4

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

Sentiment
88

How positively AI describes the company

Site quality
93

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
44
Ranks 9 of 394. Typical company: 28
Named in answers
15.0%
Ranks 51 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
44
Ranks 3 of 85. Typical company: 31
Named in answers
15.0%
Ranks 9 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?

Not by itself. Wright-Patt 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
25 of 100
  • Markdown negotiationNot met

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

    study: 6.2%
  • llms.txtPartly 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 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 31 of 100 · 97% of checks could run · checked on October 9, 2026 · www.wpcu.coop · 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%
  • Not metHTTP 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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ShareSection 12

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