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
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MethodDemo
Back to the study
AI visibility statementFinance AI Visibility Study 2026Issued October 14, 2026
Account holder

Hashgraph

hedera.com

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.
423 of 2,219
its rank by overall score
Place in its category
18th of 80 digital asset infrastructure companies
Closing balance

Named in

3of 60 answers

by 3 of 4 assistants

Statement note

What this means for Hashgraph

AI assistants name Hashgraph in 5% of answers, which is more often than the typical company in its sector at 1.7%. Its overall score is 38 out of 100, ranking 423rd of 2,219 companies and 21st in its sector. The website passes 5 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Hashgraph by name. AI assistants named it in 3 of the 60 answers. Counting only how often it is named, it ranks 40th of 102 in its sector. The typical crypto and digital asset company is named in 1.7% of answers.

Overall score
38Overall score
  • Visibility6
  • Citations0
  • Sentiment100
  • Site quality80
  • AI readiness36
Summary of account
Named by AI in
5.0%
3 of 60 answers
Share of mentions
9.4%
of the mentions of it and its 5 peers
AI readiness
5/14
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

Hashgraph came up on 2 of 15 questions. Open any window to read that answer.

  1. 01What are common issues with integrating smart contract services into enterprise systems?0/4
  2. 02How can US companies use blockchain for sustainability initiatives?0/4
  3. 03Consensus algorithms in enterprise blockchains: which types are most secure and efficient?0/4
  4. 04What are some real-world applications of blockchain-based payments in American businesses?0/4
  5. 05Are decentralized finance solutions suitable for US-based institutions?0/4
  6. 06Is an enterprise blockchain platform worth the investment for large-scale supply chain management?0/4
  7. 07Tokenization platforms vs. traditional asset management solutions: how do they compare?0/4
  8. 08What solutions do US enterprises use for decentralized identity management?0/4
  9. 09What are alternatives to enterprise-focused decentralized networks for app developers?1/4
  10. 10Enterprise blockchain platforms versus public blockchains—what are the main differences?0/4
  11. 11What factors impact the cost of deploying decentralized applications on an enterprise blockchain infrastructure?0/4
  12. 12What are the best enterprise blockchain platforms for building secure decentralized applications?2/4
  13. 13Which blockchain infrastructures support fast and compliant asset tokenization for enterprises?0/4
  14. 14How are transaction fees typically structured for enterprise-grade blockchain platforms?0/4
  15. 15Why might transactions on enterprise blockchain platforms fail to finalize quickly?0/4
Total namedOpenAI: 1/15Claude: 1/15Perplexity: 0/15Gemini: 1/15All assistants: 3/60
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

“What are the best enterprise blockchain platforms for building secure decentralized applications?”

Short answer

Leading enterprise platforms for building secure, permissioned decentralized applications (dApps) are: Hyperledger Fabric, R3 Corda, Enterprise/EVM-compatible clients (Hyperledger Besu / Quorum / ConsenSys stack), and (for high-performance customizable instances) Avalanche Subnets. Other notable enterprise-focused options include Hedera, Digital Asset’s Canton/DAML ecosystem, and vendor-managed Fabric offerings (IBM, Kaleido). (docs.r3.com)

What distinguishes them (short pros / cons)

Hyperledger Fabric

Pros: M …

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
    Hyperledger Fabric
    12
  2. 02
    R3 Corda
    5
  3. 03
    Hedera
    3

Share of mentions

CompanyShare
  1. Hyperledger Fabric
    50.0%
  2. R3 Corda
    25.0%
  3. Quorum by ConsenSys
    15.6%
  4. Hashgraph
    9.4%
  5. IBM Blockchain Platform
    0.0%
  6. Algorand
    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
    medium.com
    15
  2. 02
    arxiv.org
    10
  3. 03
    blockchain-council.org
    9
  4. 04
    chain.link
    8
  5. 05
    techtarget.com
    8
  6. 06
    nadcab.com
    7
  7. 07
    pwc.com
    5
  8. 08
    builtin.com
    5
  9. 09
    finextra.com
    4
  10. 10
    cobo.com
    4

Hashgraph 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
1/15
Claude
1/15
OpenAI
1/15
Perplexity
0/15
Market comparisonSection 06

How Hashgraph 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
6

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
100

How positively AI describes the company

Site quality
80

How well built the website's own pages are

AI readiness
36

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
5.0%
Ranks 40 of 102. Typical company: 1.7%
AI readiness
36
Ranks 21 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
5.0%
Ranks 30 of 80. Typical company: 1.7%
AI readiness
36
Ranks 16 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. Hashgraph 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
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 36 of 100 · 97% of checks could run · checked on October 9, 2026 · hedera.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

5 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

  • 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

  • GPTBotallowed
  • ClaudeBotallowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed

AI search

  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBotallowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed

Answering questions

  • ChatGPT-Userallowed
  • Claude-Userallowed
  • Perplexity-Userallowed
  • DuckAssistBotallowed
  • MistralAI-Userallowed

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 Hashgraph

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