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

Kyriba

kyriba.com

Banking and fintech infrastructureFinancial technology and data

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
71 of 2,219
its rank by overall score
Place in its category
12th of 315 fintech infrastructure companies
Closing balance

Named in

15of 60 answers

by 4 of 4 assistants

Statement note

What this means for Kyriba

AI assistants name this fintech infrastructure company in 25% of answers, which is much higher than the typical company in its sector at 1.7%. Its overall score is 44 out of 100, ranking 71st of 2,219 and 25th of 574 in its sector. The website passes 5 of 14 key technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Kyriba by name. AI assistants named it in 15 of the 60 answers. Counting only how often it is named, it ranks 30th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
44Overall score
  • Visibility24
  • Citations0
  • Sentiment89
  • Site quality87
  • AI readiness50
Summary of account
Named by AI in
25.0%
15 of 60 answers
Share of mentions
25.0%
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
25 of 574
by overall score, where the typical financial technology and data company scores 29

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Line itemsSection 01

Every question, and where the company came up

Kyriba came up on 7 of 15 questions. Open any window to read that answer.

  1. 01Are there cost differences between subscription-based and perpetual license treasury systems?0/4
  2. 02How do global organizations use liquidity management tools to unify treasury data from multiple ERPs?1/4
  3. 03How can a treasury system help identify and reduce idle cash across multiple bank accounts?0/4
  4. 04What are effective alternatives to cloud-based treasury management platforms for multinational enterprises?1/4
  5. 05Best cloud-based cash management platforms for US-based corporate treasury teams?4/4
  6. 06Is it worth investing in a comprehensive treasury and liquidity management platform for a Fortune 500 company?3/4
  7. 07What are the top enterprise liquidity management solutions for large corporations?4/4
  8. 08Which open-source or API-driven solutions can replace traditional enterprise liquidity management software?1/4
  9. 09Cloud-based liquidity platforms vs on-premises treasury solutions: which is better for risk mitigation?0/4
  10. 10How do integrated treasury management systems compare to standalone cash forecasting tools?0/4
  11. 11What pricing models are typical for enterprise-grade treasury management software in the US?1/4
  12. 12What should enterprises look for when selecting a corporate payments automation solution?0/4
  13. 13Which treasury risk management features are most important for large corporate finance teams?0/4
  14. 14Common applications of real-time cash visibility in enterprise treasury operations?0/4
  15. 15Why might a company’s payment automation solution fail to connect with all of its banking partners?0/4
Total namedOpenAI: 3/15Claude: 4/15Perplexity: 3/15Gemini: 5/15All assistants: 15/60
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 cloud-based cash management platforms for US-based corporate treasury teams?”

For most US corporate treasury teams, the strongest shortlist is Kyriba, GTreasury/Ripple Treasury, TIS, FIS Treasury and Risk Manager, and Nomentia. Kyriba is the best broad enterprise option; GTreasury/Ripple Treasury is a strong alternative for cash, liquidity, and risk; and TIS is particularly compelling when payment control and bank connectivity are priorities. Kyriba supports forecasting, transaction monitoring, investment accounting, bank relationship management, netting, and fee analysis.

Recommended platforms

Platform · Best for · Key strengths · Watch-outs …

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
    GTreasury
    12
  2. 02
    ION Treasury
    4
  3. 03
    SAP Treasury and Risk Management
    2

Share of mentions

CompanyShare
  1. Kyriba
    25.0%
  2. Kyriba
    25.0%
  3. GTreasury
    21.7%
  4. ION Treasury
    13.3%
  5. SAP Treasury and Risk Management
    10.0%
  6. TreasuryXpress (a Bottomline company)
    5.0%
ReferrersSection 04

Websites the AI used as sources

How many times each website was listed as a source in these answers

  1. 01
    treasury.ripple.com
    20
  2. 02
    highradius.com
    18
  3. 03
    brex.com
    7
  4. 04
    guideflow.com
    6
  5. 05
    deloitte.com
    5
  6. 06
    cobase.com
    5
  7. 07
    debtbook.com
    5
  8. 08
    sourceforge.net
    4
  9. 09
    fisglobal.com
    4
  10. 10
    agicap.com
    4

Kyriba is in the study as a fintech infrastructure company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
5/15
Claude
4/15
OpenAI
3/15
Perplexity
3/15
Market comparisonSection 06

How Kyriba 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
24

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
89

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
50

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 financial technology and data companies

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

Overall score
44
Ranks 25 of 574. Typical company: 29
Named in answers
25.0%
Ranks 30 of 574. Typical company: 1.7%
AI readiness
50
Ranks 15 of 574. Typical company: 29
Against its categorySection 08

Compared with fintech infrastructure companies

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

Overall score
44
Ranks 12 of 315. Typical company: 28
Named in answers
25.0%
Ranks 7 of 315. Typical company: 1.7%
AI readiness
50
Ranks 10 of 315. 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. Kyriba 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
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
25 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 6.2%
  • llms.txtPartly met

    Publish an llms.txt with a short summary and the key links.

    study: 31.0%
Bot access control
63 of 100
  • AI bot rulesPassed

    Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.

    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.kyriba.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

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%
  • Passedllms.txt publishedstudy: 28.1%
  • PassedToken budget (page weight)study: 97.3%

Bot Access Control

  • PassedExplicit 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 rules for 13 AI crawlers by name. All others follow its general rules.

Training AI

  • GPTBot*partly
  • ClaudeBot*partly
  • Anthropic-AI*partly
  • Google-Extended*partly
  • Applebot-Extended*partly
  • Meta-ExternalAgent*partly
  • FacebookBotpartly
  • Bytespider*partly
  • CCBot*partly
  • Diffbotpartly
  • Omgilibotpartly

AI search

  • OAI-SearchBot*partly
  • Claude-SearchBotpartly
  • PerplexityBot*partly
  • Applebotpartly
  • Amazonbot*partly
  • YouBotpartly

Answering questions

  • ChatGPT-User*partly
  • Claude-Userpartly
  • Perplexity-User*partly
  • 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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ShareSection 12

Share this result

Overall score 44 of 100 badge for Kyriba

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/kyriba.com"><img src="https://aeo-audit.rezolve.com/finance/badges/kyriba.com.svg" alt="Overall score 44 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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