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.
2,092 of 2,219
its rank by overall score
Closing balance

Named in

1of 60 answers

by 1 of 4 assistants

Statement note

What this means for TerraPay

AI assistants rarely name this cross-border payments provider in their answers, mentioning it just once out of 60 answers. Its overall score is 22 out of 100, ranking 2,092nd of 2,219 companies. The website passes 2 of 14 technical checks for how ready it is for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned TerraPay by name. AI assistants named it in 1 of the 60 answers. Counting only how often it is named, it ranks 133rd 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
22Overall score
  • Visibility3
  • Citations0
  • Sentiment50
  • Site quality60
  • AI readiness14
Summary of account
Named by AI in
1.7%
1 of 60 answers
Share of mentions
5.3%
of the mentions of it and its 5 peers
AI readiness
2/14
technical checks passed. Typical for its sector: 4
Rank in its sector
340 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

TerraPay came up on 1 of 15 questions. Open any window to read that answer.

  1. 01What's the difference between card-based and wallet-based cross-border payment infrastructures?0/4
  2. 02Is investing in global payment infrastructure worth it for small to mid-size US banks?0/4
  3. 03Which features should financial businesses look for in a global payments connectivity provider?0/4
  4. 04What are some other options besides payments infrastructure networks for international B2B money movement?0/4
  5. 05What are practical applications of a single-platform global payments network for fintechs?0/4
  6. 06How can financial institutions use payment interoperability to reach new international markets?0/4
  7. 07Do real-time cross-border payments solutions reduce operational overhead for financial businesses?0/4
  8. 08Are there alternatives to digital wallet networks for sending money cross-border to unbanked recipients?0/4
  9. 09Why do international payments to digital wallets sometimes fail on cross-border platforms?0/4
  10. 10What are common regulatory hurdles for US businesses moving money overseas in real time?0/4
  11. 11How are cross-border payments infrastructure services typically priced for US financial institutions?0/4
  12. 12How do financial institutions enable seamless payments to digital wallets and bank accounts internationally?1/4
  13. 13What are the best cross-border payments networks for real-time global money transfers?0/4
  14. 14What factors influence transaction fees for global real-time money transfers?0/4
  15. 15How do global real-time payments networks compare to traditional wire transfer systems?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 1/15All assistants: 1/60
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 Gemini actually said

An answer that names the company

Gemininamed the company

“How do financial institutions enable seamless payments to digital wallets and bank accounts internationally?”

… Partnerships and APIs: Collaborations between financial institutions and payment networks (e.g., Visa with Thunes and TerraPay) expand the reach of digital wallets, allowing for instant money transfers to a vast number of wallets and bank accounts across different regions. Many modern payment providers use cloud infrastructure and APIs to connect to local payment networks, compliance tools, and foreign exchange engines, offering international reach with a single integration.

3. Alternative and Evolving Methods

Card Networks: Credit card networks have expanded their ser

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
    Thunes
    5
  2. 02
    Currencycloud
    2

Share of mentions

CompanyShare
  1. Thunes
    31.6%
  2. NIUM
    26.3%
  3. Currencycloud
    15.8%
  4. MoneyGram as a Platform (MGaP)
    15.8%
  5. TerraPay
    5.3%
  6. Rapyd
    5.3%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    thunes.com
    11
  2. 02
    airwallex.com
    10
  3. 03
    mastercard.com
    9
  4. 04
    stripe.com
    9
  5. 05
    bis.org
    6
  6. 06
    jpmorgan.com
    6
  7. 07
    fasterpaymentscouncil.org
    5
  8. 08
    connectpay.com
    5
  9. 09
    bvnk.com
    5
  10. 10
    mckinsey.com
    4

TerraPay 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

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

How TerraPay 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
3

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
60

How well built the website's own pages are

AI readiness
14

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
22
Ranks 340 of 375. Typical company: 27
Named in answers
1.7%
Ranks 133 of 375. Typical company: 0.0%
AI readiness
14
Ranks 300 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
22
Ranks 78 of 84. Typical company: 27
Named in answers
1.7%
Ranks 23 of 84. Typical company: 0.0%
AI readiness
14
Ranks 73 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 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.

To reach level 2:
  • Content Signals

The website turns away requests that do not come from a browser. AI agents that say what they are meet the same refusal.

Can an AI agent check out here?

Not by itself. TerraPay 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
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 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 30 of 100 · 81% of checks could run · checked on October 9, 2026 · www.terrapay.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

2 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%
  • Not metXML 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

  • 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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