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

Sumsub

sumsub.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.
244 of 2,219
its rank by overall score
Place in its category
28th of 171 fraud and identity companies
Closing balance

Named in

7of 60 answers

by 4 of 4 assistants

Statement note

What this means for Sumsub

AI assistants name this fraud and identity company in 11.7% of answers, more often than the typical company in its sector. Its overall score is 40 out of 100, placing it 244th of 2,219 companies. Its website passes 5 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Sumsub by name. AI assistants named it in 7 of the 60 answers. Counting only how often it is named, it ranks 100th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
40Overall score
  • Visibility15
  • Citations2
  • Sentiment92
  • Site quality80
  • AI readiness36
Summary of account
Named by AI in
11.7%
7 of 60 answers
Share of mentions
23.3%
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
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

Sumsub came up on 3 of 15 questions. Open any window to read that answer.

  1. 01What are some alternative approaches to achieving regulatory compliance besides using traditional verification software?0/4
  2. 02What are common use cases for identity and business verification in fintech applications?0/4
  3. 03How can transaction monitoring be integrated with identity verification for enhanced fraud prevention?0/4
  4. 04What pricing models are typical for identity verification software in the US?0/4
  5. 05Is investing in AI-powered identity verification platforms worth it for medium-sized companies?1/4
  6. 06Is there a significant cost difference between transaction verification and user verification services?0/4
  7. 07Which compliance software offers the highest pass rates for user verification?3/4
  8. 08What are the best identity verification solutions for small businesses looking to streamline compliance?3/4
  9. 09Do comprehensive compliance software solutions justify their higher costs for enterprise-level organizations?0/4
  10. 10Why might automated compliance workflows reject legitimate users and how can this be fixed?0/4
  11. 11What options exist for businesses seeking to automate compliance without a dedicated verification platform?0/4
  12. 12How does document-based identity verification compare to biometric verification for preventing fraud?0/4
  13. 13Business verification vs user verification—what are the main differences in compliance solutions?0/4
  14. 14Are there any user verification alternatives that do not require uploading government IDs?0/4
  15. 15What should I do if users consistently fail identity verification checks on my platform?0/4
Total namedOpenAI: 1/15Claude: 1/15Perplexity: 3/15Gemini: 2/15All assistants: 7/60
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 compliance software offers the highest pass rates for user verification?”

Sumsub appears to offer the strongest broadly documented user-verification pass rates: about 91.64% in the US, 95.86% in the UK, and 97.89% in Hong Kong. Its reported global average is approximately 90%.

For a UK-only use case, SmartSearch claims an even higher pass rate—up to 97% for its UK Individual Check—but that figure is vendor-reported and not directly comparable with Sumsub’s country-level statistics.

Veriff is another strong option, reporting that 95% of users complete verification on their first attempt, though this measures first-attempt …

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
    Onfido
    8
  2. 02
    Persona
    5
  3. 03
    Jumio
    4
  4. 04
    Trulioo
    4

Share of mentions

CompanyShare
  1. Onfido
    26.7%
  2. Sumsub
    23.3%
  3. Jumio
    16.7%
  4. Trulioo
    16.7%
  5. Persona
    13.3%
  6. ID.me
    3.3%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    didit.me
    12
  2. 02
    nhimg.org
    7
  3. 03
    sumsub.com (its own website)
    6
  4. 04
    signzy.com
    6
  5. 05
    gbg.com
    5
  6. 06
    arxiv.org
    4
  7. 07
    sourceforge.net
    4
  8. 08
    regulaforensics.com
    4
  9. 09
    guideflow.com
    4
  10. 10
    idenfy.com
    4

Sumsub 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
3/15
Gemini
2/15
Claude
1/15
OpenAI
1/15
Market comparisonSection 06

How Sumsub 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
15

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
92

How positively AI describes the company

Site quality
80

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
40
Ranks 73 of 574. Typical company: 29
Named in answers
11.7%
Ranks 100 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
40
Ranks 25 of 171. Typical company: 30
Named in answers
11.7%
Ranks 21 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. Sumsub 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
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 47 of 100 · 97% of checks could run · checked on October 9, 2026 · sumsub.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%
  • 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

  • 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 40 of 100 badge for Sumsub

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/sumsub.com"><img src="https://aeo-audit.rezolve.com/finance/badges/sumsub.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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