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.

Back to the study
AI visibility statementFinance AI Visibility Study 2026Issued October 14, 2026
Account holder
Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
378 of 2,219
its rank by overall score
Closing balance

Named in

16of 60 answers

by 4 of 4 assistants

Statement note

What this means for QuickNode

AI assistants name QuickNode in 26.7% of answers, much more often than the typical company in its sector at 1.7%. QuickNode's overall score is 38 out of 100, ranking 378th of 2,219 companies. Its website passes 7 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned QuickNode by name. AI assistants named it in 16 of the 60 answers. Counting only how often it is named, it ranks 7th of 102 in its sector. The typical crypto and digital asset company is named in 1.7% of answers.

Overall score
38Overall score
  • Visibility26
  • Citations6
  • Sentiment65
  • Site quality67
  • AI readiness50
Summary of account
Named by AI in
26.7%
16 of 60 answers
Share of mentions
26.2%
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
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

QuickNode came up on 10 of 15 questions. Open any window to read that answer.

  1. 01Best practices for integrating real-time blockchain event streams into trading algorithms1/4
  2. 02Alternatives to managed blockchain infrastructure for developers needing custom node setups2/4
  3. 03What pricing models do blockchain infrastructure platforms use for high-volume applications?1/4
  4. 04Common issues when setting up multi-chain RPC endpoints for Web3 projects1/4
  5. 05What features should I look for in a blockchain development platform if I need high uptime and fast transaction speeds?0/4
  6. 06Multi-chain RPC vs single-chain development platforms: which is better for scaling Web3 applications?1/4
  7. 07Best non-hosted solutions for accessing blockchain data without relying on third-party platforms0/4
  8. 08How does RPC node hosting compare to managed trading infrastructure for blockchain apps?1/4
  9. 09Which blockchain platforms offer both real-time data streams and indexed chain data?3/4
  10. 10How much does it typically cost to run blockchain nodes with real-time data access in the US?2/4
  11. 11Why are my blockchain data streams delayed on my current infrastructure provider?1/4
  12. 12Which blockchain platforms are best for supporting high-frequency trading and analytics?0/4
  13. 13How can indexed blockchain data help fintech startups analyze historical transactions?0/4
  14. 14Is it worth paying extra for enterprise-grade blockchain infrastructure with dedicated clusters?0/4
  15. 15What’s the best blockchain infrastructure platform for multi-chain development?3/4
Total namedOpenAI: 6/15Claude: 2/15Perplexity: 2/15Gemini: 6/15All assistants: 16/60
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’s the best blockchain infrastructure platform for multi-chain development?”

QuickNode is the best default choice for multi-chain development if you want broad network coverage, low-latency RPC access, WebSockets, indexed data streams, webhooks, and an ecosystem of add-ons in one platform. It supports more than 80 chains, including major EVM and non-EVM networks.

Platform · Best for · Key strength

QuickNode · Most teams · Broad coverage, strong tooling, Streams, Webhooks, and marketplace integrations

Chainstack · Enterprise and mixed-chain projects · Supports major EVM and non-EVM networks, including Ethereum, Solana, Polyg …

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
    Alchemy
    10
  2. 02
    Infura
    7
  3. 03
    Chainstack
    7
  4. 04
    Moralis
    3
  5. 05
    Blockdaemon
    2

Share of mentions

CompanyShare
  1. QuickNode
    26.2%
  2. Alchemy
    26.2%
  3. Chainstack
    21.3%
  4. Infura
    16.4%
  5. Moralis
    4.9%
  6. Blockdaemon
    4.9%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    quicknode.com (its own website)
    15
  2. 02
    chainstack.com
    15
  3. 03
    alchemy.com
    13
  4. 04
    nownodes.io
    10
  5. 05
    dwellir.com
    9
  6. 06
    chainscorelabs.com
    8
  7. 07
    cherryservers.com
    8
  8. 08
    sourceforge.net
    7
  9. 09
    onfinality.io
    6
  10. 10
    rpcfast.com
    5

QuickNode 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
OpenAI
6/15
Claude
2/15
Perplexity
2/15
Market comparisonSection 06

How QuickNode 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
26

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

Citations
6

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

Sentiment
65

How positively AI describes the company

Site quality
67

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
38
Ranks 21 of 102. Typical company: 30
Named in answers
26.7%
Ranks 7 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
38
Ranks 14 of 80. Typical company: 29
Named in answers
26.7%
Ranks 4 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 5: Agent-native. Signed bots, every integration and auth metadata, two of the three.

Can an AI agent check out here?

Yes. QuickNode publishes MPP, which an AI agent can pay or check out through.

Agent payment protocols
  • x402Not present
  • MPPPublished
  • AP2Not present
  • ACPNot present
  • UCPNot present
Interfaces for AI agents
  • MCP Server CardPublished
  • A2A Agent CardPublished
  • Agent SkillsPublished
  • API CatalogPublished
  • llms.txtPublished
  • WebMCPCould not check
Show every check, for your technical team
Discoverability
100 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 headersPassed

    HTTP Link headers on the homepage that point agents at machine readable resources.

    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
73 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 92.7%
  • Content SignalsPassed

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

    study: 2.3%
  • Web Bot AuthPassed

    A key directory other sites can use to verify requests from your own agents.

    study: 0.3%
APIs, auth and MCP
73 of 100
  • API CatalogPassed

    A linkset at /.well-known/api-catalog listing APIs, specs and docs.

    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 CardPassed

    An agent card at /.well-known/agent-card.json for agent to agent discovery.

    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 manifestPassed

    An ai-catalog.json listing MCP servers, agents, skills and APIs.

    study: 0.2%

Score 85 of 100 · 97% of checks could run · checked on October 9, 2026 · www.quicknode.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

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

  • Not metExplicit AI bot rulesstudy: 11.5%

API / Auth / MCP

  • PassedAPI 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 QuickNode

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/quicknode.com"><img src="https://aeo-audit.rezolve.com/finance/badges/quicknode.com.svg" alt="Overall score 38 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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