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.

SWIFT47/60TRANSUNION46/60EXPERIAN42/60COINSTAR41/60NAVY FEDERAL CREDIT UNION41/60ZELLE41/60BLOOMBERG L.P.38/60TRADINGVIEW38/60BANCO POPULAR DE PUERTO RICO37/60PAYPAL37/60VENMO37/60CHEXSYSTEMS33/60EQUIFAX33/60MORNINGSTAR32/60S&P GLOBAL31/60ALPACA MARKETS30/60COINBASE30/60PINWHEEL29/60STRIPE29/60XERO29/60ACORNS28/60AFFIRM28/60PAYFAST (PAYGATE)28/60PAYONEER28/60INTERACTIVE BROKERS26/60CHARLES SCHWAB19/60THE HARTFORD9/60MOODY'S21/60CME GROUP19/60ACCENTURE11/60CHUBB10/60MORGAN STANLEY6/60AMERICAN EXPRESS14/60SYNCHRONY FINANCIAL12/60FACTSET20/60NASDAQ19/60ALLSTATE11/60WELLS FARGO18/60PAYCHEX10/60ARES MANAGEMENT3/60
Rezolve Ai
MethodDemo
Back to the study
AI visibility statementFinance AI Visibility Study 2026Issued October 14, 2026
Account holder

Rapyd

rapyd.net

Payment processors, acquirers and point of saleCards and payments

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
358 of 2,219
its rank by overall score
Place in its category
23rd of 203 payment processors
Closing balance

Named in

3of 60 answers

by 2 of 4 assistants

Statement note

What this means for Rapyd

AI assistants name Rapyd in 5% of answers, more often than the typical company in its sector. Rapyd has an overall score of 39 out of 100, ranking 358th of 2,219 companies. Its website passes 5 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Rapyd by name. AI assistants named it in 3 of the 60 answers. Counting only how often it is named, it ranks 106th of 375 in its sector. The typical cards and payments company is named in 0.0% of answers.

Overall score
39Overall score
  • Visibility5
  • Citations0
  • Sentiment100
  • Site quality87
  • AI readiness36
Summary of account
Named by AI in
5.0%
3 of 60 answers
Share of mentions
4.2%
of the mentions of it and its 5 peers
AI readiness
5/14
technical checks passed. Typical for its sector: 4
Rank in its sector
48 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

Rapyd came up on 3 of 15 questions. Open any window to read that answer.

  1. 01Are there platforms that offer flat-rate pricing for international transactions?0/4
  2. 02How do you resolve issues with declined cross-border card transactions on a fintech platform?0/4
  3. 03What are typical fees for cross-border payment processing platforms serving US businesses?0/4
  4. 04Best ways for online marketplaces to handle international seller payouts?0/4
  5. 05What are the best global payment processing solutions for US businesses expanding internationally?0/4
  6. 06Best substitutes for fintech platforms if you only need basic payment acceptance features?0/4
  7. 07What are some non-bank options for B2B international payments?1/4
  8. 08Which payment solutions are recommended for embedded fintech in mobile apps targeting global users?1/4
  9. 09Do multi-currency business accounts actually save money for companies operating across borders?0/4
  10. 10Is it worth investing in a global fintech platform if my business only occasionally handles international payments?0/4
  11. 11How does an all-in-one global payment platform compare to using separate providers for accepting and sending payments?0/4
  12. 12Alternatives to global payment processors for sending funds internationally from the US?0/4
  13. 13B2B payment processors versus platforms focused on ecommerce—what are the main differences?0/4
  14. 14Top fintech platforms for managing cross-border transactions in multiple currencies?1/4
  15. 15What can cause delays in international payouts when using a global payments service?0/4
Total namedOpenAI: 2/15Claude: 0/15Perplexity: 0/15Gemini: 1/15All assistants: 3/60
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

An answer that names the company

OpenAInamed the company

“Which payment solutions are recommended for embedded fintech in mobile apps targeting global users?”

… Rapyd — “one‑stop” fintech API for collecting many local methods, payouts, virtual accounts and card issuing — useful when you need very wide local‑method coverage and payouts. (docs.rapyd.net)

PayPal / Braintree — highly recognized consumer brand, good for global wallet reach and card processing; Braintree useful for mobile SDKs and marketplace flows. (en.wikipedia.org)

MangoPay (and similar marketplace specialists) — focused on marketplaces/platforms with escrow, …

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
    Stripe
    19
  2. 02
    Adyen
    13
  3. 03
    Payoneer
    12
  4. 04
    Checkout.com
    7
  5. 05
    Worldpay
    1

Share of mentions

CompanyShare
  1. Stripe
    38.0%
  2. Adyen
    21.1%
  3. Payoneer
    21.1%
  4. Checkout.com
    12.7%
  5. Rapyd
    4.2%
  6. Worldpay
    2.8%
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
    40
  2. 02
    wise.com
    26
  3. 03
    connectpay.com
    17
  4. 04
    worldfirst.com
    12
  5. 05
    stripe.com
    7
  6. 06
    xtransfer.com
    5
  7. 07
    whop.com
    4
  8. 08
    slash.com
    4
  9. 09
    ofx.com
    4
  10. 10
    tipalti.com
    4

Rapyd is in the study as a payment processor.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

OpenAI
2/15
Gemini
1/15
Claude
0/15
Perplexity
0/15
Market comparisonSection 06

How Rapyd 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
5

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
100

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
36

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
39
Ranks 48 of 375. Typical company: 27
Named in answers
5.0%
Ranks 106 of 375. Typical company: 0.0%
AI readiness
36
Ranks 41 of 375. Typical company: 29
Against its categorySection 08

Compared with payment processors

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

Overall score
39
Ranks 18 of 203. Typical company: 27
Named in answers
5.0%
Ranks 47 of 203. Typical company: 0.0%
AI readiness
36
Ranks 23 of 203. 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?

Not by itself. Rapyd 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.txtPublished
  • 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
50 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 6.2%
  • llms.txtPassed

    An llms.txt that tells language models what the site offers.

    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 36 of 100 · 97% of checks could run · checked on October 9, 2026 · www.rapyd.net · 2,200 companies scanned

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

AI readinessSection 10

The checks behind the AI readiness score

5 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%
  • Passedllms.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 39 of 100 badge for Rapyd

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/rapyd.net"><img src="https://aeo-audit.rezolve.com/finance/badges/rapyd.net.svg" alt="Overall score 39 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
End of statement
All 2,219 companiesHow we measured this
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