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

Orbs

orbs.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.
289 of 2,219
its rank by overall score
Place in its category
11th of 80 digital asset infrastructure companies
Closing balance

Named in

13of 60 answers

by 3 of 4 assistants

Statement note

What this means for Orbs

AI assistants name Orbs in 21.7% of answers, much more often than the typical company in its sector at 1.7%. It has an overall score of 39 out of 100, ranking 289th of 2,219 companies and 15th of 102 in its sector. Orbs' website passes 1 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Orbs 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
39Overall score
  • Visibility20
  • Citations1
  • Sentiment87
  • Site quality87
  • AI readiness7
Summary of account
Named by AI in
21.7%
13 of 60 answers
Share of mentions
19.1%
of the mentions of it and its 5 peers
AI readiness
1/14
technical checks passed. Typical for its sector: 4
Rank in its sector
15 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

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

  1. 01Layer-3 vs Layer-1 blockchains for institutional DeFi use—what are the main differences?1/4
  2. 02Which types of blockchain infrastructure offer aggregated liquidity and advanced order types similar to Layer-3 solutions?1/4
  3. 03How does a Layer-3 blockchain compare to a Layer-2 solution for DeFi trading speed and security?0/4
  4. 04What are some practical use cases for Layer-3 blockchains in optimizing DeFi derivatives trading?2/4
  5. 05Why am I experiencing high slippage on Layer-3 enabled DeFi trading platforms?1/4
  6. 06What are some alternatives to decentralized Layer-3 networks for efficient on-chain execution?0/4
  7. 07Are advanced on-chain trading platforms built on Layer-3 blockchains worth using for high-frequency trading?0/4
  8. 08Which networks offer the most efficient on-chain trading solutions for crypto traders in the US?0/4
  9. 09How does the cost structure for executing advanced trading orders on Layer-3 solutions compare to Layer-2?0/4
  10. 10Is it worth developing DeFi protocols on a decentralized Layer-3 blockchain versus staying on Layer-1 or Layer-2?0/4
  11. 11What are the best decentralized Layer-3 blockchains for advanced DeFi trading?3/4
  12. 12Where can developers find resources to build advanced DeFi trading protocols on Layer-3 blockchains?2/4
  13. 13How can I improve trade execution speed on decentralized Layer-3 networks?2/4
  14. 14How can decentralized Layer-3 infrastructure help aggregate liquidity for on-chain trading?1/4
  15. 15What are the typical transaction fees when trading on Layer-3 decentralized networks in the US?0/4
Total namedOpenAI: 0/15Claude: 5/15Perplexity: 2/15Gemini: 6/15All 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

“What are the best decentralized Layer-3 blockchains for advanced DeFi trading?”

For advanced DeFi trading, Orbs is the clearest current fit among decentralized Layer-3 projects. It is designed as a trading-focused L3 rather than a general-purpose chain, supporting decentralized limit orders, TWAP orders, liquidity aggregation, and advanced on-chain execution across host chains.

Best options

Project · Best for · Key strengths · Main caveat

Orbs · Advanced spot and derivatives execution · dLIMIT, dTWAP, Liquidity Hub, aggregated routing, and algorithmic order functionality. · It functions primarily as a decentralized exec …

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
    zkSync
    13
  2. 02
    StarkEx
    1

Share of mentions

CompanyShare
  1. Arbitrum Orbit
    30.9%
  2. Orbs
    19.1%
  3. zkSync
    16.2%
  4. Optimism Superchain / OP Stack
    16.2%
  5. Polygon CDK (Chain Development Kit) for Layer-2/3
    11.8%
  6. StarkEx
    5.9%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    yellow.com
    13
  2. 02
    github.com
    12
  3. 03
    medium.com
    12
  4. 04
    supra.com
    11
  5. 05
    gate.com
    11
  6. 06
    solulab.com
    10
  7. 07
    blog.portals.fi
    9
  8. 08
    arxiv.org
    9
  9. 09
    trustwallet.com
    8
  10. 10
    finbold.com
    8

Orbs 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
6/15
Claude
5/15
Perplexity
2/15
OpenAI
0/15
Market comparisonSection 06

How Orbs 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
20

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
87

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
7

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
39
Ranks 15 of 102. Typical company: 30
Named in answers
21.7%
Ranks 8 of 102. Typical company: 1.7%
AI readiness
7
Ranks 98 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
39
Ranks 11 of 80. Typical company: 29
Named in answers
21.7%
Ranks 5 of 80. Typical company: 1.7%
AI readiness
7
Ranks 76 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 0: Not yet agent-ready. Agents struggle to find basic information about the site.

To reach level 1:
  • 2 of robots.txt, Sitemap, Link headers
Can an AI agent check out here?

Not by itself. Orbs 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
0 of 100
  • robots.txtNot met

    Publish a valid robots.txt with crawl rules and a Sitemap line.

    study: 86.1%
  • SitemapNot 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
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
0 of 100
  • AI bot rulesNot 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 0 of 100 · 97% of checks could run · checked on October 9, 2026 · www.orbs.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

1 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

  • Not metrobots.txt publishedstudy: 85.1%
  • Not metXML 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

  • 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%
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ShareSection 11

Share this result

Overall score 39 of 100 badge for Orbs

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/orbs.com"><img src="https://aeo-audit.rezolve.com/finance/badges/orbs.com.svg" alt="Overall score 39 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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