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

Marex Financial

marex.com

Investment banks and capital marketsInvesting and wealth

Money20/20 attendee

Statement period
October 9 and 10, 2026
when the AI assistants were asked
Account no.
805 of 2,219
its rank by overall score
Place in its category
11th of 27 investment banks
Closing balance

Named in

8of 60 answers

by 4 of 4 assistants

Statement note

What this means for Marex Financial

AI assistants name Marex Financial in 13.3% of answers, which is much more often than the typical company in its sector at 0.8%. Its overall score is 31 out of 100, ranking 805th of 2,219 companies. The website passes 3 of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Marex Financial by name. AI assistants named it in 8 of the 60 answers. Counting only how often it is named, it ranks 24th of 238 in its sector. The typical investing and wealth company is named in 0.8% of answers.

Overall score
31Overall score
  • Visibility18
  • Citations1
  • Sentiment50
  • Site quality73
  • AI readiness29
Summary of account
Named by AI in
13.3%
8 of 60 answers
Share of mentions
30.8%
of the mentions of it and its 5 peers
AI readiness
3/14
technical checks passed. Typical for its sector: 4
Rank in its sector
88 of 238
by overall score, where the typical investing and wealth company scores 28

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Line itemsSection 01

Every question, and where the company came up

Marex Financial came up on 4 of 15 questions. Open any window to read that answer.

  1. 01What are the typical costs associated with global financial clearing services?0/4
  2. 02How does using a full-service market access platform compare to working with multiple specialized brokers?0/4
  3. 03What types of clients benefit most from an integrated clearing and market access platform?0/4
  4. 04Why might a global financial services platform block access to certain markets or instruments?0/4
  5. 05Which US market access solutions offer both environmental products and traditional commodities?1/4
  6. 06What can cause execution delays or failures on institutional trading platforms?0/4
  7. 07Market making vs. agency and execution services—what are the key differences for corporate clients?0/4
  8. 08Is it worth paying a premium for a financial services platform with integrated liquidity and risk management tools?0/4
  9. 09How are fees typically structured for institutional access to commodities markets in the US?0/4
  10. 10How do corporate hedging solutions help US firms manage energy price volatility?0/4
  11. 11Alternatives to technology-led market access platforms for commodity investors?1/4
  12. 12Do technology-driven investment solutions justify higher service fees for market participants?0/4
  13. 13What are the best global financial services platforms for institutional investors seeking market access in commodities and energy?3/4
  14. 14What are the main options besides full-service financial platforms for liquidity provision in energy markets?0/4
  15. 15Best platforms for bespoke hedging solutions in US commodity markets?3/4
Total namedOpenAI: 2/15Claude: 2/15Perplexity: 3/15Gemini: 1/15All 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 Perplexity actually said

An answer that names the company

Perplexitynamed the company

“What are the best global financial services platforms for institutional investors seeking market access in commodities and energy?”

The strongest global platforms for institutional commodity and energy access are J.P. Morgan Execute, StoneX, Marex, Société Générale Global Markets, and Straits Financial. The best choice depends on whether the priority is OTC structuring, exchange execution and clearing, physical-market expertise, financing, or data and price-risk analytics.

Leading platforms

Platform · Best suited for · Relevant strengths

J.P. Morgan Execute · Institutions seeking integrated electronic execution and bank-grade market access · Offers pricing and execution across energy, metal …

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
    StoneX
    9

Share of mentions

CompanyShare
  1. StoneX
    34.6%
  2. INTL FCStone (now part of StoneX)
    34.6%
  3. Marex Financial
    30.8%
  4. Sucden Financial
    0.0%
  5. ADM Investor Services
    0.0%
  6. R.J. O’Brien & Associates
    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
    stonex.com
    17
  2. 02
    cmegroup.com
    9
  3. 03
    b2broker.com
    9
  4. 04
    ice.com
    7
  5. 05
    nasdaq.com
    7
  6. 06
    invezz.com
    6
  7. 07
    xpansiv.com
    6
  8. 08
    marex.com (its own website)
    6
  9. 09
    bny.com
    5
  10. 10
    en.wikipedia.org
    5

Marex Financial is in the study as an investment bank.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Perplexity
3/15
Claude
2/15
OpenAI
2/15
Gemini
1/15
Market comparisonSection 06

How Marex Financial 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
18

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
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 investing and wealth companies

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

Overall score
31
Ranks 88 of 238. Typical company: 28
Named in answers
13.3%
Ranks 24 of 238. Typical company: 0.8%
AI readiness
29
Ranks 51 of 238. Typical company: 29
Against its categorySection 08

Compared with investment banks

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

Overall score
31
Ranks 11 of 27. Typical company: 29
Named in answers
13.3%
Ranks 4 of 27. Typical company: 5.0%
AI readiness
29
Ranks 8 of 27. 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. Marex Financial 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 · www.marex.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

3 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%
  • 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

  • GPTBotallowed
  • ClaudeBotallowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed

AI search

  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBotallowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed

Answering questions

  • ChatGPT-Userallowed
  • Claude-Userallowed
  • Perplexity-Userallowed
  • DuckAssistBotallowed
  • MistralAI-Userallowed

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 31 of 100 badge for Marex Financial

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/marex.com"><img src="https://aeo-audit.rezolve.com/finance/badges/marex.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
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