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

Zeeve

zeeve.io

Stablecoins and digital asset infrastructureCrypto and digital assets

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
732 of 2,219
its rank by overall score
Place in its category
30th of 80 digital asset infrastructure companies
Closing balance

Named in

5of 60 answers

by 2 of 4 assistants

Statement note

What this means for Zeeve

AI assistants name Zeeve in 8.3% of answers, more often than the typical company in its sector, which is named in 1.7% of answers. Zeeve has an overall score of 33 out of 100, ranking 732nd of 2,219 companies. Its website passes 3 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Zeeve by name. AI assistants named it in 5 of the 60 answers. Counting only how often it is named, it ranks 31st of 102 in its sector. The typical crypto and digital asset company is named in 1.7% of answers.

Overall score
33Overall score
  • Visibility14
  • Citations0
  • Sentiment75
  • Site quality73
  • AI readiness21
Summary of account
Named by AI in
8.3%
5 of 60 answers
Share of mentions
29.4%
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
39 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

Zeeve came up on 3 of 15 questions. Open any window to read that answer.

  1. 01How does enterprise blockchain infrastructure differ from managed node services?0/4
  2. 02Should fintech companies choose a full-service blockchain deployment solution or build in-house?0/4
  3. 03Open-source vs. commercial blockchain deployment options for enterprises0/4
  4. 04Which solutions are recommended for deploying compliant blockchain systems in fintech companies?0/4
  5. 05Is investing in a dedicated blockchain infrastructure platform worth it for US banks?0/4
  6. 06How do organizations ensure uptime for production-grade blockchain systems?0/4
  7. 07What are alternatives to managed blockchain infrastructure platforms for institutions?2/4
  8. 08Private blockchain networks vs. permissioned blockchain platforms—what's better for financial institutions?0/4
  9. 09Top features to look for in digital asset network infrastructure for capital markets0/4
  10. 10What factors affect the cost of deploying compliant blockchain networks for financial services?0/4
  11. 11How are cross-border and settlement rails implemented with enterprise blockchain infrastructure?1/4
  12. 12Common issues when integrating digital asset networks with enterprise blockchain infrastructure0/4
  13. 13What are practical applications of blockchain for ESG and supply chain management?0/4
  14. 14How is enterprise blockchain infrastructure typically priced in the US?0/4
  15. 15What are the best enterprise blockchain infrastructure platforms for banks?2/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 2/15Gemini: 3/15All assistants: 5/60
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 Gemini actually said

An answer that names the company

Gemininamed the company

“What are alternatives to managed blockchain infrastructure platforms for institutions?”

… Maintain control: Run nodes within their existing AWS, Azure, GCP accounts, or on physical infrastructure, under their own governance and billing fluidrwa.com, zeeve.io.

Meet compliance: Satisfy data sovereignty rules by keeping every node in-country on controlled infrastructure kaleido.io.

Integrate deeply: Implement thei …

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
    Chainstack
    2
  2. 02
    Blockdaemon
    2
  3. 03
    Infura
    1
  4. 04
    Alchemy
    1

Share of mentions

CompanyShare
  1. Zeeve
    29.4%
  2. Blockdaemon
    17.6%
  3. Alchemy
    17.6%
  4. Chainstack
    17.6%
  5. QuickNode
    11.8%
  6. Infura
    5.9%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    blockchain-council.org
    16
  2. 02
    alchemy.com
    7
  3. 03
    optimism.io
    6
  4. 04
    arxiv.org
    6
  5. 05
    wildnetedge.com
    5
  6. 06
    bitgo.com
    5
  7. 07
    nownodes.io
    5
  8. 08
    sourceforge.net
    5
  9. 09
    linkedin.com
    5
  10. 10
    chain.link
    4

Zeeve 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

Gemini
3/15
Perplexity
2/15
Claude
0/15
OpenAI
0/15
Market comparisonSection 06

How Zeeve 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
14

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
75

How positively AI describes the company

Site quality
73

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 crypto and digital asset companies

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

Overall score
33
Ranks 39 of 102. Typical company: 30
Named in answers
8.3%
Ranks 31 of 102. Typical company: 1.7%
AI readiness
21
Ranks 76 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
33
Ranks 27 of 80. Typical company: 29
Named in answers
8.3%
Ranks 23 of 80. Typical company: 1.7%
AI readiness
21
Ranks 60 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?

We could not tell. The website turned away our requests for the files an agent would read. An agent arriving by itself is turned away the same way.

Agent payment protocols
  • x402Not present
  • MPPNot present
  • AP2Not present
  • ACPCould not check
  • UCPCould not check
Interfaces for AI agents
  • MCP Server CardCould not check
  • A2A Agent CardCould not check
  • Agent SkillsCould not check
  • API CatalogCould not check
  • llms.txtNot present
  • WebMCPCould not check
Show every check, for your technical team
Discoverability
72 of 100
  • robots.txtPassed

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

    study: 86.1%
  • SitemapPartly 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 AuthCould not check

    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 CatalogCould not check

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 1.3%
  • OAuth discoveryCould not check

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 6.3%
  • OAuth Protected ResourceCould not check

    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 CardCould not check

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.8%
  • A2A Agent CardCould not check

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.2%
  • Agent SkillsCould not check

    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 manifestCould not check

    Publish an ai-catalog.json listing every agent interface.

    study: 0.2%

Score 35 of 100 · 65% of checks could run · checked on October 9, 2026 · www.zeeve.io · 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

  • 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 33 of 100 badge for Zeeve

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/zeeve.io"><img src="https://aeo-audit.rezolve.com/finance/badges/zeeve.io.svg" alt="Overall score 33 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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