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 to 14, 2026
when the AI assistants were asked
Account no.
866 of 2,219
its rank by overall score
Closing balance

Named in

3of 60 answers

by 2 of 4 assistants

Statement note

What this means for Cosmos Labs

AI assistants name this digital asset infrastructure company in 5% of answers, more often than the typical company in its sector, which is named in 1.7% of answers. Its overall score is 30 out of 100, ranking 866th of 2,219 companies. The company's website passes 5 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Cosmos Labs by name. AI assistants named it in 3 of the 60 answers. Counting only how often it is named, it ranks 40th of 102 in its sector. The typical crypto and digital asset company is named in 1.7% of answers.

Overall score
30Overall score
  • Visibility5
  • Citations0
  • Sentiment50
  • Site quality80
  • AI readiness50
Summary of account
Named by AI in
5.0%
3 of 60 answers
Share of mentions
6.0%
of the mentions of it and its 5 peers
AI readiness
5/14
technical checks passed. Typical for its sector: 4
Rank in its sector
49 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

Cosmos Labs came up on 2 of 15 questions. Open any window to read that answer.

  1. 01Which blockchain infrastructure offers the best interoperability for cross-border payments in the financial sector?2/4
  2. 02What are common ways financial institutions use tokenization suites for asset settlement on secure blockchains?0/4
  3. 03What are the top enterprise blockchain infrastructure options for financial institutions?0/4
  4. 04What factors should financial institutions consider before adopting digital ledger infrastructure?0/4
  5. 05Why might a digital ledger technology deployment fail to meet compliance standards in government organizations?0/4
  6. 06How do costs scale when expanding a permissioned blockchain network for multiple government agencies?0/4
  7. 07What are alternatives to sovereign blockchain infrastructure for financial or governmental transaction management?0/4
  8. 08Private blockchain vs consortium blockchain: which is more suitable for large-scale enterprise deployments?0/4
  9. 09Which non-blockchain digital ledger solutions are viable for regulated industries?0/4
  10. 10Which digital ledger technologies are best for government organizations seeking secure transaction records?0/4
  11. 11How does permissioned blockchain infrastructure compare to public digital ledger systems for institutional use?0/4
  12. 12How are digital currency solutions implemented in large-scale government payment systems using blockchain infrastructure?0/4
  13. 13Are enterprise-grade blockchain platforms worth the investment for regulated financial markets?0/4
  14. 14What is the typical pricing model for enterprise blockchain infrastructure in the United States?0/4
  15. 15How can latency issues be resolved in high-throughput blockchain systems for financial services?1/4
Total namedOpenAI: 2/15Claude: 1/15Perplexity: 0/15Gemini: 0/15All assistants: 3/60
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

“Which blockchain infrastructure offers the best interoperability for cross-border payments in the financial sector?”

… For bank/enterprise projects wanting flexible cross‑chain programmability and trust‑minimized messaging between sovereign chains: Cosmos (IBC) (and ecosystems built on it) offers a mature interoperability protocol (IBC) that supports token and message passing across many chains. It’s attractive where multi‑chain liquidity and chain sovereignty matter. (legacy.cosmos.network)

For firms that need high liquidity, broad market connectivity and payments tooling: Ripple (XRPL / RippleNet / enterprise offerings) remains oriented to cross‑border payments a …

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
    R3 Corda
    10
  2. 02
    ConsenSys Quorum
    1

Share of mentions

CompanyShare
  1. Hyperledger (Linux Foundation)
    44.0%
  2. R3 Corda
    32.0%
  3. Ripple (RippleNet)
    10.0%
  4. Cosmos Labs
    6.0%
  5. ConsenSys Quorum
    4.0%
  6. Digital Asset (Daml)
    4.0%
ReferrersSection 04

Websites the AI used as sources

How many times each website was listed as a source in these answers

  1. 01
    arxiv.org
    18
  2. 02
    imf.org
    9
  3. 03
    blockchain-council.org
    8
  4. 04
    bis.org
    8
  5. 05
    r3.com
    5
  6. 06
    nadcab.com
    4
  7. 07
    chain.link
    4
  8. 08
    image-ppubs.uspto.gov
    4
  9. 09
    medium.com
    4
  10. 10
    documents1.worldbank.org
    4

Cosmos Labs is in the study as a digital asset infrastructure company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

OpenAI
2/15
Claude
1/15
Gemini
0/15
Perplexity
0/15
Market comparisonSection 06

How Cosmos Labs 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
5

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
80

How well built the website's own pages are

AI readiness
50

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
30
Ranks 49 of 102. Typical company: 30
Named in answers
5.0%
Ranks 40 of 102. Typical company: 1.7%
AI readiness
50
Ranks 2 of 102. Typical company: 33
Against its categorySection 08

Compared with digital asset infrastructure companies

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

Overall score
30
Ranks 36 of 80. Typical company: 29
Named in answers
5.0%
Ranks 30 of 80. Typical company: 1.7%
AI readiness
50
Ranks 2 of 80. Typical company: 36
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. Cosmos Labs 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
80 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 DiscoveryPassed

    SVCB or HTTPS records under _agents that advertise agent endpoints.

    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 38 of 100 · 97% of checks could run · checked on October 9, 2026 · cosmos.network · 2,200 companies scanned

See how every company did, and how this was measured.

AI readinessSection 10

The checks behind the AI readiness score

5 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%
  • PassedHTTP 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

  • 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 30 of 100 badge for Cosmos Labs

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/cosmos.network"><img src="https://aeo-audit.rezolve.com/finance/badges/cosmos.network.svg" alt="Overall score 30 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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