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

LUMX

lumx.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.
736 of 2,219
its rank by overall score
Place in its category
31st of 80 digital asset infrastructure companies
Closing balance

Named in

4of 60 answers

by 1 of 4 assistants

Statement note

What this means for LUMX

AI assistants name LUMX in 6.7% of answers, more often than the typical company in its sector, which is named in 1.7% of answers. Its overall score is 33 out of 100, ranking 736th of 2,219 companies. The website passes 7 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned LUMX by name. AI assistants named it in 4 of the 60 answers. Counting only how often it is named, it ranks 37th of 102 in its sector. The typical crypto and digital asset company is named in 1.7% of answers.

Overall score
33Overall score
  • Visibility13
  • Citations0
  • Sentiment50
  • Site quality80
  • AI readiness50
Summary of account
Named by AI in
6.7%
4 of 60 answers
Share of mentions
33.3%
of the mentions of it and its 5 peers
AI readiness
7/14
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

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

  1. 01What should I do if a stablecoin API integration fails during global payout processing?1/4
  2. 02How can importers and exporters benefit from using stablecoin-based payment orchestration APIs?0/4
  3. 03What typical fees and costs should neobanks expect when integrating a stablecoin payment API?1/4
  4. 04What are some non-stablecoin options for orchestrating global B2B payments programmatically?0/4
  5. 05Stablecoin custodial wallet APIs vs non-custodial solutions — what are the main differences?1/4
  6. 06Do stablecoin APIs provide a better value for payment providers expanding internationally?0/4
  7. 07How do stablecoin payment APIs compare to traditional cross-border payment platforms?0/4
  8. 08Alternatives to stablecoin APIs for multi-currency account management in fintech startups?0/4
  9. 09What options exist for secure custody of digital assets besides stablecoin custodial APIs?0/4
  10. 10What’s the process for managing global pay-ins via a multi-currency stablecoin API?0/4
  11. 11How do transaction charges for stablecoin APIs compare to wire transfers for international payments?0/4
  12. 12Which stablecoin API solutions support multi-currency accounts for neobanks?0/4
  13. 13How can I resolve KYC compliance errors when using a stablecoin payment API?1/4
  14. 14Is using a stablecoin payment infrastructure API worth it for cross-border B2B transactions?0/4
  15. 15What are the best stablecoin payment APIs for US-based fintech platforms handling global payouts?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 4/15All assistants: 4/60
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

“Stablecoin custodial wallet APIs vs non-custodial solutions — what are the main differences?”

The main difference between stablecoin custodial wallet APIs and non-custodial solutions lies in who holds control of the private keys and, consequently, who can move the funds plasma.org, lumx.io, bitnob.com.

Here's a breakdown of the key distinctions:

Custodial Wallet APIs:

Key Custody: The provider (e.g., a managed s …

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
    Circle
    7
  2. 02
    Anchorage Digital
    1

Share of mentions

CompanyShare
  1. Circle
    50.0%
  2. LUMX
    33.3%
  3. Anchorage Digital
    16.7%
  4. Stably
    0.0%
  5. Wyre
    0.0%
  6. Prime Trust
    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
    stripe.com
    28
  2. 02
    stablecoininsider.org
    15
  3. 03
    opendue.com
    10
  4. 04
    crossmint.com
    9
  5. 05
    eco.com
    9
  6. 06
    lightspark.com
    7
  7. 07
    merge.money
    6
  8. 08
    intellivon.com
    6
  9. 09
    tryspeed.com
    5
  10. 10
    cobo.com
    5

LUMX 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
Perplexity
0/15
Claude
0/15
OpenAI
0/15
Market comparisonSection 06

How LUMX 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
13

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
33
Ranks 39 of 102. Typical company: 30
Named in answers
6.7%
Ranks 37 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
33
Ranks 27 of 80. Typical company: 29
Named in answers
6.7%
Ranks 28 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 4: Agent-integrated. At least one of an MCP card, A2A card, skills index or API catalog is published.

To reach level 5:
  • Web Bot Auth
  • 4 of MCP Server Card, A2A Agent Card, Agent Skills, API Catalog
  • 1 of OAuth discovery, OAuth Protected Resource, auth.md
Can an AI agent check out here?

Not by itself. LUMX 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 CardPublished
  • A2A Agent CardPublished
  • Agent SkillsPublished
  • 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
100 of 100
  • Markdown negotiationPassed

    Requests sent with Accept: text/markdown receive a markdown version of the page.

    study: 6.2%
  • llms.txtPassed

    An llms.txt that tells language models what the site offers.

    study: 31.0%
Bot access control
100 of 100
  • AI bot rulesPassed

    Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.

    study: 92.7%
  • Content SignalsPassed

    Content-Signal lines in robots.txt declaring search, AI input and AI training preferences.

    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
47 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 CardPassed

    A server card describing the MCP server, its transport and capabilities.

    study: 0.8%
  • A2A Agent CardPartly met

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

    study: 0.2%
  • Agent SkillsPassed

    A skills index at /.well-known/agent-skills/index.json that agents can load.

    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 77 of 100 · 97% of checks could run · checked on October 9, 2026 · lumx.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

7 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

  • PassedMarkdown 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 21 AI crawlers by name. All others follow its general rules.

Training AI

  • GPTBot*allowed
  • ClaudeBot*allowed
  • Anthropic-AI*allowed
  • Google-Extended*allowed
  • Applebot-Extended*allowed
  • Meta-ExternalAgent*allowed
  • FacebookBot*allowed
  • Bytespider*allowed
  • CCBot*allowed
  • Diffbot*allowed
  • Omgilibotpartly

AI search

  • OAI-SearchBot*allowed
  • Claude-SearchBot*allowed
  • PerplexityBot*allowed
  • Applebot*allowed
  • Amazonbot*allowed
  • YouBot*allowed

Answering questions

  • ChatGPT-User*allowed
  • Claude-User*allowed
  • Perplexity-User*allowed
  • DuckAssistBot*allowed
  • MistralAI-User*allowed

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 LUMX

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/lumx.io"><img src="https://aeo-audit.rezolve.com/finance/badges/lumx.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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