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

AU10TIX

au10tix.com

Fraud, identity and complianceFinancial technology and data

Money20/20 attendee

Statement period
October 9 and 10, 2026
when the AI assistants were asked
Account no.
255 of 2,219
its rank by overall score
Place in its category
29th of 171 fraud and identity companies
Closing balance

Named in

5of 60 answers

by 4 of 4 assistants

Statement note

What this means for AU10TIX

AI assistants name this fraud and identity company in 8.3% of answers, which is more often than the typical company in its sector at 1.7%. Its overall score is 40 out of 100, ranking 255th of 2,219 companies in the study. Its website passes 8 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned AU10TIX by name. AI assistants named it in 5 of the 60 answers. Counting only how often it is named, it ranks 130th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
40Overall score
  • Visibility10
  • Citations1
  • Sentiment100
  • Site quality73
  • AI readiness57
Summary of account
Named by AI in
8.3%
5 of 60 answers
Share of mentions
15.6%
of the mentions of it and its 5 peers
AI readiness
8/14
technical checks passed. Typical for its sector: 4
Rank in its sector
73 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

AU10TIX came up on 2 of 15 questions. Open any window to read that answer.

  1. 01How does biometric identity verification compare to document-based verification for enterprise use?0/4
  2. 02Are there cost-effective options for secure digital ID verification platforms for midsize businesses?0/4
  3. 03Why might an AI-based ID verification system fail to recognize a valid government-issued document?0/4
  4. 04What should an enterprise do if its identity verification workflow has high drop-off rates during customer onboarding?0/4
  5. 05What are the best AI-based identity verification platforms for businesses focused on compliance and security?4/4
  6. 06Which other types of automated compliance tools can support KYC and AML requirements besides AI-based ID verification?0/4
  7. 07Which automated ID verification solutions offer frictionless user experience for onboarding?1/4
  8. 08What are the differences between AI-powered age verification and traditional manual methods?0/4
  9. 09What features should enterprises look for in a comprehensive identity verification suite?0/4
  10. 10What factors affect the cost of implementing AI-powered identity verification solutions for enterprises?0/4
  11. 11Is it worth investing in future-proof digital ID solutions for regulatory compliance?0/4
  12. 12How can AI-driven identity verification help meet state-level age check requirements in the US?0/4
  13. 13What are practical applications of serial fraud monitoring in financial services?0/4
  14. 14How effective are automated identity validation tools in reducing fraud for large organizations?0/4
  15. 15What are alternative solutions to biometric verification for remote identity proofing?0/4
Total namedOpenAI: 1/15Claude: 1/15Perplexity: 2/15Gemini: 1/15All assistants: 5/60
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

“Which automated ID verification solutions offer frictionless user experience for onboarding?”

Several automated ID verification platforms are designed for low-friction onboarding:

AU10TIX — Fully automated document and identity verification, typically returning results in 4–8 seconds, with coverage across more than 240 countries and territories.

Veriff — AI-driven verification that can complete ID checks in as little as six seconds, supports more than 190 countries, and is designed to reduce abandonment during signup.

ID Analyzer DocuPass — No-code onboarding with document scanning, OCR, biometric face matching, liveness detection, and AML screening; it can red …

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
    Trulioo
    5
  2. 02
    Jumio
    4
  3. 03
    Onfido
    4
  4. 04
    Socure
    4

Share of mentions

CompanyShare
  1. Trulioo
    21.9%
  2. Onfido
    18.8%
  3. Jumio
    18.8%
  4. Socure
    18.8%
  5. AU10TIX
    15.6%
  6. ID.me
    6.3%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    microblink.com
    11
  2. 02
    vouched.id
    11
  3. 03
    ondato.com
    10
  4. 04
    veriff.com
    7
  5. 05
    signzy.com
    7
  6. 06
    sourceforge.net
    7
  7. 07
    scandit.com
    6
  8. 08
    nhimg.org
    6
  9. 09
    bureau.id
    6
  10. 10
    didit.me
    6

AU10TIX 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

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

How AU10TIX 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
1

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

Sentiment
100

How positively AI describes the company

Site quality
73

How well built the website's own pages are

AI readiness
57

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
40
Ranks 73 of 574. Typical company: 29
Named in answers
8.3%
Ranks 130 of 574. Typical company: 1.7%
AI readiness
57
Ranks 9 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
40
Ranks 25 of 171. Typical company: 30
Named in answers
8.3%
Ranks 35 of 171. Typical company: 1.7%
AI readiness
57
Ranks 3 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. AU10TIX 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
100 of 100
  • AI bot rulesPassed

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

    study: 92.7%
  • Content SignalsPassed

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

    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
18 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 1.3%
  • OAuth discoveryPartly met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 6.3%
  • OAuth Protected ResourcePassed

    Metadata telling agents which authorization server to use.

    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 56 of 100 · 97% of checks could run · checked on October 9, 2026 · www.au10tix.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

8 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

  • PassedExplicit AI bot rulesstudy: 11.5%

API / Auth / MCP

  • Not metAPI Catalog (.well-known/api-catalog)study: 1.1%
  • PassedOAuth Authorization Server discoverystudy: 5.2%
  • PassedOAuth 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 7 AI crawlers by name. All others follow its general rules.

Training AI

  • GPTBot*allowed
  • ClaudeBot*allowed
  • Anthropic-AIpartly
  • Google-Extended*allowed
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly

AI search

  • OAI-SearchBot*allowed
  • Claude-SearchBotpartly
  • PerplexityBot*allowed
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly

Answering questions

  • ChatGPT-User*allowed
  • Claude-Userpartly
  • Perplexity-User*allowed
  • 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 40 of 100 badge for AU10TIX

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/au10tix.com"><img src="https://aeo-audit.rezolve.com/finance/badges/au10tix.com.svg" alt="Overall score 40 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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