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

Named in

26of 60 answers

by 4 of 4 assistants

Statement note

What this means for Chainalysis

AI assistants name this fraud and identity company in 43.3% of answers, far more often than the typical company in its sector at 1.7%. Its overall score is 43 out of 100, which ranks 92nd of 2,219 companies and 34th of 574 in its sector. Its website passes 5 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Chainalysis by name. AI assistants named it in 26 of the 60 answers. Counting only how often it is named, it ranks 7th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
43Overall score
  • Visibility39
  • Citations5
  • Sentiment72
  • Site quality73
  • AI readiness36
Summary of account
Named by AI in
43.3%
26 of 60 answers
Share of mentions
33.8%
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
34 of 574
by overall score, where the typical financial technology and data company scores 29

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Line itemsSection 01

Every question, and where the company came up

Chainalysis came up on 11 of 15 questions. Open any window to read that answer.

  1. 01Top tools for investigating suspicious crypto transactions in the US4/4
  2. 02Common errors when integrating blockchain data platforms with existing AML systems0/4
  3. 03Blockchain compliance software vs traditional financial compliance tools2/4
  4. 04What factors affect the price of a blockchain data analytics subscription?0/4
  5. 05What are non-SaaS solutions for blockchain risk assessment and crypto compliance?0/4
  6. 06Alternatives to AI-powered blockchain investigation platforms for compliance teams2/4
  7. 07What are the best blockchain analytics platforms for cryptocurrency businesses?4/4
  8. 08How much do blockchain intelligence platforms cost for small crypto businesses?4/4
  9. 09How can government agencies use blockchain data platforms to trace illicit funds?2/4
  10. 10Options for cryptocurrency businesses that need open-source blockchain analytics tools2/4
  11. 11Do blockchain analytics solutions help financial institutions meet regulatory requirements in the US?1/4
  12. 12Is it worth investing in enterprise blockchain intelligence software for a mid-size crypto exchange?2/4
  13. 13How do crypto fraud prevention platforms differ from blockchain risk management solutions?2/4
  14. 14Best practices for leveraging crypto compliance software to prevent fraud at a bank1/4
  15. 15Why aren’t some suspicious crypto transactions appearing in my analytics dashboard?0/4
Total namedOpenAI: 6/15Claude: 8/15Perplexity: 3/15Gemini: 9/15All assistants: 26/60
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

“How much do blockchain intelligence platforms cost for small crypto businesses?”

Short answer

There’s no single price — enterprise-grade vendors (Chainalysis, Elliptic, TRM, CipherTrace) normally sell by negotiation and commonly start in the tens of thousands of dollars per year for production KYT/forensics, while lightweight/transparent KYT tools aimed at startups can be as cheap as ~$50–$100/month. (costbench.com)

What drives the cost

Pricing model: monthly subscription, per-seat, per-API call, per-transaction (KYT), or a mixture (base fee + volume-based overage). Enterprise deals often include on …

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
    TRM Labs
    33
  2. 02
    Elliptic
    26
  3. 03
    Coinfirm
    1
  4. 04
    Solidus Labs
    1

Share of mentions

CompanyShare
  1. Chainalysis
    33.8%
  2. Elliptic
    29.9%
  3. TRM Labs
    26.0%
  4. CipherTrace (a Mastercard company)
    7.8%
  5. Coinfirm
    1.3%
  6. Solidus Labs
    1.3%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    trmlabs.com
    34
  2. 02
    chainalysis.com (its own website)
    22
  3. 03
    elliptic.co
    17
  4. 04
    blocksec.com
    16
  5. 05
    sourceforge.net
    11
  6. 06
    financialcrimeacademy.org
    9
  7. 07
    f6s.com
    8
  8. 08
    walletinvestor.com
    8
  9. 09
    blockchain-council.org
    7
  10. 10
    sphinxhq.com
    7

Chainalysis is in the study as a fraud and identity company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
9/15
Claude
8/15
OpenAI
6/15
Perplexity
3/15
Market comparisonSection 06

How Chainalysis 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
39

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

Citations
5

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

Sentiment
72

How positively AI describes the company

Site quality
73

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 financial technology and data companies

574 companies in this sector. The gold tick on each bar is the typical company.

Overall score
43
Ranks 34 of 574. Typical company: 29
Named in answers
43.3%
Ranks 7 of 574. Typical company: 1.7%
AI readiness
36
Ranks 83 of 574. Typical company: 29
Against its categorySection 08

Compared with fraud and identity companies

171 companies in this category. The gold tick on each bar is the typical company.

Overall score
43
Ranks 12 of 171. Typical company: 30
Named in answers
43.3%
Ranks 1 of 171. Typical company: 1.7%
AI readiness
36
Ranks 35 of 171. 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. Chainalysis 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 · www.chainalysis.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

  • 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 43 of 100 badge for Chainalysis

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/chainalysis.com"><img src="https://aeo-audit.rezolve.com/finance/badges/chainalysis.com.svg" alt="Overall score 43 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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