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

Checkout

checkout.com

Payment processors, acquirers and point of saleCards and payments

Money20/20 attendee

Statement period
October 9 to 13, 2026
when the AI assistants were asked
Account no.
232 of 2,219
its rank by overall score
Place in its category
15th of 203 payment processors
Closing balance

Named in

11of 60 answers

by 4 of 4 assistants

Statement note

What this means for Checkout

AI assistants name Checkout in 18.3% of answers, while the typical company in its sector is not named at all. Its overall score is 40 out of 100, ranking 232nd of 2,219 companies. Checkout's website passes 6 out of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Checkout 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
40Overall score
  • Visibility19
  • Citations3
  • Sentiment83
  • Site quality80
  • AI readiness43
Summary of account
Named by AI in
18.3%
11 of 60 answers
Share of mentions
21.2%
of the mentions of it and its 5 peers
AI readiness
6/14
technical checks passed. Typical for its sector: 4
Rank in its sector
42 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

Checkout came up on 6 of 15 questions. Open any window to read that answer.

  1. 01How do payment processors help large retailers fight payment fraud?0/4
  2. 02How do direct acquiring and indirect acquiring differ for enterprise payment processing?0/4
  3. 03Modular vs. all-in-one payment platforms—what's better for scaling businesses?0/4
  4. 04Alternatives to traditional acquiring banks for enterprise-grade online payment processing2/4
  5. 05How do interchange fees impact total payment processing costs for mid-sized businesses?0/4
  6. 06Top features to look for in a high-performance payment gateway for large online retailers1/4
  7. 07What are some options besides direct acquiring for managing payments at scale?1/4
  8. 08Why are my online transactions being declined by my payment processing platform?0/4
  9. 09Average costs and fees for enterprise-level payment processing in the US1/4
  10. 10What are the main benefits of integrated analytics in enterprise payment platforms?0/4
  11. 11Best payment processing systems for optimizing acceptance rates in US e-commerce2/4
  12. 12Is it worth investing in a modular payment processing solution for a growing enterprise?0/4
  13. 13How can enterprises reduce false declines in online payment systems?0/4
  14. 14Do high-acceptance-rate payment processors really reduce lost revenue for online businesses?0/4
  15. 15What are the best enterprise payment processors for US-based e-commerce businesses?4/4
Total namedOpenAI: 1/15Claude: 3/15Perplexity: 4/15Gemini: 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

“Best payment processing systems for optimizing acceptance rates in US e-commerce”

For US e-commerce, the strongest shortlist is Stripe, Adyen, Braintree, Checkout.com, and a merchant-of-record or orchestration layer such as Spreedly or Primer. The best choice depends less on headline processing fees than on network-token support, intelligent retries, account-updater coverage, fraud tuning, wallet availability, and routing flexibility—factors that directly influence authorization rates.

Provider · Best for acceptance optimization · Key strengths · Main caveat

Stripe · Startups and mid-market merchants · Strong APIs, network tokens, automatic …

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
    Stripe
    13
  2. 02
    Adyen
    12
  3. 03
    Checkout.com
    9
  4. 04
    Worldpay
    6

Share of mentions

CompanyShare
  1. Stripe
    34.6%
  2. Adyen
    28.8%
  3. Checkout
    21.2%
  4. Worldpay
    15.4%
  5. PayPal for Enterprise (Braintree)
    0.0%
  6. Chase Payment Solutions
    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
    stripe.com
    14
  2. 02
    nmi.com
    10
  3. 03
    whop.com
    9
  4. 04
    airwallex.com
    8
  5. 05
    nuvei.com
    7
  6. 06
    checkout.com (its own website)
    7
  7. 07
    corporate.visa.com
    6
  8. 08
    corefy.com
    5
  9. 09
    payrails.com
    4
  10. 10
    solidgate.com
    4

Checkout 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
4/15
Claude
3/15
Gemini
3/15
OpenAI
1/15
Market comparisonSection 06

How Checkout 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
19

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

Citations
3

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
43

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
40
Ranks 42 of 375. Typical company: 27
Named in answers
18.3%
Ranks 39 of 375. Typical company: 0.0%
AI readiness
43
Ranks 15 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
40
Ranks 15 of 203. Typical company: 27
Named in answers
18.3%
Ranks 13 of 203. Typical company: 0.0%
AI readiness
43
Ranks 8 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 0: Not yet agent-ready. Agents struggle to find basic information about the site.

To reach level 1:
  • 2 of robots.txt, Sitemap, Link headers
Can an AI agent check out here?

Not by itself. Checkout 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
36 of 100
  • robots.txtNot met

    Publish a valid robots.txt with crawl rules and a Sitemap line.

    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
100 of 100
  • Markdown negotiationPassed

    Requests sent with Accept: text/markdown receive a markdown version of the page.

    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 37 of 100 · 97% of checks could run · checked on October 9, 2026 · www.checkout.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

6 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%
  • PassedHTTP Link headers (RFC 8288)study: 42.5%

Content Accessibility

  • PassedMarkdown 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%
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ShareSection 11

Share this result

Overall score 40 of 100 badge for Checkout

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/checkout.com"><img src="https://aeo-audit.rezolve.com/finance/badges/checkout.com.svg" alt="Overall score 40 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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