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

dLocal

dlocal.com

Cross-border payments and remittancesCards and payments

Money20/20 attendee

Statement period
October 9, 2026
when the AI assistants were asked
Account no.
57 of 2,219
its rank by overall score
Place in its category
5th of 84 cross-border payments providers
Closing balance

Named in

11of 60 answers

by 4 of 4 assistants

Statement note

What this means for dLocal

AI assistants name dLocal in 18.3% of answers, while the typical company in its sector is named in 0% of answers. dLocal has an overall score of 45 out of 100, ranking 57th of 2,219 companies. Its website passes 4 of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned dLocal by name. AI assistants named it in 11 of the 60 answers. Counting only how often it is named, it ranks 39th of 375 in its sector. The typical cards and payments company is named in 0.0% of answers.

Overall score
45Overall score
  • Visibility24
  • Citations9
  • Sentiment91
  • Site quality87
  • AI readiness29
Summary of account
Named by AI in
18.3%
11 of 60 answers
Share of mentions
36.7%
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
8 of 375
by overall score, where the typical cards and payments company scores 27

Get the full report on dLocal as a PDF

Enter your work email to download it.

We’ll use your email to follow up about this report. Privacy policy

Line itemsSection 01

Every question, and where the company came up

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

  1. 01Are there setup or maintenance fees for global payment infrastructure services aimed at US businesses?0/4
  2. 02Is investing in a unified global payment API worth it for US businesses entering Latin America, Asia, or Africa?1/4
  3. 03Difference between cross-border payment APIs and traditional bank wire transfers for international expansion0/4
  4. 04Top features to look for in a payment infrastructure service for global businesses0/4
  5. 05Which payment infrastructure tools support the most local payment methods in emerging regions?3/4
  6. 06What are some alternatives to API-driven payment infrastructure for scaling in emerging markets?1/4
  7. 07Best way for US enterprises to accept local payment methods from customers in Africa and Asia4/4
  8. 08How do all-in-one payment infrastructure solutions compare to using multiple local providers in emerging markets?0/4
  9. 09Common issues when integrating cross-border payment platforms for international ecommerce0/4
  10. 10How much do cross-border payment platforms typically charge for transactions in emerging markets?0/4
  11. 11Other options besides unified payment platforms for handling cross-border ecommerce transactions0/4
  12. 12How can a single API simplify payouts for global payroll in emerging markets?0/4
  13. 13Why are payments failing when using an API-based infrastructure to process transactions in emerging markets?0/4
  14. 14What are the best cross-border payment platforms for expanding into emerging markets?2/4
  15. 15What should US merchants consider before choosing a cross-border payment solution for emerging markets?0/4
Total namedOpenAI: 2/15Claude: 3/15Perplexity: 3/15Gemini: 3/15All assistants: 11/60
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

“What are the best cross-border payment platforms for expanding into emerging markets?”

For most companies expanding into emerging markets, the strongest shortlist is dLocal, Rapyd, EBANX, Thunes, and Airwallex. The best choice depends on whether you need local consumer checkout, mass payouts, B2B collections, or broader treasury capabilities.

Platform · Best for · Key strengths · Main limitation

dLocal · E-commerce and marketplace expansion · Local pay-ins and payouts across 40+ high-growth countries, with roughly 900 payout methods reported · Strongest in selected emerging markets rather than universal global coverage

Rapyd · Embed …

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
    Checkout.com
    6
  2. 02
    EBANX
    5
  3. 03
    Rapyd
    5
  4. 04
    PayU
    3

Share of mentions

CompanyShare
  1. dLocal
    36.7%
  2. Checkout.com
    23.3%
  3. EBANX
    16.7%
  4. Rapyd
    16.7%
  5. PayU
    6.7%
  6. Astropay
    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
    dlocal.com (its own website)
    43
  2. 02
    airwallex.com
    26
  3. 03
    stripe.com
    20
  4. 04
    thunes.com
    15
  5. 05
    connectpay.com
    11
  6. 06
    nuvei.com
    11
  7. 07
    rapyd.net
    11
  8. 08
    aciworldwide.com
    9
  9. 09
    wise.com
    9
  10. 10
    solidgate.com
    6

dLocal 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
3/15
Perplexity
3/15
Claude
3/15
OpenAI
2/15
Market comparisonSection 06

How dLocal 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
24

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

Citations
9

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

Sentiment
91

How positively AI describes the company

Site quality
87

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
45
Ranks 8 of 375. Typical company: 27
Named in answers
18.3%
Ranks 39 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
45
Ranks 4 of 84. Typical company: 27
Named in answers
18.3%
Ranks 7 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
  • ACPNot present
  • UCPCould not check
Interfaces for AI agents
  • MCP Server CardNot present
  • A2A Agent CardNot present
  • Agent SkillsNot present
  • API CatalogCould not check
  • llms.txtCould not check
  • 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.txtCould not check

    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.mdCould not check

    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 31 of 100 · 79% of checks could run · checked on October 9, 2026 · www.dlocal.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.

Take it with you

Get the full report on dLocal as a PDF

Every number on this page in a PDF you can keep and share with your team. Enter your work email to download it.

We’ll use your email to follow up about this report. Privacy policy

ShareSection 12

Share this result

Overall score 45 of 100 badge for dLocal

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/dlocal.com"><img src="https://aeo-audit.rezolve.com/finance/badges/dlocal.com.svg" alt="Overall score 45 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
End of statement
All 2,219 companiesHow we measured this
Next step

Want AI assistants to name your company?

Book a 30-minute demo to see Rezolve Ai in action and what it can do for your business.

Request a demo