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

Ledger

ledger.com

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.
384 of 2,219
its rank by overall score
Place in its category
15th of 80 digital asset infrastructure companies
Closing balance

Named in

11of 60 answers

by 4 of 4 assistants

Statement note

What this means for Ledger

AI assistants name Ledger in 18.3% of answers, much more often than the typical company in its sector at 1.7%. Ledger has an overall score of 38 out of 100, ranking 384th of 2,219 companies. Its website passes 4 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Ledger by name. AI assistants named it in 11 of the 60 answers. Counting only how often it is named, it ranks 12th of 102 in its sector. The typical crypto and digital asset company is named in 1.7% of answers.

Overall score
38Overall score
  • Visibility18
  • Citations4
  • Sentiment73
  • Site quality87
  • AI readiness29
Summary of account
Named by AI in
18.3%
11 of 60 answers
Share of mentions
20.4%
of the mentions of it and its 5 peers
AI readiness
4/14
technical checks passed. Typical for its sector: 4
Rank in its sector
21 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

Ledger came up on 8 of 15 questions. Open any window to read that answer.

  1. 01Hardware wallet vs. software wallet: which is better for protecting crypto from hacks?0/4
  2. 02What are the average prices for trusted hardware wallets in the US?2/4
  3. 03How do hardware wallets work with staking and yield farming in the US?1/4
  4. 04Cold storage vs. hot wallet: how do they compare for securing digital assets?0/4
  5. 05How do you recover access if you lose your hardware wallet device?1/4
  6. 06Are there extra fees for sending crypto from a hardware wallet?0/4
  7. 07What should I do if I think my seed phrase has been exposed?1/4
  8. 08What are the main alternatives to using a dedicated hardware wallet for securing crypto?0/4
  9. 09Is investing in a hardware wallet worth it for small crypto portfolios?0/4
  10. 10Best hardware wallet options for managing multiple digital assets safely3/4
  11. 11What are the most secure types of crypto wallets for holding Bitcoin and Ethereum long-term?1/4
  12. 12Do hardware crypto wallets provide better peace of mind than keeping assets on exchanges?0/4
  13. 13Which types of wallets offer protection against identity theft and wallet drain scams?1/4
  14. 14Non-hardware wallet options for keeping your digital assets safe0/4
  15. 15Can you use a hardware wallet for regular DeFi transactions and NFT management?1/4
Total namedOpenAI: 4/15Claude: 2/15Perplexity: 1/15Gemini: 4/15All assistants: 11/60
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 types of wallets offer protection against identity theft and wallet drain scams?”

Short answer: wallets that reduce risk of identity theft and “wallet drain” attacks are hardware (cold) wallets, multisignature (multisig) wallets, and modern smart‑contract wallets that support transaction limits/whitelists and social recovery. Custodial services can reduce some risk but introduce counterparty risk.

What each type protects against and why

Hardware (cold) wallets (e.g., Ledger, Trezor): private keys never leave the device and every transaction must be physically approved on the device. This blocks remote attackers and browser/phishing sites from signing transactions or stea …

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
    Trezor
    21
  2. 02
    SafePal
    6
  3. 03
    ELLIPAL
    2
  4. 04
    BitBox
    1

Share of mentions

CompanyShare
  1. Trezor
    50.0%
  2. Ledger
    20.4%
  3. SafePal
    13.0%
  4. ELLIPAL
    7.4%
  5. BitBox
    5.6%
  6. SecuX
    3.7%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    cryptoslate.com
    13
  2. 02
    coinbureau.com
    12
  3. 03
    ledger.com (its own website)
    9
  4. 04
    finance.yahoo.com
    7
  5. 05
    walletinsights.io
    5
  6. 06
    trezor.io
    5
  7. 07
    binance.com
    4
  8. 08
    bitdegree.org
    4
  9. 09
    coincodex.com
    4
  10. 10
    coincub.com
    4

Ledger 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
4/15
OpenAI
4/15
Claude
2/15
Perplexity
1/15
Market comparisonSection 06

How Ledger 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
18

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
73

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
29

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
38
Ranks 21 of 102. Typical company: 30
Named in answers
18.3%
Ranks 12 of 102. Typical company: 1.7%
AI readiness
29
Ranks 52 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
38
Ranks 14 of 80. Typical company: 29
Named in answers
18.3%
Ranks 8 of 80. Typical company: 1.7%
AI readiness
29
Ranks 42 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

The website runs on Shopify.

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 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 46 of 100 · 65% of checks could run · checked on October 9, 2026 · www.ledger.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

4 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

  • 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 4 AI crawlers by name. All others follow its general rules.

Training AI

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

AI search

  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBot*allowed
  • 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 38 of 100 badge for Ledger

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/ledger.com"><img src="https://aeo-audit.rezolve.com/finance/badges/ledger.com.svg" alt="Overall score 38 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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