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
PL

PostQuant Labs

postquant.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.
2,213 of 2,219
its rank by overall score
Place in its category
171st of 171 fraud and identity companies
Closing balance

Named in

0of 60, its tower is dark

by 0 of 4 assistants

Statement note

What this means for PostQuant Labs

AI assistants do not name this fraud and identity company in any of their 60 answers. Its overall score is 15 out of 100, ranking 2,213th of 2,219. How ready the website is for AI tools could not be measured: the website turned away the study's automated check.

We asked 15 unbranded questions about its market, so no question mentioned PostQuant Labs by name. AI assistants named it in none of the 60 answers. Counting only how often it is named, it ranks 334th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its peers.

Overall score
15Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality33
  • AI readiness0
Summary of account
Named by AI in
0.0%
0 of 60 answers
Share of mentions
0.0%
of the mentions of it and its 5 peers
AI readiness
n/a
the website turned our check away
Rank in its sector
573 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

PostQuant Labs came up on 0 of 15 questions. Open any window to read that answer.

  1. 01Are post-quantum cryptography protocols ready for deployment in commercial networks?0/4
  2. 02How to identify performance bottlenecks when running quantum algorithms on classical hardware?0/4
  3. 03What are the leading approaches to implementing post-quantum cryptography in enterprise environments?0/4
  4. 04Alternatives to quantum key distribution for securing sensitive data0/4
  5. 05What are some non-quantum methods for future-proofing encryption strategies?0/4
  6. 06Are there affordable quantum cryptography tools available for small businesses?0/4
  7. 07Best quantum computing platforms for research institutions focused on cybersecurity applications0/4
  8. 08Are there open-source solutions for post-quantum cryptography implementation?0/4
  9. 09Quantum key distribution vs traditional encryption methods for data security0/4
  10. 10How can financial institutions benefit from quantum-safe data protection?0/4
  11. 11Common challenges in integrating quantum-safe encryption with legacy enterprise systems0/4
  12. 12Is investing in quantum-resistant security solutions necessary for midsize businesses?0/4
  13. 13Differences between lattice-based and code-based post-quantum cryptography algorithms0/4
  14. 14How much do commercial quantum computing solutions typically cost for enterprise clients?0/4
  15. 15Best practices for deploying quantum computing resources in academic research labs0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 0/15All assistants: 0/60
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

The company is not named in this answer

Claudedid not name the company

“Are there affordable quantum cryptography tools available for small businesses?”

I'll search for information about affordable quantum cryptography tools for small businesses.The situation regarding affordable quantum cryptography for small businesses is nuanced:

Current Challenges:

Quantum cryptography requires specialized hardware, trusted nodes, high-grade optical components, and the need for dedicated fibre routes and secure environments, making deployment costly for many organizations and limiting adoption to well-funded institutions. The high cost of the devices required to transmit and receive a quantum cryptogram has been an obstacle to the popularization of qu …

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.

Named instead

CompanyTimes named
  1. 01
    PQShield
    2

Share of mentions

CompanyShare
  1. PQShield
    66.7%
  2. QuSecure
    33.3%
  3. PostQuant Labs
    0.0%
  4. ISARA
    0.0%
  5. Quantum Xchange
    0.0%
  6. SandboxAQ
    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
    arxiv.org
    45
  2. 02
    fortinet.com
    16
  3. 03
    paloaltonetworks.com
    5
  4. 04
    ibm.com
    5
  5. 05
    ar5iv.labs.arxiv.org
    5
  6. 06
    quantum.cloud.ibm.com
    5
  7. 07
    github.com
    5
  8. 08
    cisco.com
    4
  9. 09
    nccoe.nist.gov
    4
  10. 10
    postquantum.com
    4

PostQuant Labs 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
0/15
Gemini
0/15
OpenAI
0/15
Perplexity
0/15
Market comparisonSection 06

How PostQuant Labs 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
0

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
50

How positively AI describes the company

Site quality
33

How well built the website's own pages are

AI readiness
0

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
15
Ranks 573 of 574. Typical company: 29
Named in answers
0.0%
Ranks 334 of 574. Typical company: 1.7%
AI readiness
0
Ranks 568 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
15
Ranks 171 of 171. Typical company: 30
Named in answers
0.0%
Ranks 103 of 171. Typical company: 1.7%
AI readiness
0
Ranks 170 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. PostQuant Labs 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
25 of 100
  • Markdown negotiationNot met

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

    study: 6.2%
  • llms.txtPartly 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 discoveryCould not check

    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 32 of 100 · 94% of checks could run · checked on October 9, 2026 · postquant.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

AI readiness could not be measured. The website turned away our automated check, so none of the 14 checks could run. That reflects the website’s rules for automated visitors, not what the website contains.

Take it with you

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End of statement
All 2,219 companiesHow we measured this
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