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, 2026
when the AI assistants were asked
Account no.
1,240 of 2,219
its rank by overall score
Place in its category
94th of 203 payment processors
Closing balance

Named in

2of 60 answers

by 1 of 4 assistants

Statement note

What this means for Global Payments

AI assistants rarely name this payment processor, mentioning it in 2 of 60 answers. In the same answers, they also name Square and Stripe. Its overall score is 27 out of 100, which matches the typical company in its sector, and it ranks 1,240th of 2,219 overall. Its website passes 2 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Global Payments 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
27Overall score
  • Visibility3
  • Citations0
  • Sentiment50
  • Site quality87
  • AI readiness14
Summary of account
Named by AI in
3.3%
2 of 60 answers
Share of mentions
3.1%
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
186 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

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

  1. 01Alternatives to traditional merchant account payment processors for small businesses0/4
  2. 02How to estimate the total cost of ownership for payment processing solutions0/4
  3. 03What are typical fees for payment processors and point of sale systems in the US?0/4
  4. 04Top point of sale systems for retail stores looking for flexible payment options0/4
  5. 05What are the best payment processing solutions for small businesses in the US?0/4
  6. 06Common issues with payment processing not working and how to fix them0/4
  7. 07What are some non-bank payment processing options for online businesses?0/4
  8. 08Solutions for taking payments anytime, anywhere for mobile businesses1/4
  9. 09Options for businesses seeking embedded payment services without long-term contracts1/4
  10. 10How to resolve declined transactions in payment processing systems0/4
  11. 11Payment processing options that help streamline sales for restaurants0/4
  12. 12Is it worth investing in all-in-one point of sale systems for a growing business?0/4
  13. 13Integrated point of sale software vs standalone payment terminals—what's the difference?0/4
  14. 14Cloud-based payment processing vs traditional in-store payment systems0/4
  15. 15Should businesses choose software-based payment solutions over traditional cash registers?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 2/15Gemini: 0/15All 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 Perplexity actually said

An answer that names the company

Perplexitynamed the company

“Solutions for taking payments anytime, anywhere for mobile businesses”

… For a simple mobile operation, Tap to Pay plus payment links may be enough. Businesses that need inventory, receipts, tipping, or employee access should choose a full mobile POS with a Bluetooth reader. Examples of providers offering these capabilities include Stripe, Chase, U.S. Bank, QuickBooks, Global Payments, and other mobile merchant-service providers.

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
    Square
    45
  2. 02
    Stripe
    32
  3. 03
    Toast
    8

Share of mentions

CompanyShare
  1. Square
    32.3%
  2. Stripe
    30.8%
  3. Fiserv (Clover)
    26.2%
  4. Toast
    7.7%
  5. Global Payments
    3.1%
  6. Worldpay from FIS
    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
    squareup.com
    18
  2. 02
    fitsmallbusiness.com
    13
  3. 03
    stripe.com
    13
  4. 04
    finix.com
    12
  5. 05
    shopify.com
    9
  6. 06
    technologyadvice.com
    9
  7. 07
    business.com
    7
  8. 08
    wise.com
    6
  9. 09
    uschamber.com
    6
  10. 10
    quickbooks.intuit.com
    5

Global Payments is in the study as a payment processor.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Global Payments 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
3

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
50

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
27
Ranks 186 of 375. Typical company: 27
Named in answers
3.3%
Ranks 114 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
27
Ranks 94 of 203. Typical company: 27
Named in answers
3.3%
Ranks 51 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

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. Global Payments 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.txtNot present
  • 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
0 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.txtNot 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 30 of 100 · 81% of checks could run · checked on October 9, 2026 · globalpayments.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

  • Passedrobots.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%
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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