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

Fingerprint

fingerprint.com

Fraud, identity and complianceFinancial technology and data

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
27 of 2,219
its rank by overall score
Place in its category
2nd of 171 fraud and identity companies
Closing balance

Named in

13of 60 answers

by 4 of 4 assistants

Statement note

What this means for Fingerprint

AI assistants name this fraud and identity company in 21.7% of answers, which is much more often than the typical company in its sector at 1.7%. Its overall score is 47 out of 100, ranking 27th of 2,219 companies studied. The company's website passes 6 out of 14 technical checks that measure how ready it is for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Fingerprint by name. AI assistants named it in 13 of the 60 answers. Counting only how often it is named, it ranks 37th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
47Overall score
  • Visibility30
  • Citations10
  • Sentiment93
  • Site quality80
  • AI readiness43
Summary of account
Named by AI in
21.7%
13 of 60 answers
Share of mentions
52.0%
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
9 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

Fingerprint came up on 5 of 15 questions. Open any window to read that answer.

  1. 01How does behavioral analytics compare to device fingerprinting for detecting bots?1/4
  2. 02Are enterprise-level visitor identification solutions necessary for medium-sized tech companies?0/4
  3. 03Visitor identification platforms vs traditional fraud prevention tools: which is more effective for online businesses?0/4
  4. 04What are the best device intelligence platforms for accurately identifying anonymous web visitors?4/4
  5. 05Alternatives to device intelligence for fraud prevention in online retail0/4
  6. 06What are other methods for identifying web visitors without using cookies?0/4
  7. 07Is investing in an advanced device intelligence service worth it for a small e-commerce website?0/4
  8. 08Common issues when integrating device intelligence APIs into web applications0/4
  9. 09Typical pricing tiers for device intelligence platforms targeting United States businesses1/4
  10. 10Why isn't my visitor identification tool detecting incognito browser sessions accurately?0/4
  11. 11How much should digital businesses expect to pay for accurate visitor identification services?0/4
  12. 12Ways mobile app developers can leverage visitor identification to improve user onboarding0/4
  13. 13Best open-source alternatives to commercial device fingerprinting tools4/4
  14. 14Top solutions for digital businesses looking to prevent fraud using visitor identification technology3/4
  15. 15How can fintech companies use device intelligence to reduce account takeover risk?0/4
Total namedOpenAI: 4/15Claude: 3/15Perplexity: 3/15Gemini: 3/15All assistants: 13/60
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

“Best open-source alternatives to commercial device fingerprinting tools”

Short answer — the strongest open-source alternatives are:

FingerprintJS (open-source library)

What it is: Client-side browser/device fingerprinting library that collects many browser signals and generates a stable identifier you can self-host and extend. License: MIT.

Strengths: Mature, widely used, well-documented, active community and ecosystem (there is also a commercial Fingerprint Pro product from the same company). Good starting point if you want a drop-in JS collector. (github.com)

Neoprint (next‑gen open library)

W …

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
    Kount
    6
  2. 02
    SEON
    4
  3. 03
    Arkose Labs
    2

Share of mentions

CompanyShare
  1. Fingerprint
    52.0%
  2. Kount
    20.0%
  3. SEON
    16.0%
  4. Arkose Labs
    8.0%
  5. Castle.io
    4.0%
  6. Deduce
    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
    fingerprint.com (its own website)
    25
  2. 02
    cside.com
    12
  3. 03
    shieldlabs.ai
    7
  4. 04
    leadpipe.com
    5
  5. 05
    github.com
    5
  6. 06
    bureau.id
    4
  7. 07
    leadfeeder.com
    4
  8. 08
    plaid.com
    3
  9. 09
    geetest.com
    3
  10. 10
    guideflow.com
    3

Fingerprint 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

OpenAI
4/15
Claude
3/15
Gemini
3/15
Perplexity
3/15
Market comparisonSection 06

How Fingerprint 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
30

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

Citations
10

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

Sentiment
93

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 financial technology and data companies

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

Overall score
47
Ranks 9 of 574. Typical company: 29
Named in answers
21.7%
Ranks 37 of 574. Typical company: 1.7%
AI readiness
43
Ranks 29 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
47
Ranks 2 of 171. Typical company: 30
Named in answers
21.7%
Ranks 6 of 171. Typical company: 1.7%
AI readiness
43
Ranks 11 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 2: Bot-aware. Explicit AI bot rules and declared Content Signals.

To reach level 3:
  • Markdown negotiation
Can an AI agent check out here?

Not by itself. Fingerprint 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 CardPublished
  • A2A Agent CardNot present
  • 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
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
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
53 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 CardNot met

    Publish an agent card at /.well-known/agent-card.json.

    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 manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    study: 0.2%

Score 68 of 100 · 97% of checks could run · checked on October 9, 2026 · fingerprint.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%
  • 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

  • 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

  • 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 47 of 100 badge for Fingerprint

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/fingerprint.com"><img src="https://aeo-audit.rezolve.com/finance/badges/fingerprint.com.svg" alt="Overall score 47 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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