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

MarketAxess

marketaxess.comMKTX

Market data, ratings and exchangesFinancial technology and data

Also in the US AI Visibility Study

Statement period
September 23, 2026
when the AI assistants were asked
Account no.
547 of 2,219
its rank by overall score
Place in its category
18th of 37 market data companies
Closing balance

Named in

10of 60 answers

by 4 of 4 assistants

Statement note

What this means for MarketAxess

AI assistants name this market data company in 16.7% of answers, which is much more often than the typical company in its sector at 1.7%. MarketAxess has an overall score of 36 out of 100, ranking 547th of 2,219 companies. Its website passes 2 out of 14 technical checks for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned MarketAxess by name. AI assistants named it in 10 of the 60 answers. Counting only how often it is named, it ranks 63rd of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
36Overall score
  • Visibility18
  • Citations1
  • Sentiment82
  • Site quality67
  • AI readiness29
Summary of account
Named by AI in
16.7%
10 of 60 answers
Share of mentions
22.2%
of the mentions of it and its 5 peers
AI readiness
2/14
technical checks passed. Typical for its sector: 4
Rank in its sector
181 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

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

  1. 01What are the differences between RFQ-based and order book trading platforms for bonds?0/4
  2. 02What are some alternative workflow tools for fixed income traders besides electronic platforms?0/4
  3. 03Are there non-electronic options for large institutional bond trades in the United States?0/4
  4. 04What are effective ways to use real-time market depth analysis in credit trading?0/4
  5. 05What are the best electronic trading platforms for U.S. fixed income securities?3/4
  6. 06What are the typical pricing models for electronic fixed income trading platforms?1/4
  7. 07Are electronic bond trading platforms worth it for improving workflow efficiency?0/4
  8. 08How do all-to-all electronic fixed income platforms compare to single-dealer systems for large trades?0/4
  9. 09How much does it cost for institutional investors to access advanced fixed income trading interfaces?3/4
  10. 10What alternatives exist to all-to-all electronic platforms for trading U.S. bonds?0/4
  11. 11How do you resolve connectivity issues with electronic fixed income trading platforms?0/4
  12. 12Do real-time pricing tools in electronic trading platforms justify their subscription costs?0/4
  13. 13Which digital solutions are popular for institutional credit trading in the United States?3/4
  14. 14How can AI-powered insights enhance portfolio management for fixed income traders?0/4
  15. 15What steps should you take if a bond order fails to execute on an electronic trading system?0/4
Total namedOpenAI: 3/15Claude: 2/15Perplexity: 3/15Gemini: 2/15All assistants: 10/60
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 OpenAI actually said

An answer that names the company

OpenAInamed the company

“What are the best electronic trading platforms for U.S. fixed income securities?”

Short answer

For institutional electronic trading in U.S. fixed‑income: Tradeweb, MarketAxess, Bloomberg (Fixed Income Trading/EMSX) and ICE Bonds / ICE’s fixed‑income venues are the market leaders. (tradeweb.com)

For wealth managers / advisors / retail investors: Fidelity, Charles Schwab, Vanguard, and Interactive Brokers are the most capable for secondary‑market corporate, municipal and Treasury trading; TreasuryDirect is the primary place to buy new‑issue U.S. Treasuries directly from the government. ([stockb …

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
    Tradeweb
    27
  2. 02
    ICE Bonds
    3

Share of mentions

CompanyShare
  1. Tradeweb
    40.0%
  2. Bloomberg Trade Order Management Solutions (TOMS)
    31.1%
  3. MarketAxess
    22.2%
  4. ICE Bonds
    6.7%
  5. MTS BondsPro (by EuroMTS Limited)
    0.0%
  6. Liquidnet Fixed Income
    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
    tradeweb.com
    36
  2. 02
    sec.gov
    24
  3. 03
    tradersmagazine.com
    23
  4. 04
    bis.org
    19
  5. 05
    sifma.org
    13
  6. 06
    professional.bloomberg.com
    11
  7. 07
    bloomberg.com
    10
  8. 08
    lseg.com
    9
  9. 09
    fi-desk.com
    9
  10. 10
    marketsmedia.com
    8

MarketAxess is in the study as a market data company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How MarketAxess 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
82

How positively AI describes the company

Site quality
67

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
36
Ranks 181 of 574. Typical company: 29
Named in answers
16.7%
Ranks 63 of 574. Typical company: 1.7%
AI readiness
29
Ranks 224 of 574. Typical company: 29
Against its categorySection 08

Compared with market data companies

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

Overall score
36
Ranks 18 of 37. Typical company: 36
Named in answers
16.7%
Ranks 16 of 37. Typical company: 15.0%
AI readiness
29
Ranks 8 of 37. 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 0: Not yet agent-ready. Agents struggle to find basic information about the site.

To reach level 1:
  • 2 of robots.txt, Sitemap, Link headers
Can an AI agent check out here?

Not by itself. MarketAxess 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
41 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 86.1%
  • SitemapNot met

    Serve an XML sitemap and reference it 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 16 of 100 · 97% of checks could run · checked on October 5, 2026 · www.marketaxess.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

2 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%
  • Not metXML 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

  • 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 36 of 100 badge for MarketAxess

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/marketaxess.com"><img src="https://aeo-audit.rezolve.com/finance/badges/marketaxess.com.svg" alt="Overall score 36 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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