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.
78 of 2,219
its rank by overall score
Closing balance

Named in

11of 60 answers

by 4 of 4 assistants

Statement note

What this means for ComplyAdvantage

AI assistants name this fraud and identity company in 18.3% of answers, much more often than the typical company in its sector, which is named in 1.7%. Its overall score is 44 out of 100, ranking 78th of 2,219 overall and 25th of 574 in its sector. Its website passes 4 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned ComplyAdvantage by name. AI assistants named it in 11 of the 60 answers. Counting only how often it is named, it ranks 53rd of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
44Overall score
  • Visibility27
  • Citations4
  • Sentiment86
  • Site quality87
  • AI readiness29
Summary of account
Named by AI in
18.3%
11 of 60 answers
Share of mentions
50.0%
of the mentions of it and its 5 peers
AI readiness
4/14
technical checks passed. Typical for its sector: 4
Rank in its sector
25 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

ComplyAdvantage came up on 6 of 15 questions. Open any window to read that answer.

  1. 01What are common ways compliance teams leverage embedded agents in financial crime platforms?0/4
  2. 02What are the differences between cloud-based and on-premises AML compliance platforms?1/4
  3. 03What compliance features should banks look for in a modern AI-powered AML platform?0/4
  4. 04How are US-based AI AML platform fees typically structured?1/4
  5. 05Why might an automated AML solution generate a high false-positive hit rate?0/4
  6. 06Do AI-powered AML systems significantly reduce manual review times and false positives?1/4
  7. 07What factors influence the cost of AI-driven compliance solutions for financial institutions?0/4
  8. 08Which manual processes can replace automated financial crime detection tools?0/4
  9. 09How do AI-based AML tools compare to traditional financial crime compliance systems?0/4
  10. 10What are alternatives to AI-driven AML platforms for managing financial crime risk?1/4
  11. 11Is investing in an AI-native financial crime compliance platform worth it for mid-sized US banks?0/4
  12. 12What can cause delays in risk decision-making within automated compliance platforms?0/4
  13. 13Which financial crime risk detection platforms work well for faster customer onboarding?3/4
  14. 14How can financial institutions use AI to streamline AML risk assessments during onboarding?0/4
  15. 15What are the best AI-driven AML solutions for automating financial crime compliance?4/4
Total namedOpenAI: 3/15Claude: 2/15Perplexity: 3/15Gemini: 3/15All assistants: 11/60
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

“What are the best AI-driven AML solutions for automating financial crime compliance?”

Short answer: the market leaders for AI-driven AML (transaction monitoring, customer risk scoring, screening, and workflow automation) are ComplyAdvantage, NICE Actimize, Feedzai, FICO (and FICO Falcon/Fraud & AML offerings), Quantexa, and a few specialist vendors (ThetaRay, SAS, BAE Systems’ NetReveal). Which is “best” depends on your use case (bank vs. fintech vs. payments/crypto), data architecture, regulatory regime, need for explainability, and whether you want an AI‑native SaaS or an on-prem/managed option. (complyadvantage.com …

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
    Sanction Scanner
    3
  2. 02
    Fenergo
    2

Share of mentions

CompanyShare
  1. ComplyAdvantage
    50.0%
  2. Actimize by NICE
    22.7%
  3. LexisNexis Risk Solutions
    13.6%
  4. Sanction Scanner
    9.1%
  5. Fenergo
    4.5%
  6. IdentityMind (acquired by Prove)
    0.0%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    flagright.com
    15
  2. 02
    complyadvantage.com (its own website)
    11
  3. 03
    arxiv.org
    6
  4. 04
    amlwatcher.com
    6
  5. 05
    seon.io
    5
  6. 06
    microblink.com
    5
  7. 07
    vouched.id
    5
  8. 08
    sphinxhq.com
    4
  9. 09
    symphonyai.com
    4
  10. 10
    fintech.global
    4

ComplyAdvantage 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
3/15
OpenAI
3/15
Perplexity
3/15
Claude
2/15
Market comparisonSection 06

How ComplyAdvantage 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
27

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

Citations
4

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

Sentiment
86

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
29

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
44
Ranks 25 of 574. Typical company: 29
Named in answers
18.3%
Ranks 53 of 574. Typical company: 1.7%
AI readiness
29
Ranks 224 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
44
Ranks 8 of 171. Typical company: 30
Named in answers
18.3%
Ranks 11 of 171. Typical company: 1.7%
AI readiness
29
Ranks 88 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. ComplyAdvantage 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 · complyadvantage.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

4 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

  • 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

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Overall score 44 of 100 badge for ComplyAdvantage

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