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

M0

m0.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.
804 of 2,219
its rank by overall score
Place in its category
105th of 315 fintech infrastructure companies
Closing balance

Named in

8of 60 answers

by 3 of 4 assistants

Statement note

What this means for M0

AI assistants name this fintech infrastructure company in 13.3% of answers, much more often than the typical company in its sector, which is named in 1.7% of answers. Its overall score is 31 out of 100, ranking 804th 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 M0 by name. AI assistants named it in 8 of the 60 answers. Counting only how often it is named, it ranks 89th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
31Overall score
  • Visibility11
  • Citations1
  • Sentiment50
  • Site quality87
  • AI readiness29
Summary of account
Named by AI in
13.3%
8 of 60 answers
Share of mentions
8.9%
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
237 of 574
by overall score, where the typical financial technology and data company scores 29

Get the full report on M0 as a PDF

Enter your work email to download it.

We’ll use your email to follow up about this report. Privacy policy

Line itemsSection 01

Every question, and where the company came up

M0 came up on 6 of 15 questions. Open any window to read that answer.

  1. 01Do US monetary base analysis tools usually offer free trials or student discounts?0/4
  2. 02What is the best resource for real-time US monetary base data and charts?1/4
  3. 03Where can I find plain-language explanations of US central bank money supply numbers?1/4
  4. 04How does the monetary base differ from broader money supply measures like M1 and M2?2/4
  5. 05Why is there a sudden drop in reported US monetary base figures this month?1/4
  6. 06What are good alternatives to real-time US monetary base data platforms for historical research?1/4
  7. 07How can financial professionals use US monetary base data to inform investment decisions?2/4
  8. 08Most reliable sites for tracking trends in US currency in circulation and bank reserves?0/4
  9. 09Do paid monetary base data services offer significant advantages over free alternatives?0/4
  10. 10Charts vs. tabular reports: Which is better for understanding US central bank liquidity data?0/4
  11. 11Is it more effective to study monthly or weekly updates to track monetary base changes?0/4
  12. 12Typical costs for platforms providing up-to-date US monetary base charts and explanations?0/4
  13. 13What are common analytical methods for understanding changes in bank reserves?0/4
  14. 14Is a dedicated US monetary base tracking platform worth subscribing to for economic research?0/4
  15. 15How to interpret large revisions or updates in US central bank liquidity datasets?0/4
Total namedOpenAI: 1/15Claude: 4/15Perplexity: 0/15Gemini: 3/15All assistants: 8/60
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

“How does the monetary base differ from broader money supply measures like M1 and M2?”

I can explain the key differences between the monetary base and broader money supply measures:

Monetary Base

The monetary base (also called M0) consists of the most liquid forms of money directly created and controlled by the central bank:

Physical currency in circulation (coins and banknotes)

Bank reserves held at the central bank (both required and excess reserves)

The monetary base is the foundation upon which the broader money supply is built through the banking system's lending activities.

M1 (Narrow Money)

M1 includes everything in the monetary base plus other …

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
    FRED (Federal Reserve Economic Data)
    2

Share of mentions

CompanyShare
  1. US Federal Reserve: Data Download Program
    50.0%
  2. FRED (Federal Reserve Economic Data)
    37.8%
  3. M0
    8.9%
  4. Trading Economics (United States Money Supply M0)
    3.3%
  5. Yardeni Research: Federal Reserve Data Watch
    0.0%
  6. Wikimedia Commons (Federal Reserve Charts and Data)
    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
    fred.stlouisfed.org
    26
  2. 02
    federalreserve.gov
    23
  3. 03
    findmymoat.com
    9
  4. 04
    en.wikipedia.org
    9
  5. 05
    ycharts.com
    7
  6. 06
    tradingview.com
    5
  7. 07
    fredaccount.stlouisfed.org
    5
  8. 08
    alfred.stlouisfed.org
    4
  9. 09
    investopedia.com
    4
  10. 10
    cmegroup.com
    4

M0 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

Claude
4/15
Gemini
3/15
OpenAI
1/15
Perplexity
0/15
Market comparisonSection 06

How M0 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
11

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
87

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 financial technology and data companies

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

Overall score
31
Ranks 237 of 574. Typical company: 29
Named in answers
13.3%
Ranks 89 of 574. Typical company: 1.7%
AI readiness
29
Ranks 224 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
31
Ranks 104 of 315. Typical company: 28
Named in answers
13.3%
Ranks 34 of 315. Typical company: 1.7%
AI readiness
29
Ranks 117 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. M0 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 · m0.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.

Take it with you

Get the full report on M0 as a PDF

Every number on this page in a PDF you can keep and share with your team. Enter your work email to download it.

We’ll use your email to follow up about this report. Privacy policy

ShareSection 12

Share this result

Overall score 31 of 100 badge for M0

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/m0.com"><img src="https://aeo-audit.rezolve.com/finance/badges/m0.com.svg" alt="Overall score 31 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
End of statement
All 2,219 companiesHow we measured this
Next step

Want AI assistants to name your company?

Book a 30-minute demo to see Rezolve Ai in action and what it can do for your business.

Request a demo