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 and 10, 2026
when the AI assistants were asked
Account no.
318 of 2,219
its rank by overall score
Closing balance

Named in

6of 60 answers

by 4 of 4 assistants

Statement note

What this means for Goldsky

AI assistants name Goldsky in 10% of answers, more often than the typical company in its sector, which is named in 1.7%. Its overall score is 39 out of 100, ranking 318th of 2,219 overall and 15th of 102 in its sector. Goldsky's website passes 6 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Goldsky by name. AI assistants named it in 6 of the 60 answers. Counting only how often it is named, it ranks 25th of 102 in its sector. The typical crypto and digital asset company is named in 1.7% of answers.

Overall score
39Overall score
  • Visibility10
  • Citations2
  • Sentiment90
  • Site quality80
  • AI readiness43
Summary of account
Named by AI in
10.0%
6 of 60 answers
Share of mentions
9.7%
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
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

Goldsky came up on 4 of 15 questions. Open any window to read that answer.

  1. 01What are the best platforms for real-time blockchain data automation for fintech companies?1/4
  2. 02What are some alternatives to using streaming pipelines for real-time blockchain data retrieval?0/4
  3. 03How can I resolve RPC errors when accessing onchain state in my fintech application?0/4
  4. 04How can I automate reconciliation for stablecoin transactions in blockchain finance?0/4
  5. 05Is a dedicated blockchain data infrastructure worth it for crypto app developers?0/4
  6. 06Why is my blockchain data pipeline showing delayed transaction updates?0/4
  7. 07What is the typical cost structure for data indexing platforms serving crypto businesses?1/4
  8. 08Are there free tiers available for blockchain automation backends in the US?0/4
  9. 09Are automation pipelines for stablecoin transactions a good investment for financial startups?0/4
  10. 10Real-time blockchain data indexing vs batch processing—what are the pros and cons?0/4
  11. 11Which tools provide unified APIs for wallet and transaction data across blockchains?0/4
  12. 12What are practical applications of streaming wallet data for digital asset platforms?0/4
  13. 13Which solutions offer instant data indexing for stablecoin-enabled financial services?3/4
  14. 14How does onchain data streaming compare to traditional blockchain data APIs?0/4
  15. 15Alternatives to API-driven approaches for automating onchain finance workflows?1/4
Total namedOpenAI: 1/15Claude: 2/15Perplexity: 2/15Gemini: 1/15All assistants: 6/60
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 platforms for real-time blockchain data automation for fintech companies?”

The best choice depends on whether the fintech needs raw chain infrastructure, indexed event streams, compliance intelligence, or market data. A practical shortlist is:

Platform · Best for · Key strengths

Goldsky · Real-time indexed data pipelines · Sub-second blockchain data, streaming, and fintech-oriented support for stablecoin workflows

QuickNode · Broad chain access and developer APIs · RPC, real-time data, automation, and Streams pipelines across 69+ blockchains

Chainstack · Managed multichain infrastructure · Production APIs, node in …

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
    20
  2. 02
    The Graph
    19
  3. 03
    QuickNode
    11
  4. 04
    Chainstack
    7
  5. 05
    Moralis
    2

Share of mentions

CompanyShare
  1. QuickNode
    25.8%
  2. Alchemy
    24.2%
  3. The Graph
    24.2%
  4. Goldsky
    9.7%
  5. Chainstack
    9.7%
  6. Moralis
    6.5%
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
    25
  2. 02
    chainscorelabs.com
    10
  3. 03
    stripe.com
    10
  4. 04
    allium.so
    10
  5. 05
    alchemy.com
    9
  6. 06
    eco.com
    8
  7. 07
    chainstack.com
    7
  8. 08
    indexing.co
    6
  9. 09
    chain.link
    6
  10. 10
    thegraph.com
    6

Goldsky 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
2/15
Perplexity
2/15
Gemini
1/15
OpenAI
1/15
Market comparisonSection 06

How Goldsky 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
10

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

Citations
2

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

Sentiment
90

How positively AI describes the company

Site quality
80

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
39
Ranks 15 of 102. Typical company: 30
Named in answers
10.0%
Ranks 25 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
39
Ranks 11 of 80. Typical company: 29
Named in answers
10.0%
Ranks 18 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. Goldsky 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
63 of 100
  • AI bot rulesPassed

    Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.

    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 54 of 100 · 97% of checks could run · checked on October 9, 2026 · goldsky.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

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%
  • Not metHTTP 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

  • PassedExplicit 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 rules for 13 AI crawlers by name. All others follow its general rules.

Training AI

  • GPTBot*partly
  • ClaudeBot*partly
  • Anthropic-AIpartly
  • Google-Extended*partly
  • Applebot-Extended*partly
  • Meta-ExternalAgent*partly
  • FacebookBotpartly
  • Bytespider*partly
  • CCBot*partly
  • Diffbotpartly
  • Omgilibotpartly

AI search

  • OAI-SearchBot*partly
  • Claude-SearchBot*partly
  • PerplexityBot*partly
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly

Answering questions

  • ChatGPT-User*partly
  • Claude-User*partly
  • Perplexity-User*partly
  • 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

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Overall score 39 of 100 badge for Goldsky

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/goldsky.com"><img src="https://aeo-audit.rezolve.com/finance/badges/goldsky.com.svg" alt="Overall score 39 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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