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.
1,862 of 2,219
its rank by overall score
Place in its category
154th of 203 payment processors
Closing balance

Named in

0of 60, its tower is dark

by 0 of 4 assistants

Statement note

What this means for UNIVA Paycast Limited

AI assistants do not name this payment processor in any of their 60 answers, while they name PayPal, Square, and Stripe. Its overall score is 25 out of 100, ranking 1,862nd of 2,219 companies. The company's website passes 4 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned UNIVA Paycast Limited by name. AI assistants named it in none of the 60 answers. Counting only how often it is named, it ranks 179th 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
25Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality73
  • AI readiness29
Summary of account
Named by AI in
0.0%
0 of 60 answers
Share of mentions
0.0%
of the mentions of it and its 5 peers
AI readiness
4/14
technical checks passed. Typical for its sector: 4
Rank in its sector
280 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

UNIVA Paycast Limited came up on 0 of 15 questions. Open any window to read that answer.

  1. 01Payment gateways vs payment aggregators: which is better for small businesses?0/4
  2. 02Are all-in-one payment platforms a good choice for organizations needing both e-commerce and point-of-sale functionality?0/4
  3. 03What should I do if my payment service provider rejects a multi-currency transaction?0/4
  4. 04How do payment platforms compare to traditional merchant accounts for retail stores?0/4
  5. 05How are payment processing fees structured for platforms that handle both online and offline payments?0/4
  6. 06Best ways to integrate a payment platform for both online store and physical shop payments?0/4
  7. 07Is it worth switching to a payment service provider that includes local donation solutions?0/4
  8. 08Options for payment solutions focused exclusively on either in-person or online transactions?0/4
  9. 09How can nonprofits use payment platforms to support local fundraising or donation campaigns?0/4
  10. 10Common reasons payment platforms fail to process in-person transactions and how to fix them?0/4
  11. 11What are typical monthly costs for payment service providers supporting multi-currency transactions in the US?0/4
  12. 12What are the best payment platforms for US businesses looking to accept both online and in-person payments?0/4
  13. 13Which payment service providers offer multi-currency support for international transactions in the US?0/4
  14. 14Emerging trends in payment technology for US businesses accepting donations at local events?0/4
  15. 15What are some alternatives to unified payment platforms for handling retail and e-commerce payments separately?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 0/15All assistants: 0/60
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 Gemini actually said

The company is not named in this answer

Geminidid not name the company

“Payment gateways vs payment aggregators: which is better for small businesses?”

The choice between a payment gateway and a payment aggregator depends on the specific needs of a small business. While both facilitate online payments, they differ in their setup, functionality, and the level of control they offer.

Payment Aggregators

Payment aggregators (also known as Payment Service Providers or Payfacs) simplify the payment process significantly, making them generally more suitable for small businesses and startups.

Simplified Onboarding: Aggregators allow businesses to accept electronic payments without the need to set up their own separate merchant account. …

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.

Named instead

CompanyTimes named
  1. 01
    PayPal
    18
  2. 02
    Square
    18
  3. 03
    Stripe
    17
  4. 04
    Adyen
    9
  5. 05
    Braintree
    7

Share of mentions

CompanyShare
  1. PayPal
    28.2%
  2. Stripe
    27.2%
  3. Square
    20.4%
  4. Adyen
    16.5%
  5. Braintree
    7.8%
  6. UNIVA Paycast Limited
    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
    airwallex.com
    12
  2. 02
    stripe.com
    12
  3. 03
    wise.com
    8
  4. 04
    shopify.com
    8
  5. 05
    sensepass.com
    8
  6. 06
    uschamber.com
    7
  7. 07
    solidgate.com
    6
  8. 08
    helcim.com
    5
  9. 09
    fundraiseup.com
    5
  10. 10
    paypal.com
    5

UNIVA Paycast Limited is in the study as a payment processor.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How UNIVA Paycast Limited 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
0

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
73

How well built the website's own pages are

AI readiness
29

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
25
Ranks 280 of 375. Typical company: 27
Named in answers
0.0%
Ranks 179 of 375. Typical company: 0.0%
AI readiness
29
Ranks 106 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
25
Ranks 142 of 203. Typical company: 27
Named in answers
0.0%
Ranks 91 of 203. Typical company: 0.0%
AI readiness
29
Ranks 59 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
Can an AI agent check out here?

Not by itself. UNIVA Paycast Limited 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
77 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 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 25 of 100 · 97% of checks could run · checked on October 9, 2026 · univapaycast.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

4 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

  • 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

  • GPTBotblocked
  • ClaudeBotblocked
  • Anthropic-AIblocked
  • Google-Extendedblocked
  • Applebot-Extendedblocked
  • Meta-ExternalAgentblocked
  • FacebookBotblocked
  • Bytespiderblocked
  • CCBotblocked
  • Diffbotblocked
  • Omgilibotblocked

AI search

  • OAI-SearchBotblocked
  • Claude-SearchBotblocked
  • PerplexityBotblocked
  • Applebotblocked
  • Amazonbotblocked
  • YouBotblocked

Answering questions

  • ChatGPT-Userblocked
  • Claude-Userblocked
  • Perplexity-Userblocked
  • DuckAssistBotblocked
  • MistralAI-Userblocked

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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