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

Fireblocks

fireblocks.com

Stablecoins and digital asset infrastructureCrypto and digital assets

Money20/20 attendee

Statement period
October 9, 2026
when the AI assistants were asked
Account no.
135 of 2,219
its rank by overall score
Place in its category
4th of 80 digital asset infrastructure companies
Closing balance

Named in

13of 60 answers

by 4 of 4 assistants

Statement note

What this means for Fireblocks

AI assistants name this digital asset infrastructure company in 21.7% of answers, far more often than the typical company in its sector, named in 1.7% of answers. Its overall score is 42 out of 100, which ranks 135th of 2,219 companies, and 4th out of 102 in its sector. Its website passes 6 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Fireblocks by name. AI assistants named it in 13 of the 60 answers. Counting only how often it is named, it ranks 8th of 102 in its sector. The typical crypto and digital asset company is named in 1.7% of answers.

Overall score
42Overall score
  • Visibility29
  • Citations4
  • Sentiment82
  • Site quality73
  • AI readiness43
Summary of account
Named by AI in
21.7%
13 of 60 answers
Share of mentions
48.1%
of the mentions of it and its 5 peers
AI readiness
6/14
technical checks passed. Typical for its sector: 4
Rank in its sector
4 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

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

  1. 01Is an enterprise-grade digital asset platform worth the investment for mid-sized financial institutions?0/4
  2. 02How do API-based digital asset infrastructure systems compare with integrated payment suites?0/4
  3. 03What factors affect the cost of digital asset and stablecoin infrastructure for enterprises?0/4
  4. 04Ways financial institutions can use digital asset platforms for secure lending operations?0/4
  5. 05Digital asset custody platforms vs stablecoin infrastructure: what's the difference?0/4
  6. 06Are there tiered pricing models for digital asset custody and payment suites in the US?3/4
  7. 07Most popular platforms for secure onchain lending in the digital assets space?0/4
  8. 08Best stablecoin management solutions for payment service providers?4/4
  9. 09Alternatives to centralized digital asset management solutions for large enterprises?0/4
  10. 10What are the top enterprise digital asset infrastructure platforms for banks?4/4
  11. 11What are non-custodial options for stablecoin infrastructure for US-based fintechs?2/4
  12. 12How can payment processors leverage stablecoin infrastructure for cross-border transactions?0/4
  13. 13What are common issues when integrating tokenized asset management into payment operations?0/4
  14. 14How to resolve reconciliation challenges in multi-asset infrastructure platforms?0/4
  15. 15Should fintech companies invest in dedicated stablecoin operations infrastructure?0/4
Total namedOpenAI: 3/15Claude: 3/15Perplexity: 4/15Gemini: 3/15All assistants: 13/60
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

“Best stablecoin management solutions for payment service providers?”

For a payment service provider, the strongest shortlist is Bridge, BVNK, Coinbase Payments, Circle, Stripe’s stablecoin tools, Cobo, and Fireblocks—but the best choice depends on whether the priority is payment orchestration, treasury, custody, or merchant acceptance.

Solution · Best for · Key strengths

Bridge · Embedded stablecoin payment infrastructure · Fiat–stablecoin conversion, cross-border transfers, multichain movement, compliance, and API-based orchestration.

BVNK · PSPs needing banking-like stablecoin rails · API-first infrastructure designe …

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
    BitGo
    9
  2. 02
    Anchorage Digital
    8

Share of mentions

CompanyShare
  1. Fireblocks
    48.1%
  2. BitGo
    25.9%
  3. Anchorage Digital
    22.2%
  4. Gemini BITRIA (Institutional offering)
    3.7%
  5. Copper.co
    0.0%
  6. Ledger Enterprise
    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
    fireblocks.com (its own website)
    15
  2. 02
    stripe.com
    12
  3. 03
    fuze.finance
    10
  4. 04
    eco.com
    8
  5. 05
    crossmint.com
    7
  6. 06
    stablecoininsider.org
    6
  7. 07
    cobo.com
    6
  8. 08
    fintechspecs.com
    5
  9. 09
    chain.link
    5
  10. 10
    aprimo.com
    4

Fireblocks 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

Perplexity
4/15
Gemini
3/15
Claude
3/15
OpenAI
3/15
Market comparisonSection 06

How Fireblocks 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
29

How often AI assistants name the company, and how that compares with its peers

Citations
4

How often AI uses the company's own website as a source

Sentiment
82

How positively AI describes the company

Site quality
73

How well built the website's own pages are

AI readiness
43

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
42
Ranks 4 of 102. Typical company: 30
Named in answers
21.7%
Ranks 8 of 102. Typical company: 1.7%
AI readiness
43
Ranks 8 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
42
Ranks 2 of 80. Typical company: 29
Named in answers
21.7%
Ranks 5 of 80. Typical company: 1.7%
AI readiness
43
Ranks 7 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. Fireblocks 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
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
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
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 43 of 100 · 97% of checks could run · checked on October 9, 2026 · www.fireblocks.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

6 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

  • PassedExplicit 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 rules for 6 AI crawlers by name. All others follow its general rules.

Training AI

  • GPTBot*allowed
  • ClaudeBot*allowed
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly

AI search

  • OAI-SearchBot*allowed
  • Claude-SearchBotpartly
  • PerplexityBot*allowed
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly

Answering questions

  • ChatGPT-User*allowed
  • Claude-Userpartly
  • Perplexity-User*allowed
  • 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 42 of 100 badge for Fireblocks

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/fireblocks.com"><img src="https://aeo-audit.rezolve.com/finance/badges/fireblocks.com.svg" alt="Overall score 42 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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