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

BVNK

bvnk.com

Banking and fintech infrastructureFinancial technology and data

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
424 of 2,219
its rank by overall score
Place in its category
57th of 315 fintech infrastructure companies
Closing balance

Named in

2of 60 answers

by 2 of 4 assistants

Statement note

What this means for BVNK

AI assistants rarely name this fintech infrastructure company, with its name coming up in 2 of 60 answers, sometimes alongside Circle, Ripple, or Fireblocks. Its overall score is 38 out of 100, ranking 424th of 2,219 companies and scoring higher than the typical company in its sector. Its website passes 4 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned BVNK by name. AI assistants named it in 2 of the 60 answers. Counting only how often it is named, it ranks 223rd of 574 in its sector. The typical financial technology and data company is named in 1.7% 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
38Overall score
  • Visibility6
  • Citations4
  • Sentiment100
  • Site quality80
  • AI readiness29
Summary of account
Named by AI in
3.3%
2 of 60 answers
Share of mentions
13.3%
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
127 of 574
by overall score, where the typical financial technology and data company scores 29

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Line itemsSection 01

Every question, and where the company came up

BVNK came up on 2 of 15 questions. Open any window to read that answer.

  1. 01Enterprise stablecoin payments vs traditional cross-border payment systems—what are the main differences?0/4
  2. 02What use cases exist for financial platforms leveraging stablecoin infrastructure?0/4
  3. 03Are there setup or monthly costs associated with integrating stablecoin payment APIs for businesses?0/4
  4. 04How can a business resolve issues with delayed settlement on stablecoin transfers?0/4
  5. 05Which industries are best served by integrating stablecoin payment infrastructure?0/4
  6. 06How does stablecoin infrastructure differ from SWIFT for international business payments?0/4
  7. 07How can e-commerce companies benefit from integrating stablecoin payment rails?0/4
  8. 08Why is my stablecoin payment not being received for a cross-border business transaction?0/4
  9. 09Is adopting stablecoin payment solutions worth it for US-based businesses sending payments abroad?0/4
  10. 10What should businesses look for when choosing an enterprise-grade stablecoin payments provider?1/4
  11. 11How are fees typically structured for enterprise-level stablecoin payment solutions?1/4
  12. 12What are some non-stablecoin digital asset options for global business payments?0/4
  13. 13What alternatives exist to stablecoins for businesses looking to move money internationally?0/4
  14. 14Which stablecoins are most commonly used by enterprises for large cross-border payments?0/4
  15. 15What are the key benefits of using enterprise stablecoin payment platforms for global businesses?0/4
Total namedOpenAI: 0/15Claude: 1/15Perplexity: 0/15Gemini: 1/15All assistants: 2/60
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

“How are fees typically structured for enterprise-level stablecoin payment solutions?”

… For high-volume operators, pricing is highly negotiable. NOWPayments offers the lowest base fee at 0.5% for standard merchant transactions, while BVNK can go as low as 0.3% for high-volume enterprise clients with negotiated rates. Additionally, at scale, particularly above $30M monthly volume, mint and burn access avoids retail order book costs and liquidity constraints that become material at enterprise volumes.

Competitive Advantage

The all-in cost of a stablecoin payment ranges from 0.5% to 2.5% depending on the corridor, compared to traditional correspondent banking which costs 3% t …

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
    Circle
    3
  2. 02
    Ripple
    2
  3. 03
    Fireblocks
    2

Share of mentions

CompanyShare
  1. Ripple
    33.3%
  2. Circle
    20.0%
  3. Fireblocks
    20.0%
  4. BVNK
    13.3%
  5. Stellar (Stellar Enterprise API)
    13.3%
  6. Chainalysis (Crypto Payments Infrastructure)
    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
    polygon.technology
    14
  2. 02
    stripe.com
    12
  3. 03
    bvnk.com (its own website)
    9
  4. 04
    osl.com
    9
  5. 05
    circle.com
    8
  6. 06
    eco.com
    6
  7. 07
    merge.money
    6
  8. 08
    crossriver.com
    6
  9. 09
    fireblocks.com
    5
  10. 10
    cobo.com
    5

BVNK is in the study as a fintech infrastructure company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Claude
1/15
Gemini
1/15
OpenAI
0/15
Perplexity
0/15
Market comparisonSection 06

How BVNK 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
6

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
100

How positively AI describes the company

Site quality
80

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 financial technology and data companies

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

Overall score
38
Ranks 127 of 574. Typical company: 29
Named in answers
3.3%
Ranks 223 of 574. Typical company: 1.7%
AI readiness
29
Ranks 224 of 574. Typical company: 29
Against its categorySection 08

Compared with fintech infrastructure companies

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

Overall score
38
Ranks 54 of 315. Typical company: 28
Named in answers
3.3%
Ranks 100 of 315. Typical company: 1.7%
AI readiness
29
Ranks 117 of 315. 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 0: Not yet agent-ready. Agents struggle to find basic information about the site.

To reach level 1:
  • 2 of robots.txt, Sitemap, Link headers
Can an AI agent check out here?

Not by itself. BVNK 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.txtNot present
  • WebMCPCould not check
Show every check, for your technical team
Discoverability
36 of 100
  • robots.txtNot met

    Publish a valid robots.txt with crawl rules and a Sitemap line.

    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
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 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 15 of 100 · 97% of checks could run · checked on October 9, 2026 · www.bvnk.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%
  • 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%
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End of statement
All 2,219 companiesHow we measured this
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