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

Stellar Development Foundation

stellar.org

Stablecoins and digital asset infrastructureCrypto and digital assets

Money20/20 attendee

Statement period
October 9 and 10, 2026
when the AI assistants were asked
Account no.
459 of 2,219
its rank by overall score
Place in its category
21st of 80 digital asset infrastructure companies
Closing balance

Named in

12of 60 answers

by 4 of 4 assistants

Statement note

What this means for Stellar Development Foundation

AI assistants name Stellar Development Foundation in 20% of answers, much more often than the typical company in its sector, which is named in 1.7% of answers. Its overall score is 37 out of 100, ranking 459th of 2,219 companies in the study. The website passes 4 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Stellar Development Foundation by name. AI assistants named it in 12 of the 60 answers. Counting only how often it is named, it ranks 10th of 102 in its sector. The typical crypto and digital asset company is named in 1.7% of answers.

Overall score
37Overall score
  • Visibility29
  • Citations1
  • Sentiment50
  • Site quality87
  • AI readiness29
Summary of account
Named by AI in
20.0%
12 of 60 answers
Share of mentions
50.0%
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
28 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

Stellar Development Foundation came up on 5 of 15 questions. Open any window to read that answer.

  1. 01Blockchain networks for cross-border settlements vs traditional correspondent banking systems?0/4
  2. 02Should fintechs consider decentralized networks for treasury management?0/4
  3. 03How can a regulated blockchain network be used for onchain FX conversions?0/4
  4. 04What can cause slow settlement times on blockchain-based remittance solutions?0/4
  5. 05Is adopting a blockchain payment platform for international payrolls worth it for US businesses?0/4
  6. 06Asset tokenization on open blockchain protocols vs enterprise blockchains—what are the pros and cons?0/4
  7. 07Common challenges when integrating a blockchain payments API into existing finance tools?0/4
  8. 08What are the best blockchain networks for regulated asset tokenization?3/4
  9. 09Best alternatives to compliance-focused blockchain networks for asset issuance and payments?4/4
  10. 10How do transaction fees on blockchain payment solutions compare to traditional wire transfers?0/4
  11. 11How does a public blockchain for payments compare to a private permissioned ledger for asset issuance?0/4
  12. 12What are popular applications of blockchain in real-world asset tokenization for banks?0/4
  13. 13Do blockchain-based remittance infrastructures save money compared to legacy providers?1/4
  14. 14Which blockchain platforms are most reliable for cross-border payments?3/4
  15. 15Top compliance-focused blockchain solutions for financial institutions in the US?1/4
Total namedOpenAI: 3/15Claude: 4/15Perplexity: 3/15Gemini: 2/15All assistants: 12/60
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 platforms are most reliable for cross-border payments?”

Short answer

For public, payments-optimized blockchains: Stellar and the XRP Ledger (RippleNet/ODL) are widely used and generally considered reliable for cross-border payments. (stellar.org)

For institutional / permissioned implementations: Hyperledger Fabric and R3 Corda (and similar permissioned ledgers) are often chosen by banks and consortia because they offer privacy, regulatory controls and integration with existing systems. (lf-hyperledger.atlassian.net)

Don’t fo …

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
    Ripple
    2
  2. 02
    Fireblocks
    2

Share of mentions

CompanyShare
  1. Stellar Development Foundation
    50.0%
  2. Ripple
    25.0%
  3. Fireblocks
    12.5%
  4. Circle (USDC Platform)
    8.3%
  5. ConsenSys (MetaMask Institutional)
    4.2%
  6. Alchemy Pay
    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
    blockchain-council.org
    12
  2. 02
    arxiv.org
    6
  3. 03
    jpmorgan.com
    4
  4. 04
    bitwage.com
    4
  5. 05
    cobo.com
    4
  6. 06
    financefeeds.com
    4
  7. 07
    bybit.com
    4
  8. 08
    solulab.com
    4
  9. 09
    stripe.com
    4
  10. 10
    stellar.org (its own website)
    4

Stellar Development Foundation 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

Claude
4/15
OpenAI
3/15
Perplexity
3/15
Gemini
2/15
Market comparisonSection 06

How Stellar Development Foundation 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
1

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

Sentiment
50

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
37
Ranks 28 of 102. Typical company: 30
Named in answers
20.0%
Ranks 10 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
37
Ranks 21 of 80. Typical company: 29
Named in answers
20.0%
Ranks 7 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?

Not by itself. Stellar Development Foundation 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.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
50 of 100
  • Markdown negotiationPassed

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

    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 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 35 of 100 · 97% of checks could run · checked on October 9, 2026 · stellar.org · 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

  • PassedMarkdown 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 37 of 100 badge for Stellar Development Foundation

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/stellar.org"><img src="https://aeo-audit.rezolve.com/finance/badges/stellar.org.svg" alt="Overall score 37 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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