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.
2,117 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 iBnk

AI assistants do not name this digital asset infrastructure company in any of their 60 answers. Its overall score is 22 out of 100, ranking 2,117th of 2,219, while the typical company in its sector scores 30. Its website passes 1 of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned iBnk by name. AI assistants named it in none of the 60 answers. Counting only how often it is named, it ranks 67th of 102 in its sector. The typical crypto and digital asset 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
22Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality67
  • AI readiness7
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
1/14
technical checks passed. Typical for its sector: 4
Rank in its sector
102 of 102
by overall score, where the typical crypto and digital asset company scores 30

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Line itemsSection 01

Every question, and where the company came up

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

  1. 01Is using a digital asset platform worth it for regular cross-border payments?0/4
  2. 02Does it make sense for AI agents to use unified multi-currency payment accounts?0/4
  3. 03How do traditional bank transfers compare to digital asset rails for moving money overseas?0/4
  4. 04What are some alternatives to traditional wire transfers for sending large amounts abroad?0/4
  5. 05What should I do if my international money transfer is delayed or stuck?0/4
  6. 06What are the fastest ways to send money internationally for personal use?0/4
  7. 07What is the best solution for managing payroll for remote teams in different countries?0/4
  8. 08How can businesses resolve issues with failed currency conversions on payment platforms?0/4
  9. 09Best cross-border payment platforms for small businesses expanding globally0/4
  10. 10How much do cross-border transfers usually cost from the US to Europe?0/4
  11. 11Which platforms allow sending money overseas via chat or messaging apps?0/4
  12. 12What options exist for global money movement besides SWIFT and bank wires?0/4
  13. 13What factors affect live foreign exchange rates on digital payment platforms?0/4
  14. 14Fiat currency transfers vs digital asset transfers: which is more cost-effective for global payments?0/4
  15. 15How can freelancers receive overseas payments instantly with minimal fees?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 OpenAI actually said

The company is not named in this answer

OpenAIdid not name the company

“Does it make sense for AI agents to use unified multi-currency payment accounts?”

Short answer: yes — unified multi-currency payment accounts can make a lot of sense for AI agents in many scenarios, but whether you should use one depends on the agent’s purpose, scale, regulatory environment, and risk tolerance.

Why it can make sense (benefits)

Simpler payments flow: a single account that holds and pays out multiple currencies reduces the need to create and manage separate accounts per currency or country.

Lower FX friction and cost: customers and counterparties can be billed in their local currency; the account can hold balances and convert when rates/fees are favora …

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
    Wise
    21
  2. 02
    Remitly
    9
  3. 03
    Revolut
    9
  4. 04
    Currencycloud
    1

Share of mentions

CompanyShare
  1. Wise
    41.3%
  2. Remitly
    30.4%
  3. Revolut
    26.1%
  4. Currencycloud
    2.2%
  5. iBnk
    0.0%
  6. Paysend
    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
    14
  2. 02
    wise.com
    10
  3. 03
    remitly.com
    7
  4. 04
    ramp.com
    6
  5. 05
    opendue.com
    5
  6. 06
    cobo.com
    5
  7. 07
    xtransfer.com
    5
  8. 08
    money.com
    5
  9. 09
    xe.com
    4
  10. 10
    slash.com
    4

iBnk is in the study as a digital asset infrastructure company.

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 iBnk 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
67

How well built the website's own pages are

AI readiness
7

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 crypto and digital asset companies

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

Overall score
22
Ranks 102 of 102. Typical company: 30
Named in answers
0.0%
Ranks 67 of 102. Typical company: 1.7%
AI readiness
7
Ranks 98 of 102. Typical company: 33
Against its categorySection 08

Compared with digital asset infrastructure companies

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

Overall score
22
Ranks 80 of 80. Typical company: 29
Named in answers
0.0%
Ranks 51 of 80. Typical company: 1.7%
AI readiness
7
Ranks 76 of 80. Typical company: 36
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. iBnk 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
0 of 100
  • robots.txtNot met

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

    study: 86.1%
  • SitemapNot met

    Serve an XML sitemap and reference it 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
0 of 100
  • AI bot rulesNot 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 0 of 100 · 97% of checks could run · checked on October 9, 2026 · www.ibnk.xyz · 2,200 companies scanned

See how every company did, and how this was measured.

AI readinessSection 10

The checks behind the AI readiness score

1 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

  • Not metrobots.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%
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