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

Thredd

thredd.ai

Payment processors, acquirers and point of saleCards and payments

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
773 of 2,219
its rank by overall score
Place in its category
55th of 203 payment processors
Closing balance

Named in

5of 60 answers

by 3 of 4 assistants

Statement note

What this means for Thredd

AI assistants name Thredd in 8.3% of answers, which is more often than the typical company in its sector. Thredd has an overall score of 32 out of 100, ranking 773rd of 2,219. Its website passes 1 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Thredd by name. AI assistants named it in 5 of the 60 answers. Counting only how often it is named, it ranks 80th of 375 in its sector. The typical cards and payments company is named in 0.0% of answers.

Overall score
32Overall score
  • Visibility9
  • Citations0
  • Sentiment80
  • Site quality80
  • AI readiness7
Summary of account
Named by AI in
8.3%
5 of 60 answers
Share of mentions
11.6%
of the mentions of it and its 5 peers
AI readiness
1/14
technical checks passed. Typical for its sector: 4
Rank in its sector
113 of 375
by overall score, where the typical cards and payments company scores 27

Get the full report on Thredd 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

Thredd came up on 4 of 15 questions. Open any window to read that answer.

  1. 01Is it worth investing in an AI-driven issuer processing solution for payment cards?1/4
  2. 02Prepaid vs credit card issuing platforms: which is better for fintech startups?0/4
  3. 03What features should a financial institution look for in an issuer processing platform for digital wallets?0/4
  4. 04Common challenges when integrating a new issuer processing platform with digital wallets?0/4
  5. 05What are the best AI-powered issuer processing platforms for modern payment card programs?2/4
  6. 06What are some manual approaches to issuing and managing prepaid cards besides using automated platforms?0/4
  7. 07What are typical pricing models for AI-powered issuer processing platforms in the US?0/4
  8. 08How can AI in issuer processing enhance risk management for payment cards?0/4
  9. 09Are there affordable options for scaling a fintech card program with automated issuer processing?1/4
  10. 10Alternatives to AI-based issuer processing platforms for virtual debit card solutions?1/4
  11. 11Should a business choose an integrated platform for managing credit, debit, and prepaid cards?0/4
  12. 12How can financial institutions launch a scalable virtual debit card program?0/4
  13. 13Why might a payment card program experience delays with card activation?0/4
  14. 14AI-focused issuer processing vs traditional payment card processors—what are the key differences?0/4
  15. 15Best practices for launching a global payment card program using a cloud-based processing platform?0/4
Total namedOpenAI: 1/15Claude: 2/15Perplexity: 2/15Gemini: 0/15All 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

“What are the best AI-powered issuer processing platforms for modern payment card programs?”

The strongest shortlist for modern payment-card programs is Thredd, Marqeta, i2c, Lithic, Adyen Issuing, FIS Total Issuing, Paymentology, and Enfuce. The best choice depends less on generic “AI” claims and more on authorization controls, fraud decisioning, real-time APIs, ledger quality, geographic coverage, and operational transparency.

Recommended platforms

Platform · Best fit · AI and modern-program strengths

Thredd · Global fintechs and payment companies · Cloud-native issuer processing, real-time authorization, programmable controls, and AI-oriented fraud …

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
    Marqeta
    12

Share of mentions

CompanyShare
  1. Marqeta
    27.9%
  2. Galileo Financial Technologies
    23.3%
  3. FIS (PaymentsOne Issuing)
    18.6%
  4. i2c Inc.
    16.3%
  5. Thredd
    11.6%
  6. TSYS (a Global Payments company)
    2.3%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    stripe.com
    13
  2. 02
    dashdevs.com
    13
  3. 03
    fisglobal.com
    10
  4. 04
    sdk.finance
    7
  5. 05
    sourceforge.net
    6
  6. 06
    marqeta.com
    5
  7. 07
    enfuce.com
    5
  8. 08
    mastercard.com
    5
  9. 09
    gitnux.org
    5
  10. 10
    worldmetrics.org
    5

Thredd is in the study as a payment processor.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Claude
2/15
Perplexity
2/15
OpenAI
1/15
Gemini
0/15
Market comparisonSection 06

How Thredd 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
9

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
80

How positively AI describes the company

Site quality
80

How well built the website's own pages are

AI readiness
7

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 cards and payments companies

375 companies in this sector. The gold tick on each bar is the typical company.

Overall score
32
Ranks 113 of 375. Typical company: 27
Named in answers
8.3%
Ranks 80 of 375. Typical company: 0.0%
AI readiness
7
Ranks 333 of 375. Typical company: 29
Against its categorySection 08

Compared with payment processors

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

Overall score
32
Ranks 54 of 203. Typical company: 27
Named in answers
8.3%
Ranks 30 of 203. Typical company: 0.0%
AI readiness
7
Ranks 174 of 203. 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

The website turns away requests that do not come from a browser. AI agents that say what they are meet the same refusal.

Can an AI agent check out here?

Not by itself. Thredd 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
10 of 100
  • API CatalogNot met

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

    study: 1.3%
  • OAuth discoveryPassed

    OpenID Connect or OAuth metadata agents can use to sign in.

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

1 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

  • Not metrobots.txt publishedstudy: 85.1%
  • Not metXML 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%
Take it with you

Get the full report on Thredd 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 11

Share this result

Overall score 32 of 100 badge for Thredd

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/thredd.ai"><img src="https://aeo-audit.rezolve.com/finance/badges/thredd.ai.svg" alt="Overall score 32 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