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

Chainlink Labs

chain.link

Stablecoins and digital asset infrastructureCrypto and digital assets

Money20/20 attendee

Statement period
October 9, 2026
when the AI assistants were asked
Account no.
166 of 2,219
its rank by overall score
Place in its category
5th of 80 digital asset infrastructure companies
Closing balance

Named in

21of 60 answers

by 4 of 4 assistants

Statement note

What this means for Chainlink Labs

AI assistants name Chainlink Labs in 35% of answers, much more often than the typical company in its sector, which is named in 1.7% of answers. Its overall score is 41 out of 100, ranking 166th of 2,219 in the study and 7th of 102 in its sector. The website passes 6 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Chainlink Labs by name. AI assistants named it in 21 of the 60 answers. Counting only how often it is named, it ranks 5th of 102 in its sector. The typical crypto and digital asset company is named in 1.7% of answers.

Overall score
41Overall score
  • Visibility35
  • Citations17
  • Sentiment50
  • Site quality73
  • AI readiness43
Summary of account
Named by AI in
35.0%
21 of 60 answers
Share of mentions
38.9%
of the mentions of it and its 5 peers
AI readiness
6/14
technical checks passed. Typical for its sector: 4
Rank in its sector
7 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

Chainlink Labs came up on 12 of 15 questions. Open any window to read that answer.

  1. 01Why is my smart contract not receiving real-time market data from the oracle network?2/4
  2. 02Which oracle types are best suited for bridging traditional and on-chain payment systems?2/4
  3. 03What are some alternatives to decentralized oracle platforms for integrating real-world data with smart contracts?1/4
  4. 04What features should I look for in an oracle provider to support cross-chain settlement in DeFi projects?2/4
  5. 05What are the best blockchain oracle solutions for decentralized finance applications?4/4
  6. 06On-chain vs off-chain oracle infrastructure for financial institutions: what are the pros and cons?0/4
  7. 07Which other infrastructure options exist for connecting capital markets to blockchain networks?2/4
  8. 08How do I resolve delayed data updates in an on-chain oracle system?2/4
  9. 09How can financial services leverage blockchain oracles for compliant, transparent stablecoin operations?1/4
  10. 10How do oracles support tokenized asset workflows in enterprise finance?0/4
  11. 11What factors affect the cost of running secure oracle nodes for tokenization projects?1/4
  12. 12How does decentralized oracle technology compare to traditional data feeds for asset settlement?1/4
  13. 13How are blockchain oracle services priced for enterprise-scale integrations?1/4
  14. 14What are some practical ways to use oracle technology for cross-border private transactions?0/4
  15. 15Is investing in a premium oracle service worth it for tokenized asset management?2/4
Total namedOpenAI: 4/15Claude: 8/15Perplexity: 3/15Gemini: 6/15All assistants: 21/60
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 blockchain oracle solutions for decentralized finance applications?”

The strongest DeFi oracle choices are Chainlink, Pyth Network, RedStone, Chronicle, and Tellor. The best option depends on whether the application prioritizes broad network coverage, ultra-low latency, customizable feeds, low cost, or censorship resistance.

Oracle · Best for · Key strengths · Main trade-offs

Chainlink · General-purpose DeFi and lending · Mature security model, broad blockchain support, extensive price-feed coverage, and adoption across major DeFi protocols · Can be comparatively expensive or slower than pull-based alternatives

Pyth …

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
    API3
    11
  2. 02
    Pyth Network
    9
  3. 03
    Band Protocol
    7

Share of mentions

CompanyShare
  1. Chainlink Labs
    38.9%
  2. API3
    20.4%
  3. Pyth Network
    13.0%
  4. Band Protocol
    11.1%
  5. DIA (Decentralised Information Asset)
    9.3%
  6. UMA (Universal Market Access)
    7.4%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    chain.link (its own website)
    72
  2. 02
    oracle.com
    39
  3. 03
    medium.com
    18
  4. 04
    chainscorelabs.com
    15
  5. 05
    blogs.oracle.com
    14
  6. 06
    nadcab.com
    9
  7. 07
    rwa.io
    9
  8. 08
    docs.oracle.com
    9
  9. 09
    sourceforge.net
    7
  10. 10
    ethereum.org
    6

Chainlink Labs 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
8/15
Gemini
6/15
OpenAI
4/15
Perplexity
3/15
Market comparisonSection 06

How Chainlink Labs 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
35

How often AI assistants name the company, and how that compares with its peers

Citations
17

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

Sentiment
50

How positively AI describes the company

Site quality
73

How well built the website's own pages are

AI readiness
43

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
41
Ranks 7 of 102. Typical company: 30
Named in answers
35.0%
Ranks 5 of 102. Typical company: 1.7%
AI readiness
43
Ranks 8 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
41
Ranks 5 of 80. Typical company: 29
Named in answers
35.0%
Ranks 2 of 80. Typical company: 1.7%
AI readiness
43
Ranks 7 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. Chainlink Labs 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
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
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 47 of 100 · 97% of checks could run · checked on October 9, 2026 · chain.link · 2,200 companies scanned

See how every company did, and how this was measured.

AI readinessSection 10

The checks behind the AI readiness score

6 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

  • 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 41 of 100 badge for Chainlink Labs

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/chain.link"><img src="https://aeo-audit.rezolve.com/finance/badges/chain.link.svg" alt="Overall score 41 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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