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
October 9, 2026
when the AI assistants were asked
Account no.
611 of 2,219
its rank by overall score
Place in its category
11th of 22 crypto exchanges
Closing balance

Named in

10of 60 answers

by 4 of 4 assistants

Statement note

What this means for B2C2

AI assistants name this crypto exchange in 16.7% of their answers, much more often than the typical company in its sector at 1.7%. Its overall score is 35 out of 100, ranking 611th of 2,219 companies. The website passes 2 out of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned B2C2 by name. AI assistants named it in 10 of the 60 answers. Counting only how often it is named, it ranks 13th of 102 in its sector. The typical crypto and digital asset company is named in 1.7% of answers.

Overall score
35Overall score
  • Visibility17
  • Citations0
  • Sentiment90
  • Site quality67
  • AI readiness14
Summary of account
Named by AI in
16.7%
10 of 60 answers
Share of mentions
20.0%
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
35 of 102
by overall score, where the typical crypto and digital asset company scores 30

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Line itemsSection 01

Every question, and where the company came up

B2C2 came up on 5 of 15 questions. Open any window to read that answer.

  1. 01What options exist for financial institutions seeking decentralized alternatives to centralized crypto liquidity partners?0/4
  2. 02What are alternatives to using a third-party digital asset liquidity provider for institutions?1/4
  3. 03How do over-the-counter crypto trading desks compare to electronic trading platforms for institutional clients?0/4
  4. 04How can financial institutions resolve slow trade settlement with crypto OTC providers?0/4
  5. 05What should financial institutions look for when choosing a digital asset liquidity partner?0/4
  6. 06What fees should financial institutions expect when using an OTC crypto trading solution?0/4
  7. 07What are common issues when accessing liquidity in institutional crypto markets?0/4
  8. 08How can stablecoin swaps benefit treasury operations for institutional crypto investors?0/4
  9. 09Which crypto liquidity solutions are most trusted by financial institutions?4/4
  10. 10Can proprietary trading desks effectively replace external crypto liquidity solutions for financial firms?0/4
  11. 11What are the best digital asset liquidity providers for institutional crypto trading in the US?3/4
  12. 12Are institutional crypto liquidity providers worth it for high-volume trading firms?1/4
  13. 13How do pricing models for institutional crypto liquidity providers typically work?0/4
  14. 14What role do institutional liquidity providers play in supporting large-scale crypto trading strategies?1/4
  15. 15Institutional crypto market makers vs order book exchanges—what are the key differences for liquidity provision?0/4
Total namedOpenAI: 1/15Claude: 2/15Perplexity: 2/15Gemini: 5/15All 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 Perplexity actually said

An answer that names the company

Perplexitynamed the company

“Which crypto liquidity solutions are most trusted by financial institutions?”

The most widely recognized institutional crypto liquidity providers are Cumberland, B2C2, Coinbase Prime, FalconX, Galaxy Digital, and Wintermute OTC. Independent 2026 industry lists consistently place these firms among the leading providers for large-block trading and institutional execution.

Provider · Best known for · Institutional considerations

Cumberland · Large OTC trades and market making · Backed by DRW and frequently cited as a leading institutional OTC desk.

B2C2 · 24/7 OTC liquidity and electronic execution · Strong fit for banks, …

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
    Cumberland DRW
    21
  2. 02
    FalconX
    8
  3. 03
    GSR
    5

Share of mentions

CompanyShare
  1. Cumberland DRW
    32.0%
  2. Galaxy Digital Trading
    22.0%
  3. B2C2
    20.0%
  4. FalconX
    16.0%
  5. GSR
    10.0%
  6. Genesis Trading
    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
    liquidmercury.com
    13
  2. 02
    chainstack.com
    11
  3. 03
    altfins.com
    10
  4. 04
    mhcdigitalgroup.com
    8
  5. 05
    b2broker.com
    8
  6. 06
    finchtrade.com
    7
  7. 07
    finerymarkets.com
    7
  8. 08
    walletinvestor.com
    7
  9. 09
    dwf-labs.com
    6
  10. 10
    alphapoint.com
    6

B2C2 is in the study as a crypto exchange.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
5/15
Perplexity
2/15
Claude
2/15
OpenAI
1/15
Market comparisonSection 06

How B2C2 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
17

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
90

How positively AI describes the company

Site quality
67

How well built the website's own pages are

AI readiness
14

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 crypto and digital asset companies

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

Overall score
35
Ranks 35 of 102. Typical company: 30
Named in answers
16.7%
Ranks 13 of 102. Typical company: 1.7%
AI readiness
14
Ranks 95 of 102. Typical company: 33
Against its categorySection 08

Compared with crypto exchanges

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

Overall score
35
Ranks 11 of 22. Typical company: 35
Named in answers
16.7%
Ranks 5 of 22. Typical company: 5.0%
AI readiness
14
Ranks 22 of 22. 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. B2C2 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
0 of 100
  • robots.txtNot met

    Publish a valid robots.txt with crawl rules and a Sitemap line.

    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 7 of 100 · 97% of checks could run · checked on October 9, 2026 · www.b2c2.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

  • 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%
  • 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%
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Overall score 35 of 100 badge for B2C2

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