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 and 10, 2026
when the AI assistants were asked
Account no.
1,857 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 TransferMate Global Payments

AI assistants do not name TransferMate Global Payments in any of their 60 answers, though they name companies like Airwallex, Payoneer, and Veem. Its overall score is 25 out of 100, ranking 1,857th of 2,219, while the typical company in its sector has a score of 27. 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 TransferMate Global Payments by name. AI assistants named it in none of the 60 answers. Counting only how often it is named, it ranks 179th of 375 in its sector. The typical cards and payments 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
25Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality73
  • AI readiness29
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
4/14
technical checks passed. Typical for its sector: 4
Rank in its sector
280 of 375
by overall score, where the typical cards and payments company scores 27

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Line itemsSection 01

Every question, and where the company came up

TransferMate Global Payments came up on 0 of 15 questions. Open any window to read that answer.

  1. 01What should US enterprises look for when choosing a global payment infrastructure for business transactions overseas?0/4
  2. 02What is the typical pricing structure for B2B payment platforms offering global accounts in the US?0/4
  3. 03Why are international vendor payments sometimes delayed, even through global payment engines?0/4
  4. 04What features are essential in a payments engine designed for US businesses operating in over 200 countries?0/4
  5. 05What are some alternatives to embedded payments platforms for US companies handling frequent international transactions?0/4
  6. 06How do embedded payments platforms support education sector organizations making cross-border payments?0/4
  7. 07Global accounts solutions vs multi-currency accounts—how do they compare for US companies handling cross-border payments?0/4
  8. 08How do foreign exchange fees for global B2B payments platforms compare to using a regular business bank account?0/4
  9. 09Is using an embedded B2B payments platform worth it for a mid-sized US business with frequent foreign clients?0/4
  10. 10Can global payment platforms simplify international payroll processing for US businesses with overseas employees?0/4
  11. 11Embedded payments platform vs traditional wire transfer services for international B2B payments—what are the pros and cons?0/4
  12. 12Low-cost options for processing cross-border B2B payments from the United States?0/4
  13. 13How do global payment engines help US businesses get paid faster by overseas clients?0/4
  14. 14How do I resolve failed payments when using an embedded payments technology for cross-border B2B transactions?0/4
  15. 15What are the best embedded global B2B payments platforms for streamlining international transactions?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

“What is the typical pricing structure for B2B payment platforms offering global accounts in the US?”

I'll search for information about B2B payment platform pricing for global accounts in the US.Based on current market data, B2B payment platforms offering global accounts in the US typically use several pricing models:

Common Pricing Structures

Transaction-Based Fees:

Stripe charges starting at 2.9% + 30¢ per transaction, with volume discounts available for high-volume merchants, while Square's online payments start at 2.6% + 10¢ per transaction.

Foreign Exchange (FX) Fees:

Wise Business offers low conversion fees starting at 0.23%, rising on less common currency pairs, using the …

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
    Airwallex
    14
  2. 02
    Payoneer
    5
  3. 03
    Veem
    3
  4. 04
    Currencycloud
    2

Share of mentions

CompanyShare
  1. Airwallex
    40.0%
  2. Wise (formerly TransferWise) Business
    24.4%
  3. Payoneer
    20.0%
  4. Currencycloud
    8.9%
  5. Veem
    6.7%
  6. TransferMate Global Payments
    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
    airwallex.com
    44
  2. 02
    wise.com
    15
  3. 03
    stripe.com
    12
  4. 04
    xtransfer.com
    12
  5. 05
    highradius.com
    8
  6. 06
    connectpay.com
    8
  7. 07
    ramp.com
    7
  8. 08
    convera.com
    7
  9. 09
    ofx.com
    5
  10. 10
    tipalti.com
    5

TransferMate Global Payments is in the study as a cross-border payments provider.

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 TransferMate Global Payments 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
73

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 cards and payments companies

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

Overall score
25
Ranks 280 of 375. Typical company: 27
Named in answers
0.0%
Ranks 179 of 375. Typical company: 0.0%
AI readiness
29
Ranks 106 of 375. Typical company: 29
Against its categorySection 08

Compared with cross-border payments providers

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

Overall score
25
Ranks 62 of 84. Typical company: 27
Named in answers
0.0%
Ranks 33 of 84. Typical company: 0.0%
AI readiness
29
Ranks 26 of 84. 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. TransferMate Global Payments 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
44 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 DiscoveryPassed

    SVCB or HTTPS records under _agents that advertise agent endpoints.

    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 18 of 100 · 97% of checks could run · checked on October 9, 2026 · www.transfermate.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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