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

Named in

4of 60 answers

by 2 of 4 assistants

Statement note

What this means for Ultraly

AI assistants name this fraud and identity company in 6.7% of answers, which is more often than the typical company in its sector at 1.7%. Its overall score is 39 out of 100, ranking 340th of 2,219 in the study. The company's website passes 3 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Ultraly by name. AI assistants named it in 4 of the 60 answers. Counting only how often it is named, it ranks 155th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
39Overall score
  • Visibility10
  • Citations0
  • Sentiment100
  • Site quality80
  • AI readiness36
Summary of account
Named by AI in
6.7%
4 of 60 answers
Share of mentions
18.2%
of the mentions of it and its 5 peers
AI readiness
3/14
technical checks passed. Typical for its sector: 4
Rank in its sector
94 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

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

  1. 01How can ongoing AML monitoring help reduce fraud risk for FINTRAC-regulated lenders?0/4
  2. 02What are non-software solutions for simplifying FINTRAC risk assessment and compliance tasks?0/4
  3. 03Which platforms provide the most comprehensive sanctions, PEP, and adverse media screening for FINTRAC requirements?1/4
  4. 04Why is my automated KYC onboarding process not catching fake IDs in FINTRAC compliance checks?0/4
  5. 05Examples of using face recognition in remote ID verification for financial compliance onboarding0/4
  6. 06Alternatives to cloud-based AML monitoring software for FINTRAC-regulated organizations0/4
  7. 07Are there affordable options for small businesses seeking automated FINTRAC reporting solutions?1/4
  8. 08What are the top automated platforms for FINTRAC KYC onboarding and AML compliance?2/4
  9. 09How do rule-based risk assessment tools compare to AI-driven risk assessment in FINTRAC compliance platforms?0/4
  10. 10Common issues when submitting large virtual currency transaction reports through automated compliance platforms0/4
  11. 11What features should I look for in a KYC and AML solution that supports FINTRAC reporting?0/4
  12. 12AML monitoring software vs manual compliance processes for FINTRAC-regulated firms0/4
  13. 13Best ways to automate FINTRAC regulatory reporting for small financial businesses0/4
  14. 14Is it worth investing in an end-to-end FINTRAC compliance automation platform for a small business?0/4
  15. 15What is the typical cost range for AML and KYC automation tools for FINTRAC compliance?0/4
Total namedOpenAI: 0/15Claude: 2/15Perplexity: 0/15Gemini: 2/15All assistants: 4/60
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 Claude actually said

An answer that names the company

Claudenamed the company

“What are the top automated platforms for FINTRAC KYC onboarding and AML compliance?”

I'll search for current information about the top automated platforms for FINTRAC KYC onboarding and AML compliance.Based on the latest information, here are the top automated platforms for FINTRAC KYC onboarding and AML compliance:

FINTRAC-Specific Platforms

Ultraly automates KYC onboarding, AML screening, risk assessment, and reporting for FINTRAC regulated businesses, offering features including ID verification, face recognition, liveness checks, sanctions screening, PEP watchlists, adverse media checking, and rule-based risk assessment.

Fintracker automates 80% of FINTRAC forms …

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
    ComplyAdvantage
    8
  2. 02
    Sumsub
    3
  3. 03
    Alessa
    2
  4. 04
    Trulioo
    2

Share of mentions

CompanyShare
  1. ComplyAdvantage
    31.8%
  2. Sumsub
    22.7%
  3. Ultraly
    18.2%
  4. Alessa
    13.6%
  5. Trulioo
    13.6%
  6. Outseer
    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
    fintrac-canafe.canada.ca
    38
  2. 02
    complyplus.ca
    15
  3. 03
    fintrac.app
    12
  4. 04
    seon.io
    9
  5. 05
    complyfactor.com
    9
  6. 06
    alessa.com
    8
  7. 07
    signzy.com
    5
  8. 08
    binderr.com
    5
  9. 09
    shuftipro.com
    5
  10. 10
    verafin.com
    4

Ultraly 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

Claude
2/15
Gemini
2/15
OpenAI
0/15
Perplexity
0/15
Market comparisonSection 06

How Ultraly 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
0

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

Sentiment
100

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
39
Ranks 94 of 574. Typical company: 29
Named in answers
6.7%
Ranks 155 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
39
Ranks 33 of 171. Typical company: 30
Named in answers
6.7%
Ranks 43 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. Ultraly 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.txtNot present
  • WebMCPCould not check
Show every check, for your technical team
Discoverability
72 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 86.1%
  • SitemapPartly met

    Serve an XML sitemap and reference it 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
0 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 6.2%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

    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 24 of 100 · 97% of checks could run · checked on October 9, 2026 · www.ultraly.ai · 2,200 companies scanned

See how every company did, and how this was measured.

AI readinessSection 10

The checks behind the AI readiness score

3 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%
  • Not metllms.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 39 of 100 badge for Ultraly

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