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.
1,321 of 2,219
its rank by overall score
Closing balance

Named in

0of 60, its tower is dark

by 0 of 4 assistants

Statement note

What this means for DR Bank

AI assistants do not name this regional or community bank in any of their 60 answers. Its overall score is 27 out of 100, ranking 1,321st of 2,219 companies, close to the typical company in its sector. The website passes 5 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned DR Bank by name. AI assistants named it in none of the 60 answers. Counting only how often it is named, it ranks 188th 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
27Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality80
  • AI readiness36
Summary of account
Named by AI in
0.0%
0 of 60 answers
Share of mentions
0.0%
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
211 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

DR Bank came up on 0 of 15 questions. Open any window to read that answer.

  1. 01Best online banking platforms for innovators looking for tailored business services?0/4
  2. 02How do you resolve ACH transfer issues with a digital commercial bank?0/4
  3. 03What are alternatives to sponsor banking for fintech companies wanting to launch financial products?0/4
  4. 04How can digital commercial banks help fintech companies launch new products?0/4
  5. 05Fintech sponsor banks vs direct fintech platforms—what are the key differences for US startups?0/4
  6. 06Is it worth switching a business account to a digital bank?0/4
  7. 07What should I do if my business application is delayed at a fintech sponsor bank?0/4
  8. 08Which fintech sponsor banks are popular among startup founders in the US?0/4
  9. 09How do digital commercial banks compare to traditional banks for business lending?0/4
  10. 10What are typical monthly fees for US digital commercial bank accounts?0/4
  11. 11What are common reasons startups choose sponsor banks for embedded finance solutions?0/4
  12. 12Online-only banks versus branch-based banks for business account management—what should I consider?0/4
  13. 13Are fintech banking platforms reliable for managing everyday business finances?0/4
  14. 14Are fintech sponsor banks more cost-effective than traditional corporate banking options?0/4
  15. 15What are the best digital banks for US businesses seeking commercial lending?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 0/15All assistants: 0/60
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

The company is not named in this answer

Claudedid not name the company

“Which fintech sponsor banks are popular among startup founders in the US?”

Based on the search results, several fintech sponsor banks are popular among startup founders in the US:

Traditional Sponsor Banks:

Cross River Bank is a full-service sponsor bank that can handle virtually any banking need with strong staffing for quick turnaround on marketing materials, and has sponsored programs for companies like Stripe, Bluevine, Upstart, Upgrade, Affirm, and Rocket Loans.

Webbank is primarily credit-focused with capital markets capabilities like warehouse funding, and has sponsored programs for PayPal, Klarna, Toast, Avant, and Gemini.

Other long-established spons …

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.

Named instead

CompanyTimes named
  1. 01
    Evolve Bank & Trust
    2
  2. 02
    Piermont Bank
    1
  3. 03
    Blue Ridge Bank
    1

Share of mentions

CompanyShare
  1. Evolve Bank & Trust
    50.0%
  2. Piermont Bank
    16.7%
  3. Blue Ridge Bank
    16.7%
  4. Thread Bank
    16.7%
  5. DR Bank
    0.0%
  6. LendingClub Bank
    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
    fintechspecs.com
    15
  2. 02
    bluevine.com
    14
  3. 03
    brex.com
    14
  4. 04
    rho.co
    8
  5. 05
    xero.com
    7
  6. 06
    airwallex.com
    6
  7. 07
    spark.money
    5
  8. 08
    wise.com
    5
  9. 09
    nerdwallet.com
    5
  10. 10
    fitsmallbusiness.com
    5

DR Bank is in the study as a regional or community bank.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How DR Bank 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
0

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
80

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
27
Ranks 211 of 394. Typical company: 28
Named in answers
0.0%
Ranks 188 of 394. Typical company: 0.0%
AI readiness
36
Ranks 29 of 394. Typical company: 29
Against its categorySection 08

Compared with regional and community banks

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

Overall score
27
Ranks 69 of 148. Typical company: 27
Named in answers
0.0%
Ranks 52 of 148. Typical company: 0.0%
AI readiness
36
Ranks 9 of 148. 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. DR Bank 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
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 36 of 100 · 97% of checks could run · checked on October 9, 2026 · drbank.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

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

  • 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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