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.

Back to the study
AI visibility statementFinance AI Visibility Study 2026Issued October 14, 2026
Account holder
Statement period
September 23 to 25, 2026
when the AI assistants were asked
Account no.
125 of 2,219
its rank by overall score
Place in its category
5th of 37 market data companies
Closing balance

Named in

19of 60 answers

by 4 of 4 assistants

Statement note

What this means for CME Group

AI assistants name CME Group in 31.7% of answers, much more often than the typical company in its sector at 1.7%. Its overall score is 42 out of 100, ranking 125th of 2,219 companies and 46th of 574 companies in its sector. Its website passes 1 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned CME Group by name. AI assistants named it in 19 of the 60 answers. Counting only how often it is named, it ranks 20th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
42Overall score
  • Visibility44
  • Citations0
  • Sentiment50
  • Site quality93
  • AI readiness21
Summary of account
Named by AI in
31.7%
19 of 60 answers
Share of mentions
73.1%
of the mentions of it and its 5 peers
AI readiness
1/14
technical checks passed. Typical for its sector: 4
Rank in its sector
46 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

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

  1. 01How can I resolve slow trade execution times on a futures trading exchange?1/4
  2. 02How do institutional investors use interest rate futures to hedge against rate volatility?0/4
  3. 03What should I do if my margin requirements change unexpectedly on a derivatives platform?0/4
  4. 04What are the best futures exchanges for managing commodity price risk in the US?4/4
  5. 05What are common strategies for corporations to manage currency risk with options contracts?0/4
  6. 06What types of energy derivatives can be traded on US financial exchanges?3/4
  7. 07How are transaction fees structured on US-based derivatives trading exchanges?4/4
  8. 08What alternatives exist to central clearinghouse platforms for risk management in futures trading?0/4
  9. 09How do electronic derivatives exchanges compare to traditional open outcry markets?1/4
  10. 10What are typical costs involved in using an electronic futures market for large institutional trades?2/4
  11. 11Futures trading platform vs options trading platform—what’s the difference for risk management?0/4
  12. 12Is it better to use a specialized risk management exchange or a general purpose trading platform for hedging?0/4
  13. 13Which platforms offer a wide range of interest rate derivatives for institutional traders?4/4
  14. 14Are there non-exchange methods for managing exposure to commodity price swings?0/4
  15. 15Are integrated clearing and settlement solutions for derivatives trading worth the extra cost?0/4
Total namedOpenAI: 4/15Claude: 5/15Perplexity: 4/15Gemini: 6/15All assistants: 19/60
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 futures exchanges for managing commodity price risk in the US?”

Short answer

For broad, highly liquid commodity futures in the U.S.: CME Group (CME/CBOT/NYMEX/COMEX) and ICE Futures U.S. are the primary exchanges. They cover most energy, agricultural, and metals needs and offer deep liquidity and established clearing. (cmegroup.com)

For some specialist or regional products: Cboe’s futures exchange (CFE) offers volatility and niche derivatives; the Minneapolis Grain Exchange (MGEX) offers certain grain/soft-wheat contracts; Nodal Exchange is widely used for U.S. power/energy basis / locational products. …

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
    Eurex
    1
  2. 02
    Intercontinental Exchange (ICE)
    1
  3. 03
    Minneapolis Grain Exchange (MGEX)
    1

Share of mentions

CompanyShare
  1. CME Group
    73.1%
  2. Intercontinental Exchange (ICE)
    15.4%
  3. Nasdaq Derivatives Markets
    3.8%
  4. Eurex
    3.8%
  5. Minneapolis Grain Exchange (MGEX)
    3.8%
  6. Cboe Global Markets
    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
    cmegroup.com (its own website)
    23
  2. 02
    stonex.com
    16
  3. 03
    tradersmagazine.com
    9
  4. 04
    investopedia.com
    9
  5. 05
    cftc.gov
    8
  6. 06
    iongroup.com
    7
  7. 07
    interactivebrokers.com
    7
  8. 08
    ice.com
    7
  9. 09
    bauer.uh.edu
    6
  10. 10
    mexc.com
    6

CME Group 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

Gemini
6/15
Claude
5/15
OpenAI
4/15
Perplexity
4/15
Market comparisonSection 06

How CME Group 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
44

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
50

How positively AI describes the company

Site quality
93

How well built the website's own pages are

AI readiness
21

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
42
Ranks 46 of 574. Typical company: 29
Named in answers
31.7%
Ranks 20 of 574. Typical company: 1.7%
AI readiness
21
Ranks 401 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
42
Ranks 4 of 37. Typical company: 36
Named in answers
31.7%
Ranks 10 of 37. Typical company: 15.0%
AI readiness
21
Ranks 20 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 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. CME Group 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
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 32 of 100 · 97% of checks could run · checked on October 3, 2026 · www.cmegroup.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

1 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

  • Not metrobots.txt publishedstudy: 85.1%
  • Not metXML sitemapstudy: 79.4%
  • PassedHTTP Link headers (RFC 8288)study: 42.5%

Content Accessibility

  • Not metMarkdown content negotiationstudy: 7.4%
  • Not metllms.txt publishedstudy: 28.1%
  • Not metToken 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%
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ShareSection 11

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Overall score 42 of 100 badge for CME Group

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<a href="https://aeo-audit.rezolve.com/us/finance/cmegroup.com"><img src="https://aeo-audit.rezolve.com/finance/badges/cmegroup.com.svg" alt="Overall score 42 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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