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

ATTRUS

attrus.com

Cross-border payments and remittancesCards and payments

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
473 of 2,219
its rank by overall score
Place in its category
16th of 84 cross-border payments providers
Closing balance

Named in

7of 60 answers

by 2 of 4 assistants

Statement note

What this means for ATTRUS

AI assistants name this cross-border payments provider in 11.7% of answers to market questions, while the typical company in its sector is rarely named at all. It holds an overall score of 37 out of 100, ranking 473rd of 2,219 companies. Its website passes 4 of 14 technical checks for how ready it is for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned ATTRUS by name. AI assistants named it in 7 of the 60 answers. Counting only how often it is named, it ranks 63rd of 375 in its sector. The typical cards and payments company is named in 0.0% of answers.

Overall score
37Overall score
  • Visibility15
  • Citations1
  • Sentiment83
  • Site quality80
  • AI readiness29
Summary of account
Named by AI in
11.7%
7 of 60 answers
Share of mentions
23.3%
of the mentions of it and its 5 peers
AI readiness
4/14
technical checks passed. Typical for its sector: 4
Rank in its sector
68 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

ATTRUS came up on 5 of 15 questions. Open any window to read that answer.

  1. 01What other solutions exist for US businesses to access regulated local financial infrastructure in Latin America?2/4
  2. 02Best options besides API platforms for managing FX and treasury operations in Latin America?1/4
  3. 03How can global businesses streamline cross-border payments to Latin America using a single API?0/4
  4. 04Examples of automating FX and stablecoin settlements for Latin American clients using API platforms.1/4
  5. 05Do multi-currency payment APIs improve operational efficiency for US-based financial teams expanding into Latin America?0/4
  6. 06Is it worth investing in an all-in-one API for Latin American treasury, payments, and FX?0/4
  7. 07Single API solutions for Latin American payments vs building local integrations in each country?0/4
  8. 08What are the best API platforms for connecting to local financial infrastructure in Latin America?1/4
  9. 09What to do if a local payment in Latin America fails using a financial infrastructure API?0/4
  10. 10Are there additional fees when sending multi-currency payments through a financial infrastructure API to Latin American markets?0/4
  11. 11How can a global business use a single API to manage treasury operations across multiple Latin American countries?2/4
  12. 12Alternatives to single API platforms for connecting to local payment rails in Latin America?0/4
  13. 13What are typical pricing models for cross-border payment API solutions targeting Latin America?0/4
  14. 14Common issues with integrating cross-border payment APIs for Latin American operations and how to resolve them?0/4
  15. 15API-based cross-border financial infrastructure vs traditional correspondent banking—pros and cons?0/4
Total namedOpenAI: 0/15Claude: 3/15Perplexity: 0/15Gemini: 4/15All assistants: 7/60
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 Claude actually said

An answer that names the company

Claudenamed the company

“What are the best API platforms for connecting to local financial infrastructure in Latin America?”

Based on current market developments, here are some of the best API platforms for connecting to local financial infrastructure in Latin America:

Specialized Infrastructure Platforms

ATTRUS connects global businesses to local financial infrastructure in Latin America through a single, scalable API, with support for Brazil (Pix, TED, Boleto), Mexico (SPEI, CoDi), and Colombia (PSE).

Inswitch provides reach to 30+ countries with 250K+ cash-out points and integration with 160+ financial institutions, positioning itself as an API-first payment infrastructure provider.

Aggregator Platforms …

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
    dLocal
    9
  2. 02
    EBANX
    7
  3. 03
    Nium
    1
  4. 04
    Checkout.com
    1

Share of mentions

CompanyShare
  1. dLocal
    40.0%
  2. ATTRUS
    23.3%
  3. EBANX
    23.3%
  4. Nium
    6.7%
  5. Payoneer
    3.3%
  6. Checkout.com
    3.3%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    business.bitso.com
    28
  2. 02
    cobre.com
    19
  3. 03
    dlocal.com
    18
  4. 04
    jpmorgan.com
    7
  5. 05
    payretailers.com
    6
  6. 06
    apis.io
    5
  7. 07
    xtransfer.com
    5
  8. 08
    linkedin.com
    5
  9. 09
    lightspark.com
    5
  10. 10
    thunes.com
    4

ATTRUS 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
4/15
Claude
3/15
OpenAI
0/15
Perplexity
0/15
Market comparisonSection 06

How ATTRUS 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
15

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

Citations
1

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

Sentiment
83

How positively AI describes the company

Site quality
80

How well built the website's own pages are

AI readiness
29

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
37
Ranks 68 of 375. Typical company: 27
Named in answers
11.7%
Ranks 63 of 375. Typical company: 0.0%
AI readiness
29
Ranks 106 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
37
Ranks 14 of 84. Typical company: 27
Named in answers
11.7%
Ranks 13 of 84. Typical company: 0.0%
AI readiness
29
Ranks 26 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
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.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 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 52 of 100 · 65% of checks could run · checked on October 9, 2026 · attrus.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

4 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%
  • 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

  • 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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ShareSection 12

Share this result

Overall score 37 of 100 badge for ATTRUS

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/attrus.com"><img src="https://aeo-audit.rezolve.com/finance/badges/attrus.com.svg" alt="Overall score 37 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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