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.
1,503 of 2,219
its rank by overall score
Place in its category
21st of 32 digital banks
Closing balance

Named in

0of 60, its tower is dark

by 0 of 4 assistants

Statement note

What this means for B89

AI assistants do not name this digital bank in any of their 60 answers, while the typical company in its sector is also named in 0% of answers. Its overall score is 26 out of 100, ranking 1,503rd of 2,219. Its website passes 3 out of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned B89 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
26Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality80
  • AI readiness21
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
3/14
technical checks passed. Typical for its sector: 3
Rank in its sector
243 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

B89 came up on 0 of 15 questions. Open any window to read that answer.

  1. 01What’s the best way for ecommerce stores to manage cross-border payouts?0/4
  2. 02How can individuals transfer money overseas without excessive fees?0/4
  3. 03Which non-bank options exist for global business payments with fast processing?0/4
  4. 04What can cause errors when sending money abroad from the US?0/4
  5. 05Is it safe to use online services for large international money transfers?0/4
  6. 06Why might an international payment take longer than expected to arrive?0/4
  7. 07Are multi-currency payment platforms worth it for small US businesses?0/4
  8. 08How can freelancers in the US receive payments from international clients efficiently?0/4
  9. 09How can US companies automate their international pay-ins and pay-outs?0/4
  10. 10What are the best platforms for sending international business payments quickly and securely?0/4
  11. 11Peer-to-peer payment systems vs. dedicated international payment platforms—what’s the difference?0/4
  12. 12Are there platforms that offer low-cost cross-border transactions for frequent users?0/4
  13. 13How do cross-border payment solutions compare to traditional wire transfers for US businesses?0/4
  14. 14What are alternatives to traditional banks for moving money between countries?0/4
  15. 15What fees should I expect for making international payments from the US?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 Gemini actually said

The company is not named in this answer

Geminidid not name the company

“What’s the best way for ecommerce stores to manage cross-border payouts?”

For e-commerce stores, effectively managing cross-border payouts is crucial for global expansion and customer satisfaction. It involves navigating various currencies, payment methods, regulations, and potential fees. The best approach often involves a combination of strategic practices and utilizing robust global payment platforms.

Here's a breakdown of the best ways for e-commerce stores to manage cross-border payouts:

1. Understand and Offer Preferred Local Payment Methods and Currencies:

Customer Preference is Key: Customers expect familiar and trusted ways to pay. Offering po …

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
    Payoneer
    16
  2. 02
    OFX
    13
  3. 03
    Remitly
    9
  4. 04
    WorldRemit
    5
  5. 05
    Wise (formerly TransferWise)
    1

Share of mentions

CompanyShare
  1. Wise (formerly TransferWise)
    32.5%
  2. Payoneer
    23.8%
  3. OFX
    20.0%
  4. Remitly
    17.5%
  5. WorldRemit
    6.3%
  6. B89
    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
    wise.com
    30
  2. 02
    airwallex.com
    24
  3. 03
    worldfirst.com
    12
  4. 04
    stripe.com
    10
  5. 05
    paypal.com
    9
  6. 06
    grey.co
    9
  7. 07
    remitly.com
    9
  8. 08
    tipalti.com
    7
  9. 09
    xtransfer.com
    5
  10. 10
    payoneer.com
    5

B89 is in the study as a digital 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 B89 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
21

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
26
Ranks 243 of 394. Typical company: 28
Named in answers
0.0%
Ranks 188 of 394. Typical company: 0.0%
AI readiness
21
Ranks 199 of 394. Typical company: 29
Against its categorySection 08

Compared with digital banks

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

Overall score
26
Ranks 21 of 32. Typical company: 28
Named in answers
0.0%
Ranks 14 of 32. Typical company: 0.0%
AI readiness
21
Ranks 23 of 32. 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
Can an AI agent check out here?

We could not tell. The website turned away our requests for the files an agent would read. An agent arriving by itself is turned away the same way.

Agent payment protocols
  • x402Not present
  • MPPNot present
  • AP2Not present
  • ACPCould not check
  • UCPCould not check
Interfaces for AI agents
  • MCP Server CardCould not check
  • A2A Agent CardCould not check
  • Agent SkillsCould not check
  • API CatalogCould not check
  • llms.txtNot present
  • 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
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 AuthCould not check

    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 CatalogCould not check

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 1.3%
  • OAuth discoveryCould not check

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 6.3%
  • OAuth Protected ResourceCould not check

    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 CardCould not check

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.8%
  • A2A Agent CardCould not check

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.2%
  • Agent SkillsCould not check

    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 manifestCould not check

    Publish an ai-catalog.json listing every agent interface.

    study: 0.2%

Score 37 of 100 · 65% of checks could run · checked on October 9, 2026 · www.b89.io · 2,200 companies scanned

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

AI readinessSection 10

The checks behind the AI readiness score

3 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%
  • 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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