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.
738 of 2,219
its rank by overall score
Place in its category
42nd of 177 consultancies
Closing balance

Named in

4of 60 answers

by 4 of 4 assistants

Statement note

What this means for Payments Professor

AI assistants name this consultancy in 6.7% of answers, while the typical company in its sector is not named at all. Its overall score is 33 out of 100, which places it 738th of 2,219. The website passes 2 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Payments Professor by name. AI assistants named it in 4 of the 60 answers. Counting only how often it is named, it ranks 62nd of 346 in its sector. The typical advisory or services firm is named in 0.0% of answers.

Overall score
33Overall score
  • Visibility12
  • Citations1
  • Sentiment75
  • Site quality80
  • AI readiness14
Summary of account
Named by AI in
6.7%
4 of 60 answers
Share of mentions
28.6%
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
101 of 346
by overall score, where the typical advisory or services firm scores 27

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Line itemsSection 01

Every question, and where the company came up

Payments Professor came up on 1 of 15 questions. Open any window to read that answer.

  1. 01Alternatives to on-site risk assessments for financial institutions managing electronic payments0/4
  2. 02Are electronic payments strategy courses beneficial for fintech compliance teams?0/4
  3. 03What are effective alternatives to traditional classroom training for ACH compliance?0/4
  4. 04Common mistakes when performing risk assessments for RTP implementations0/4
  5. 05How to identify training gaps in electronic payments compliance programs0/4
  6. 06What factors influence the cost of electronic payments education for financial institutions?0/4
  7. 07FedNow versus RTP: which payment rail is better suited for credit unions seeking faster payments?0/4
  8. 08How much should a credit union budget for a comprehensive payments risk assessment?0/4
  9. 09What are the best ways for banks and credit unions to train staff on FedNow compliance requirements?0/4
  10. 10Best practices for banks to navigate evolving ACH regulations0/4
  11. 11Highly recommended certificate programs for FedNow and real-time payments mastery4/4
  12. 12How can credit unions prepare for integrating instant payments systems like FedNow?0/4
  13. 13Is investing in electronic payments risk consultancy worth it for mid-sized banks?0/4
  14. 14How do ACH and RTP risk assessments differ for financial institutions?0/4
  15. 15Top sources for electronic payments education tailored to financial institutions in the US0/4
Total namedOpenAI: 1/15Claude: 1/15Perplexity: 1/15Gemini: 1/15All assistants: 4/60
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 Claude actually said

An answer that names the company

Claudenamed the company

“Highly recommended certificate programs for FedNow and real-time payments mastery”

I'll search for information about certificate programs focused on FedNow and real-time payments.Based on my search, here are the highly recommended certificate programs for FedNow and real-time payments mastery:

FedNow-Specific Programs

The Payments Professor's FedNow® Certificate Series

This certificate is broken into eight classes, each concluding with a quiz, with classes approximately one hour long delivered in an engaging webinar style incorporating video and slides. The program includes 9 hours of instruction covering FedNow® Basics, Faster Payments Basics, Liquidity Managem …

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
    PaymentsFirst
    2

Share of mentions

CompanyShare
  1. Payments Professor
    28.6%
  2. PaymentsFirst
    28.6%
  3. NEACH (New England ACH Association)
    28.6%
  4. U.S. Faster Payments Council (FPC) – Education & Resources
    14.3%
  5. Wespay Advisors
    0.0%
  6. Macha/PAR (Payments Advisory Resource)
    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
    nacha.org
    16
  2. 02
    frbservices.org
    8
  3. 03
    theclearinghouse.org
    7
  4. 04
    explore.fednow.org
    7
  5. 05
    bankershub.com
    7
  6. 06
    prosightfa.org
    6
  7. 07
    electran.org
    6
  8. 08
    linkedin.com
    5
  9. 09
    fdic.gov
    5
  10. 10
    paymentsprofessor.com (its own website)
    4

Payments Professor is in the study as a consultancy.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Claude
1/15
Gemini
1/15
OpenAI
1/15
Perplexity
1/15
Market comparisonSection 06

How Payments Professor 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
12

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

Citations
1

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

Sentiment
75

How positively AI describes the company

Site quality
80

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 advisory and services firms

346 companies in this sector. The gold tick on each bar is the typical company.

Overall score
33
Ranks 101 of 346. Typical company: 27
Named in answers
6.7%
Ranks 62 of 346. Typical company: 0.0%
AI readiness
14
Ranks 301 of 346. Typical company: 29
Against its categorySection 08

Compared with consultancies

177 companies in this category. The gold tick on each bar is the typical company.

Overall score
33
Ranks 42 of 177. Typical company: 27
Named in answers
6.7%
Ranks 26 of 177. Typical company: 0.0%
AI readiness
14
Ranks 154 of 177. 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. Payments Professor 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
31 of 100
  • robots.txtNot met

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

    study: 86.1%
  • SitemapPartly met

    Serve an XML sitemap and reference it 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.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 14 of 100 · 97% of checks could run · checked on October 9, 2026 · www.paymentsprofessor.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%
  • PassedXML 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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ShareSection 11

Share this result

Overall score 33 of 100 badge for Payments Professor

A badge of this result that you can show on your own website. Copy the code below.

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