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

PPRO

ppro.com

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.
2,089 of 2,219
its rank by overall score
Place in its category
179th of 203 payment processors
Closing balance

Named in

2of 60 answers

by 2 of 4 assistants

Statement note

What this means for PPRO

AI assistants rarely name this payment processor in their answers, doing so in 2 out of 60 responses. Adyen and Checkout.com are also named in those answers. Its overall score is 22 out of 100, ranking 2,089th of 2,219 companies. The website passes 1 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned PPRO by name. AI assistants named it in 2 of the 60 answers. Counting only how often it is named, it ranks 114th of 375 in its sector. The typical cards and payments company is named in 0.0% of answers.

Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its peers.

Overall score
22Overall score
  • Visibility4
  • Citations2
  • Sentiment50
  • Site quality60
  • AI readiness7
Summary of account
Named by AI in
3.3%
2 of 60 answers
Share of mentions
6.3%
of the mentions of it and its 5 peers
AI readiness
1/14
technical checks passed. Typical for its sector: 4
Rank in its sector
340 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

PPRO came up on 2 of 15 questions. Open any window to read that answer.

  1. 01Cross-border payment orchestration vs payment aggregator—what’s the difference for global e-commerce?0/4
  2. 02What’s the process for enabling the most popular local payment options in Latin America for a US e-commerce site?0/4
  3. 03What features should I look for in a global payment orchestration provider?0/4
  4. 04What are some alternatives to using a dedicated cross-border payment orchestration platform for international payments?0/4
  5. 05How are cross-border payment orchestration platforms typically priced for merchants?0/4
  6. 06Do global payment orchestration platforms actually increase checkout conversion rates for international shoppers?1/4
  7. 07Are there additional fees for activating or managing local payment methods through a payment orchestration provider?1/4
  8. 08How can payment orchestration help a subscription-based business grow internationally?0/4
  9. 09Is a cross-border payment orchestration platform worth it for a US online retailer expanding to Europe?0/4
  10. 10How does a payment orchestration platform differ from using a traditional payment gateway for international sales?0/4
  11. 11How do you handle failed transactions when accepting local payment methods across different countries?0/4
  12. 12What are the best cross-border payment orchestration platforms for e-commerce businesses selling internationally?0/4
  13. 13Integrated payment orchestration platforms compared to building individual local payment integrations—what are the trade-offs?0/4
  14. 14What are common reasons for delays or errors in cross-border payment processing?0/4
  15. 15Which solutions help US merchants easily accept local payment methods in multiple countries?0/4
Total namedOpenAI: 1/15Claude: 0/15Perplexity: 0/15Gemini: 1/15All assistants: 2/60
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

“Do global payment orchestration platforms actually increase checkout conversion rates for international shoppers?”

… Payment choice: many shoppers will abandon if their preferred local method isn’t available. Studies repeatedly show a large share of shoppers expect local methods/currency and will drop out if they’re missing. (ppro.com)

Local currency / pricing clarity: showing prices in the shopper’s currency (or offering DCC properly) reduces hesitation and chargeback/confusion friction. (worldpay.com)

Authorizati …

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
    Adyen
    8
  2. 02
    Checkout.com
    5
  3. 03
    Rapyd
    4
  4. 04
    Nuvei
    1
  5. 05
    Worldline
    1

Share of mentions

CompanyShare
  1. Checkout.com
    37.5%
  2. Adyen
    31.3%
  3. Rapyd
    12.5%
  4. PPRO
    6.3%
  5. Worldline
    6.3%
  6. Nuvei
    6.3%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    solidgate.com
    15
  2. 02
    knowledge.antom.com
    12
  3. 03
    stripe.com
    11
  4. 04
    corefy.com
    11
  5. 05
    wise.com
    8
  6. 06
    primer.io
    8
  7. 07
    whop.com
    7
  8. 08
    y.uno
    7
  9. 09
    checkoutchamp.com
    7
  10. 10
    paddle.com
    6

PPRO 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
1/15
OpenAI
1/15
Claude
0/15
Perplexity
0/15
Market comparisonSection 06

How PPRO 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
4

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

Citations
2

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

Sentiment
50

How positively AI describes the company

Site quality
60

How well built the website's own pages are

AI readiness
7

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
22
Ranks 340 of 375. Typical company: 27
Named in answers
3.3%
Ranks 114 of 375. Typical company: 0.0%
AI readiness
7
Ranks 333 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
22
Ranks 179 of 203. Typical company: 27
Named in answers
3.3%
Ranks 51 of 203. Typical company: 0.0%
AI readiness
7
Ranks 174 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

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. PPRO 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
  • MPPCould not check
  • 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
100 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 headersCould not check

    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
100 of 100
  • Markdown negotiationCould not check

    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 43 of 100 · 81% of checks could run · checked on October 9, 2026 · www.ppro.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

1 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%
  • 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%
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End of statement
All 2,219 companiesHow we measured this
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