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.
132 of 2,219
its rank by overall score
Place in its category
7th of 203 payment processors
Closing balance

Named in

15of 60 answers

by 4 of 4 assistants

Statement note

What this means for PagBrasil

AI assistants name this payment processor in 25% of answers, more often than the typical company in its sector, which is named in 0% of answers. It has an overall score of 42 out of 100, ranking 132nd of 2,219 companies. Its website passes 2 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned PagBrasil by name. AI assistants named it in 15 of the 60 answers. Counting only how often it is named, it ranks 26th of 375 in its sector. The typical cards and payments company is named in 0.0% of answers.

Overall score
42Overall score
  • Visibility23
  • Citations13
  • Sentiment80
  • Site quality87
  • AI readiness14
Summary of account
Named by AI in
25.0%
15 of 60 answers
Share of mentions
20.5%
of the mentions of it and its 5 peers
AI readiness
2/14
technical checks passed. Typical for its sector: 4
Rank in its sector
23 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

PagBrasil came up on 8 of 15 questions. Open any window to read that answer.

  1. 01How do local Brazilian payment processors compare to global gateways for gaming businesses?1/4
  2. 02Pix vs boleto: which is better for fast payments from Brazilian shoppers?0/4
  3. 03Do Brazilian digital payment solutions help reduce cart abandonment rates for US-based online stores?1/4
  4. 04How can international gaming companies accept recurring payments from Brazilian players?2/4
  5. 05Are there global gateways that support all major Brazilian digital payment methods without a local partner?1/4
  6. 06How much do Brazilian payment solutions typically charge in transaction fees for cross-border payments?0/4
  7. 07What are common ways to split payments at checkout for cross-border stores operating in Brazil?0/4
  8. 08Which digital payment platforms support credit, debit, Pix, and boleto for international e-commerce?3/4
  9. 09What are some alternatives to using a local payments expert for Brazilian transactions?2/4
  10. 10What are the usual costs associated with supporting multiple Brazilian payment methods on a US e-commerce site?0/4
  11. 11Is it worth using a specialized Brazilian payment platform for cross-border e-commerce?0/4
  12. 12What payment platforms offer real-time cross-border payment options for Brazilian ecommerce sales?3/4
  13. 13What are the best payment solutions for accepting online transactions from customers in Brazil?2/4
  14. 14How can I resolve failed Pix transactions for users in Brazil?0/4
  15. 15Why are my Brazilian customers having issues paying with boleto on my website?0/4
Total namedOpenAI: 2/15Claude: 2/15Perplexity: 5/15Gemini: 6/15All assistants: 15/60
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

“How do local Brazilian payment processors compare to global gateways for gaming businesses?”

Short answer

Local Brazilian processors (Cielo, Rede, Stone, Pagar.me, PagBrasil partners, etc.) typically give better access to Brazil-specific payment methods (Pix, boleto, local debit, parcelled credit), faster settlement options, lower local payment costs and smoother regulatory/merchant onboarding for Brazilian customers. (docs.cielo.com.br)

Global gateways (Stripe, Adyen, PayPal, Checkout.com, Worldpay, etc.) give easier multi-country scaling, more unified tooling (single API + global risk stack), better support for many card …

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
    EBANX
    18
  2. 02
    Adyen
    13
  3. 03
    dLocal
    12
  4. 04
    PayU
    3

Share of mentions

CompanyShare
  1. EBANX
    31.5%
  2. dLocal
    24.7%
  3. PagBrasil
    20.5%
  4. Adyen
    19.2%
  5. PayU
    4.1%
  6. Worldline
    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
    pagbrasil.com (its own website)
    35
  2. 02
    photonpay.com
    19
  3. 03
    bcb.gov.br
    15
  4. 04
    paritydeals.com
    13
  5. 05
    payatlas.com
    11
  6. 06
    stripe.com
    9
  7. 07
    rapyd.net
    9
  8. 08
    xtransfer.com
    7
  9. 09
    knowledge.antom.com
    6
  10. 10
    dlocal.com
    5

PagBrasil is in the study as a payment processor.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
6/15
Perplexity
5/15
Claude
2/15
OpenAI
2/15
Market comparisonSection 06

How PagBrasil 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
23

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

Citations
13

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

Sentiment
80

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
14

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
42
Ranks 23 of 375. Typical company: 27
Named in answers
25.0%
Ranks 26 of 375. Typical company: 0.0%
AI readiness
14
Ranks 300 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
42
Ranks 7 of 203. Typical company: 27
Named in answers
25.0%
Ranks 9 of 203. Typical company: 0.0%
AI readiness
14
Ranks 148 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. PagBrasil 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
25 of 100
  • Markdown negotiationNot met

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

    study: 6.2%
  • llms.txtPartly 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 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 31 of 100 · 97% of checks could run · checked on October 9, 2026 · www.pagbrasil.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

2 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

  • Not metrobots.txt publishedstudy: 85.1%
  • Not metXML sitemapstudy: 79.4%
  • PassedHTTP 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%
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ShareSection 11

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Overall score 42 of 100 badge for PagBrasil

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/pagbrasil.com"><img src="https://aeo-audit.rezolve.com/finance/badges/pagbrasil.com.svg" alt="Overall score 42 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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