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.

SWIFT47/60TRANSUNION46/60EXPERIAN42/60COINSTAR41/60NAVY FEDERAL CREDIT UNION41/60ZELLE41/60BLOOMBERG L.P.38/60TRADINGVIEW38/60BANCO POPULAR DE PUERTO RICO37/60PAYPAL37/60VENMO37/60CHEXSYSTEMS33/60EQUIFAX33/60MORNINGSTAR32/60S&P GLOBAL31/60ALPACA MARKETS30/60COINBASE30/60PINWHEEL29/60STRIPE29/60XERO29/60ACORNS28/60AFFIRM28/60PAYFAST (PAYGATE)28/60PAYONEER28/60INTERACTIVE BROKERS26/60CHARLES SCHWAB19/60THE HARTFORD9/60MOODY'S21/60CME GROUP19/60ACCENTURE11/60CHUBB10/60MORGAN STANLEY6/60AMERICAN EXPRESS14/60SYNCHRONY FINANCIAL12/60FACTSET20/60NASDAQ19/60ALLSTATE11/60WELLS FARGO18/60PAYCHEX10/60ARES MANAGEMENT3/60
Rezolve Ai
MethodDemo
Back to the study
AI visibility statementFinance AI Visibility Study 2026Issued October 14, 2026
Account holder

Hughes Federal Credit Union

hughesfcu.org

Credit unionsBanking

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
825 of 2,219
its rank by overall score
Place in its category
41st of 85 credit unions
Closing balance

Named in

3of 60 answers

by 3 of 4 assistants

Statement note

What this means for Hughes Federal Credit Union

AI assistants name this credit union in 5% of their answers, which is slightly more than the typical company in its sector. Its overall score is 31 out of 100, ranking 825th of 2,219 companies. The website passes 3 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Hughes Federal Credit Union by name. AI assistants named it in 3 of the 60 answers. Counting only how often it is named, it ranks 112th of 394 in its sector. The typical banking company is named in 0.0% of answers.

Overall score
31Overall score
  • Visibility8
  • Citations1
  • Sentiment75
  • Site quality63
  • AI readiness36
Summary of account
Named by AI in
5.0%
3 of 60 answers
Share of mentions
17.6%
of the mentions of it and its 5 peers
AI readiness
3/14
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

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

  1. 01Alternatives to credit unions for low-cost banking services0/4
  2. 02Best credit unions for personal loans in Tucson3/4
  3. 03How can a credit union help with auto loan financing?0/4
  4. 04What financial services do local credit unions offer for small businesses?0/4
  5. 05Other options if I don't qualify for credit union membership0/4
  6. 06What should I do if my credit union debit card is declined?0/4
  7. 07Typical fees for checking accounts at credit unions0/4
  8. 08How to become a member of a credit union in Arizona0/4
  9. 09Are credit unions worth joining for better loan rates?0/4
  10. 10What are average interest rates for personal loans from credit unions?0/4
  11. 11Is it better to get a credit card from a credit union or a bank?0/4
  12. 12Common reasons for loan application denial at a credit union0/4
  13. 13Differences between credit unions and online banks for savings accounts0/4
  14. 14Using a credit union for business banking needs0/4
  15. 15Credit unions vs traditional banks for checking accounts0/4
Total namedOpenAI: 0/15Claude: 1/15Perplexity: 1/15Gemini: 1/15All assistants: 3/60
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

“Best credit unions for personal loans in Tucson”

The strongest Tucson credit-union options to compare are Pima Federal Credit Union, Tucson Federal Credit Union, Hughes Federal Credit Union, and Arizona Central Credit Union. Pima Federal stands out for the broadest advertised loan range—$300 to $50,000, fixed rates, and terms up to 84 months.

Credit union · Why consider it

Pima Federal Credit Union · Fixed-rate personal loans from $300–$50,000, with terms up to 84 months; a strong first choice for larger or longer-term borrowing.

Tucson Federal Credit Union · Local Tucson institution offerin …

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
    Pima Federal Credit Union
    3
  2. 02
    Tucson Federal Credit Union
    3
  3. 03
    Vantage West Credit Union
    1
  4. 04
    Arizona Central Credit Union
    1
  5. 05
    Desert Financial Credit Union
    1

Share of mentions

CompanyShare
  1. Pima Federal Credit Union
    29.4%
  2. Tucson Federal Credit Union
    23.5%
  3. Hughes Federal Credit Union
    17.6%
  4. Vantage West Credit Union
    11.8%
  5. Desert Financial Credit Union
    11.8%
  6. Arizona Central Credit Union
    5.9%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    nerdwallet.com
    9
  2. 02
    bankrate.com
    8
  3. 03
    experian.com
    7
  4. 04
    tucsonfcu.com
    6
  5. 05
    moneylion.com
    5
  6. 06
    oneazcu.com
    5
  7. 07
    ccu.com
    4
  8. 08
    azcentralcu.org
    4
  9. 09
    investopedia.com
    4
  10. 10
    wsj.com
    4

Hughes Federal 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
1/15
Perplexity
1/15
OpenAI
0/15
Market comparisonSection 06

How Hughes Federal 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
1

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

Sentiment
75

How positively AI describes the company

Site quality
63

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
5.0%
Ranks 112 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
5.0%
Ranks 32 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?

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
  • ACPNot present
  • UCPCould not check
Interfaces for AI agents
  • MCP Server CardNot present
  • A2A Agent CardNot present
  • Agent SkillsNot present
  • API CatalogCould not check
  • llms.txtNot present
  • WebMCPCould not check
Show every check, for your technical team
Discoverability
100 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 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 negotiationCould not check

    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 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 CatalogCould not check

    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 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 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 34 of 100 · 72% of checks could run · checked on October 9, 2026 · www.hughesfcu.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

3 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%
  • 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

  • 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

Share this result

Overall score 31 of 100 badge for Hughes Federal Credit Union

A badge of this result that you can show on your own website. Copy the code below.

<a href="https://aeo-audit.rezolve.com/us/finance/hughesfcu.org"><img src="https://aeo-audit.rezolve.com/finance/badges/hughesfcu.org.svg" alt="Overall score 31 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
End of statement
All 2,219 companiesHow we measured this
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