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

VZUAL

vzual.com

Banking and fintech infrastructureFinancial technology and data

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
58 of 2,219
its rank by overall score
Place in its category
10th of 315 fintech infrastructure companies
Closing balance

Named in

11of 60 answers

by 4 of 4 assistants

Statement note

What this means for VZUAL

AI assistants name this fintech infrastructure company in 18.3% of answers, much more often than the typical company in its sector at 1.7%. Its overall score is 45 out of 100, ranking 58th of 2,219 companies studied and 20th of 574 in its sector. Its website passes 4 of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned VZUAL 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
45Overall score
  • Visibility37
  • Citations5
  • Sentiment88
  • Site quality73
  • AI readiness29
Summary of account
Named by AI in
18.3%
11 of 60 answers
Share of mentions
91.7%
of the mentions of it and its 4 peers
AI readiness
4/14
technical checks passed. Typical for its sector: 4
Rank in its sector
20 of 574
by overall score, where the typical financial technology and data company scores 29

Get the full report on VZUAL as a PDF

Enter your work email to download it.

We’ll use your email to follow up about this report. Privacy policy

Line itemsSection 01

Every question, and where the company came up

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

  1. 01Is investing in a 3D visualization platform for smart card design worth it for small manufacturers?1/4
  2. 02How can product managers use 3D card visualization tools to accelerate design approvals?0/4
  3. 03What’s the process for showcasing multiple chip types in a single card product visualization?0/4
  4. 04Are there monthly subscription options for 3D card visualization platforms used by professional designers?3/4
  5. 05What are the best browser-based 3D visualization tools for designing plastic cards?4/4
  6. 06Which features should I look for in software for creating realistic smart card mockups?0/4
  7. 07What's the difference between 3D ID card visualization software and generic 3D graphic design tools?0/4
  8. 08How do cloud-based and traditional 3D visualization platforms for product design differ in workflow?0/4
  9. 09What are good alternatives to specialized 3D software for visualizing plastic card products?1/4
  10. 10Do professional card designers need specialized 3D visualization tools, or are general 3D programs enough?1/4
  11. 11What causes material layer inconsistencies in 3D smart card mockups and how can I fix them?0/4
  12. 12How much do browser-based 3D visualization tools for card design typically cost in the US market?1/4
  13. 13How does browser-based 3D card visualization compare to desktop software for card designers?0/4
  14. 14Why are my metallic effects not displaying accurately in my card visualization software?0/4
  15. 15Are there any free or open source tools that can create realistic mockups of ID cards and print products?0/4
Total namedOpenAI: 1/15Claude: 3/15Perplexity: 2/15Gemini: 5/15All 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 Perplexity actually said

An answer that names the company

Perplexitynamed the company

“What are the best browser-based 3D visualization tools for designing plastic cards?”

For designing plastic cards, the best choice is Vzual 3D Studio because it is purpose-built for card manufacturers and supports browser-based 3D visualization of card designs.

Tool · Best for · Strengths · Limitations

Vzual 3D Studio · Card manufacturers and card-product teams · Card-specific workflows, realistic materials and finishes, browser-based sharing, likely suited to embossing, foil, metallic effects, and layered card construction · Specialized platform; may require a subscription or vendor onboarding

Vectary · Fast general-purpose ca …

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.

Share of mentions

CompanyShare
  1. VZUAL
    91.7%
  2. Smart Card Mockup
    8.3%
  3. Boxshot
    0.0%
  4. CardPreviewer (by MangoCard)
    0.0%
  5. Renderforest Mockup Generator
    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
    vzual.com (its own website)
    11
  2. 02
    unity.com
    8
  3. 03
    pacdora.com
    6
  4. 04
    github.com
    6
  5. 05
    autodesk.com
    5
  6. 06
    guideflow.com
    5
  7. 07
    3dimerce.com
    5
  8. 08
    gitnux.org
    5
  9. 09
    foyr.com
    4
  10. 10
    zipdo.co
    4

VZUAL is in the study as a fintech infrastructure company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
5/15
Claude
3/15
Perplexity
2/15
OpenAI
1/15
Market comparisonSection 06

How VZUAL 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
37

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

Citations
5

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

Sentiment
88

How positively AI describes the company

Site quality
73

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
45
Ranks 20 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 fintech infrastructure companies

315 companies in this category. The gold tick on each bar is the typical company.

Overall score
45
Ranks 9 of 315. Typical company: 28
Named in answers
18.3%
Ranks 20 of 315. Typical company: 1.7%
AI readiness
29
Ranks 117 of 315. Typical company: 29
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. VZUAL 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
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
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 25 of 100 · 97% of checks could run · checked on October 9, 2026 · vzual.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%
  • PassedHTTP 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.

Take it with you

Get the full report on VZUAL as a PDF

Every number on this page in a PDF you can keep and share with your team. Enter your work email to download it.

We’ll use your email to follow up about this report. Privacy policy

ShareSection 12

Share this result

Overall score 45 of 100 badge for VZUAL

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/vzual.com"><img src="https://aeo-audit.rezolve.com/finance/badges/vzual.com.svg" alt="Overall score 45 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
End of statement
All 2,219 companiesHow we measured this
Next step

Want AI assistants to name your company?

Book a 30-minute demo to see Rezolve Ai in action and what it can do for your business.

Request a demo