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

Kanmon

kanmon.com

Small business banking and lendingBanking

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
411 of 2,219
its rank by overall score
Place in its category
11th of 38 small business banking providers
Closing balance

Named in

5of 60 answers

by 4 of 4 assistants

Statement note

What this means for Kanmon

AI assistants name Kanmon in 8.3% of answers, which is above the typical company in its sector that is not named at all. Kanmon has an overall score of 38 out of 100, ranking 411th of 2,219 overall and 60th of 394 in its sector. Its website passes 4 out of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Kanmon by name. AI assistants named it in 5 of the 60 answers. Counting only how often it is named, it ranks 86th of 394 in its sector. The typical banking company is named in 0.0% of answers.

Overall score
38Overall score
  • Visibility12
  • Citations6
  • Sentiment88
  • Site quality80
  • AI readiness29
Summary of account
Named by AI in
8.3%
5 of 60 answers
Share of mentions
20.0%
of the mentions of it and its 5 peers
AI readiness
4/14
technical checks passed. Typical for its sector: 3
Rank in its sector
60 of 394
by overall score, where the typical banking company scores 28

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Line itemsSection 01

Every question, and where the company came up

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

  1. 01How do platforms integrate working capital solutions into their business software?1/4
  2. 02What can cause delays in payout when using an embedded working capital solution integrated into business software?0/4
  3. 03Embedded invoice financing versus revenue-based financing: Pros and cons for software platforms?0/4
  4. 04Which types of small and midsize businesses benefit most from embedded working capital solutions within their software?0/4
  5. 05Why might a platform’s embedded lending solution not be delivering funding offers to all eligible business customers?0/4
  6. 06How do fees and rates typically work for embedded working capital solutions offered through software platforms?0/4
  7. 07How does embedded lending compare to traditional business loan application processes for small businesses?0/4
  8. 08What should B2B software providers look for when choosing an embedded lending platform?0/4
  9. 09Alternative ways for small business software providers to support clients’ cash flow needs besides embedded financing?0/4
  10. 10Is it worth it for a software platform to offer embedded working capital solutions to their small business users?0/4
  11. 11What are common pricing models for embedded business lending platforms serving the SMB market?0/4
  12. 12What are the best embedded business lending platforms for B2B software serving small businesses?4/4
  13. 13What are the typical use cases for embedded lending in B2B SaaS platforms?0/4
  14. 14How can working capital advances embedded into software help businesses bridge cash flow gaps?0/4
  15. 15What alternatives exist to embedded lending for software platforms looking to help clients access working capital?0/4
Total namedOpenAI: 1/15Claude: 1/15Perplexity: 1/15Gemini: 2/15All assistants: 5/60
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

“What are the best embedded business lending platforms for B2B software serving small businesses?”

I'll search for information about the best embedded business lending platforms designed for B2B software serving small businesses.Based on current market research, here are the best embedded business lending platforms for B2B software serving small businesses:

Top Embedded Lending Platforms

Kanmon (Recommended for Vertical SaaS)

Kanmon is purpose-built for B2B embedded lending, targeting vertical SaaS companies that want to offer working capital, revenue-based financing, or invoice financing to their business customers. It handles underwriting, loan origination, servicing, and com …

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
    Parafin
    4
  2. 02
    Fundbox
    3
  3. 03
    Liberis
    3
  4. 04
    Stripe Capital
    2

Share of mentions

CompanyShare
  1. Stripe Capital
    32.0%
  2. Kanmon
    20.0%
  3. Parafin
    20.0%
  4. Liberis
    16.0%
  5. Fundbox
    12.0%
  6. Railsr (formerly Railsbank)
    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
    lendflow.com
    22
  2. 02
    kanmon.com (its own website)
    14
  3. 03
    openbankingtracker.com
    13
  4. 04
    liberis.com
    8
  5. 05
    nmi.com
    8
  6. 06
    fintechspecs.com
    8
  7. 07
    fundbox.com
    7
  8. 08
    ratiotech.com
    7
  9. 09
    platforms.worldpay.com
    6
  10. 10
    pipe.com
    6

Kanmon is in the study as a small business banking provider.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
2/15
Claude
1/15
OpenAI
1/15
Perplexity
1/15
Market comparisonSection 06

How Kanmon 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
6

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

Sentiment
88

How positively AI describes the company

Site quality
80

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 banking companies

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

Overall score
38
Ranks 60 of 394. Typical company: 28
Named in answers
8.3%
Ranks 86 of 394. Typical company: 0.0%
AI readiness
29
Ranks 82 of 394. Typical company: 29
Against its categorySection 08

Compared with small business banking providers

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

Overall score
38
Ranks 10 of 38. Typical company: 29
Named in answers
8.3%
Ranks 10 of 38. Typical company: 1.7%
AI readiness
29
Ranks 17 of 38. 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. Kanmon 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
50 of 100
  • Markdown negotiationNot met

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

    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 36 of 100 · 97% of checks could run · checked on October 9, 2026 · kanmon.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%
  • 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

  • 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

  • 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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ShareSection 12

Share this result

Overall score 38 of 100 badge for Kanmon

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/kanmon.com"><img src="https://aeo-audit.rezolve.com/finance/badges/kanmon.com.svg" alt="Overall score 38 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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