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, 2026
when the AI assistants were asked
Account no.
2 of 2,219
its rank by overall score
Closing balance

Named in

47of 60 answers

by 4 of 4 assistants

Statement note

What this means for SWIFT

AI assistants name SWIFT in 78.3% of answers, far more frequently than the typical company in its sector. Its overall score is 55 out of 100, ranking 2nd of 2,219 companies and first in the sector. SWIFT's website passes 3 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned SWIFT by name. AI assistants named it in 47 of the 60 answers. Counting only how often it is named, it ranks 1st of 375 in its sector. The typical cards and payments company is named in 0.0% of answers.

Overall score
55Overall score
  • Visibility79
  • Citations3
  • Sentiment60
  • Site quality87
  • AI readiness21
Summary of account
Named by AI in
78.3%
47 of 60 answers
Share of mentions
87.0%
of the mentions of it and its 5 peers
AI readiness
3/14
technical checks passed. Typical for its sector: 4
Rank in its sector
1 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

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

  1. 01Is global payment messaging infrastructure worth the investment for community banks?2/4
  2. 02How do correspondent banking networks compare to direct bank-to-bank payment connections for cross-border transfers?2/4
  3. 03Options for small banks to facilitate international wire transfers without joining global messaging infrastructures?4/4
  4. 04How do financial institutions typically handle international payment messaging?4/4
  5. 05Are there flat-rate options available for high-volume cross-border financial messaging services?4/4
  6. 06What alternatives exist to traditional cross-border financial messaging networks for moving funds internationally?4/4
  7. 07Financial messaging infrastructure vs. traditional wire transfer systems—what are the main differences?4/4
  8. 08How are transaction fees calculated for international payments between banks?2/4
  9. 09What is the best way for financial institutions to standardize payment messaging formats?3/4
  10. 10Best solutions for real-time international payments outside of legacy interbank systems?3/4
  11. 11How can banks ensure compliance when sending international B2B payments?4/4
  12. 12Common issues with cross-border payment processing and how to resolve them?2/4
  13. 13What are the best options for secure cross-border payments for banks?4/4
  14. 14What should financial firms consider before implementing new cross-border transaction platforms?1/4
  15. 15Why do some international wire transfers take several days to complete?4/4
Total namedOpenAI: 15/15Claude: 9/15Perplexity: 10/15Gemini: 13/15All assistants: 47/60
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 Perplexity actually said

An answer that names the company

Perplexitynamed the company

“Best solutions for real-time international payments outside of legacy interbank systems?”

The best alternatives to legacy correspondent-bank/SWIFT flows are payment platforms that connect directly to domestic real-time rails, regulated stablecoin settlement, and— for institutions—tokenized deposits or shared-ledger networks. The right choice depends on whether the recipient needs fiat in a bank account, wallet settlement, or treasury liquidity.

Solution · Best for · Typical speed · Main advantages · Main limitations

Local-rail orchestration APIs · Business payouts, payroll, marketplace disbursements · Seconds to minutes · Routes funds 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
    Ripple
    6

Share of mentions

CompanyShare
  1. SWIFT
    87.0%
  2. Ripple
    13.0%
  3. Vocalink (a Mastercard company)
    0.0%
  4. ACI Worldwide
    0.0%
  5. FIS (Fidelity National Information Services)
    0.0%
  6. Finastra
    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
    jpmorgan.com
    18
  2. 02
    airwallex.com
    18
  3. 03
    swift.com (its own website)
    16
  4. 04
    aciworldwide.com
    13
  5. 05
    wise.com
    13
  6. 06
    stripe.com
    12
  7. 07
    bis.org
    10
  8. 08
    xtransfer.com
    10
  9. 09
    bvnk.com
    10
  10. 10
    circle.com
    9

SWIFT 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

OpenAI
15/15
Gemini
13/15
Perplexity
10/15
Claude
9/15
Market comparisonSection 06

How SWIFT 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
79

How often AI assistants name the company, and how that compares with its peers

Citations
3

How often AI uses the company's own website as a source

Sentiment
60

How positively AI describes the company

Site quality
87

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 cards and payments companies

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

Overall score
55
Ranks 1 of 375. Typical company: 27
Named in answers
78.3%
Ranks 1 of 375. Typical company: 0.0%
AI readiness
21
Ranks 216 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
55
Ranks 1 of 84. Typical company: 27
Named in answers
78.3%
Ranks 1 of 84. Typical company: 0.0%
AI readiness
21
Ranks 51 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. SWIFT 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 CatalogCould not check
  • llms.txtNot present
  • WebMCPCould not check
Show every check, for your technical team
Discoverability
72 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 86.1%
  • SitemapPartly 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
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 CatalogCould not check

    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 25 of 100 · 92% of checks could run · checked on October 9, 2026 · www.swift.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

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

  • GPTBotpartly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly

AI search

  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly

Answering questions

  • ChatGPT-Userpartly
  • Claude-Userpartly
  • Perplexity-Userpartly
  • DuckAssistBotpartly
  • MistralAI-Userpartly

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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ShareSection 12

Share this result

Overall score 55 of 100 badge for SWIFT

A badge of this result that you can show on your own website. Copy the code below.

<a href="https://aeo-audit.rezolve.com/us/finance/swift.com"><img src="https://aeo-audit.rezolve.com/finance/badges/swift.com.svg" alt="Overall score 55 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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