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

PatientFi

patientfi.com

Personal, auto and student lendingLending and credit

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
620 of 2,219
its rank by overall score
Place in its category
10th of 62 consumer lenders
Closing balance

Named in

8of 60 answers

by 4 of 4 assistants

Statement note

What this means for PatientFi

AI assistants name this consumer lender in 13.3% of answers, which is higher than the typical company in its sector at 3.3%. PatientFi's overall score is 35 out of 100, ranking 620th of 2,219 in the study and 28th of 93 within its sector. Its website passes 4 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned PatientFi by name. AI assistants named it in 8 of the 60 answers. Counting only how often it is named, it ranks 22nd of 93 in its sector. The typical lending and credit company is named in 3.3% of answers.

Overall score
35Overall score
  • Visibility16
  • Citations0
  • Sentiment63
  • Site quality87
  • AI readiness29
Summary of account
Named by AI in
13.3%
8 of 60 answers
Share of mentions
24.2%
of the mentions of it and its 5 peers
AI readiness
4/14
technical checks passed. Typical for its sector: 4
Rank in its sector
28 of 93
by overall score, where the typical lending and credit company scores 31

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Line itemsSection 01

Every question, and where the company came up

PatientFi came up on 6 of 15 questions. Open any window to read that answer.

  1. 01What should I do if I missed a payment on my medical financing plan?0/4
  2. 02What are alternatives to healthcare financing platforms for paying for medical treatments?0/4
  3. 03Are there any fees associated with healthcare financing plans for patients?0/4
  4. 04How do monthly payment plans for healthcare work in the US?1/4
  5. 05What are the best patient financing options for elective medical procedures?1/4
  6. 06Can patient financing options be used for dental implants?0/4
  7. 07How can patients afford expensive elective procedures without financing?0/4
  8. 08What is the typical interest rate range for patient financing in the US?1/4
  9. 09Are patient financing solutions available for fertility treatments?3/4
  10. 10Patient financing platforms vs in-house payment plans: which is better for patients?0/4
  11. 11How does healthcare patient financing compare to traditional credit cards for medical expenses?0/4
  12. 12Is it worth using a patient financing company for a cosmetic procedure?1/4
  13. 13Why did my application for a patient financing plan get declined?1/4
  14. 14Best ways to break down the cost of medical treatments in the United States0/4
  15. 15What should I consider before applying for a healthcare financing plan?0/4
Total namedOpenAI: 1/15Claude: 1/15Perplexity: 2/15Gemini: 4/15All assistants: 8/60
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 patient financing options for elective medical procedures?”

Short answer — there’s no single “best” product for everyone. Common good options for elective procedures are: (1) provider-offered payment plans, (2) speciality medical/patient credit (CareCredit, PatientFi, Cherry), (3) point‑of‑sale BNPL/health lenders (Sunbit, Affirm, Klarna, etc.), (4) unsecured personal loans from a bank/credit union or online lender, and (5) using savings / HSA / FSA / low‑interest credit cards. Which is best depends on the procedure cost, how long you need to repay, your credit score, and whether you can accept deferred interest or promotional terms. ([consumerfinance. …

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
    CareCredit
    13
  2. 02
    Cherry
    1
  3. 03
    Alphaeon Credit
    1

Share of mentions

CompanyShare
  1. CareCredit
    57.6%
  2. PatientFi
    24.2%
  3. Alphaeon Credit
    12.1%
  4. Cherry
    6.1%
  5. LendingUSA
    0.0%
  6. United Medical Credit
    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
    withcherry.com
    36
  2. 02
    carecredit.com
    14
  3. 03
    consumerfinance.gov
    8
  4. 04
    pabau.com
    7
  5. 05
    advancecarecard.com
    5
  6. 06
    medprodisposal.com
    5
  7. 07
    files.consumerfinance.gov
    5
  8. 08
    resources.rework.com
    3
  9. 09
    payzen.com
    3
  10. 10
    sunbit.com
    3

PatientFi is in the study as a consumer lender.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
4/15
Perplexity
2/15
Claude
1/15
OpenAI
1/15
Market comparisonSection 06

How PatientFi 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
16

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
63

How positively AI describes the company

Site quality
87

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 lending and credit companies

93 companies in this sector. The gold tick on each bar is the typical company.

Overall score
35
Ranks 28 of 93. Typical company: 31
Named in answers
13.3%
Ranks 22 of 93. Typical company: 3.3%
AI readiness
29
Ranks 24 of 93. Typical company: 29
Against its categorySection 08

Compared with consumer lenders

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

Overall score
35
Ranks 10 of 62. Typical company: 28
Named in answers
13.3%
Ranks 5 of 62. Typical company: 1.7%
AI readiness
29
Ranks 16 of 62. Typical company: 29
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.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 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 44 of 100 · 65% of checks could run · checked on October 9, 2026 · patientfi.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

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

Share this result

Overall score 35 of 100 badge for PatientFi

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/patientfi.com"><img src="https://aeo-audit.rezolve.com/finance/badges/patientfi.com.svg" alt="Overall score 35 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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