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.
1,035 of 2,219
its rank by overall score
Closing balance

Named in

2of 60 answers

by 2 of 4 assistants

Statement note

What this means for Digital Transactions

AI assistants rarely name Digital Transactions in their answers, doing so in only 2 of 60 answers. Its overall score is 28 out of 100, ranking 1,035th of 2,219, which is similar to the typical company in its sector. The website passes 5 out of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Digital Transactions by name. AI assistants named it in 2 of the 60 answers. Counting only how often it is named, it ranks 96th of 346 in its sector. The typical advisory or services firm 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
28Overall score
  • Visibility4
  • Citations1
  • Sentiment50
  • Site quality73
  • AI readiness43
Summary of account
Named by AI in
3.3%
2 of 60 answers
Share of mentions
4.5%
of the mentions of it and its 5 peers
AI readiness
5/14
technical checks passed. Typical for its sector: 4
Rank in its sector
139 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

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

  1. 01Are there affordable options for accessing premium payments industry insights?0/4
  2. 02What are the best ways for payments professionals to stay updated on industry news in the United States?0/4
  3. 03What should I do if payment compliance updates are not covered promptly in industry publications?0/4
  4. 04How do print versus digital trade publications for payments professionals compare in terms of depth of analysis?0/4
  5. 05Are paid subscriptions to payments industry journals worth it for companies managing high transaction volumes?0/4
  6. 06What are the differences between mainstream business media and specialized payments industry journals?0/4
  7. 07Is there value in subscribing to multiple payment industry news sources for small businesses?0/4
  8. 08What free resources offer reliable news and updates on payment processing in the US?1/4
  9. 09How can payments professionals verify the credibility of industry news sources?0/4
  10. 10How can businesses use payments industry newsletters to inform strategic planning?0/4
  11. 11Which publications provide the latest insights into payment technology developments for businesses?1/4
  12. 12Where else can payments professionals find expert analysis besides industry magazines?0/4
  13. 13What resources are available for merchants seeking in-depth reporting on interchange fees?0/4
  14. 14What are alternatives to trade publications for following US payments industry trends?0/4
  15. 15What is the typical subscription cost for payments industry trade magazines in the US?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 1/15Gemini: 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 Perplexity actually said

An answer that names the company

Perplexitynamed the company

“What free resources offer reliable news and updates on payment processing in the US?”

The best free options combine independent payments journalism, official regulatory sources, and industry-association updates:

Payments Dive — Free news and analysis on U.S. payments, including ACH, fintech, digital wallets, regulation, and merchant payments; its free Daily Dive newsletter is useful for routine monitoring.

Digital Transactions — Specialist coverage for payments professionals, with reporting on processors, acquiring, cards, fraud, and payment technology.

PaymentsSource — Covers merchants, e-wallets, issuing and acquiring banks, compliance …

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
    PaymentsSource
    10
  2. 02
    Finextra
    5
  3. 03
    The Paypers
    5
  4. 04
    PYMNTS.com
    3

Share of mentions

CompanyShare
  1. PaymentsSource
    34.1%
  2. Finextra
    22.7%
  3. PYMNTS.com
    20.5%
  4. The Paypers
    18.2%
  5. Digital Transactions
    4.5%
  6. The Green Sheet
    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
    linkedin.com
    10
  2. 02
    paymentsindustryintelligence.com
    8
  3. 03
    paymentsjournal.com
    7
  4. 04
    blog.basistheory.com
    7
  5. 05
    bluesnap.com
    6
  6. 06
    en.wikipedia.org
    6
  7. 07
    paymentsdive.com
    6
  8. 08
    thepaypers.com
    5
  9. 09
    glenbrook.com
    5
  10. 10
    nilsonreport.com
    4

Digital Transactions is in the study as a research or media company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Digital Transactions 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
1

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

Sentiment
50

How positively AI describes the company

Site quality
73

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 advisory and services firms

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

Overall score
28
Ranks 139 of 346. Typical company: 27
Named in answers
3.3%
Ranks 96 of 346. Typical company: 0.0%
AI readiness
43
Ranks 13 of 346. Typical company: 29
Against its categorySection 08

Compared with research and media companies

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

Overall score
28
Ranks 44 of 73. Typical company: 31
Named in answers
3.3%
Ranks 35 of 73. Typical company: 3.3%
AI readiness
43
Ranks 3 of 73. 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. Digital Transactions 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 CardPublished
  • A2A Agent CardNot present
  • Agent SkillsNot present
  • API CatalogNot present
  • llms.txtNot present
  • WebMCPCould not check

The website runs on WooCommerce.

Show every check, for your technical team
Discoverability
72 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    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
41 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 1.3%
  • OAuth discoveryPartly met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 6.3%
  • OAuth Protected ResourcePassed

    Metadata telling agents which authorization server to use.

    study: 5.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.2%
  • MCP Server CardPassed

    A server card describing the MCP server, its transport and capabilities.

    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.digitaltransactions.net · 2,200 companies scanned

See how every company did, and how this was measured.

AI readinessSection 10

The checks behind the AI readiness score

5 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%
  • 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%
  • PassedOAuth Authorization Server discoverystudy: 5.2%
  • PassedOAuth 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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