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
P

Polygon

polygon.technology

Stablecoins and digital asset infrastructureCrypto and digital assets

Money20/20 attendee

Statement period
October 9, 2026
when the AI assistants were asked
Account no.
856 of 2,219
its rank by overall score
Place in its category
36th of 80 digital asset infrastructure companies
Closing balance

Named in

6of 60 answers

by 3 of 4 assistants

Statement note

What this means for Polygon

AI assistants name this digital asset infrastructure company in 10% of answers, which is higher than the typical company in its sector at 1.7%. Its overall score is 30 out of 100, ranking 856th of 2,219 companies. Its website passes 5 out of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Polygon by name. AI assistants named it in 6 of the 60 answers. Counting only how often it is named, it ranks 25th of 102 in its sector. The typical crypto and digital asset company is named in 1.7% of answers.

Overall score
30Overall score
  • Visibility14
  • Citations1
  • Sentiment50
  • Site quality73
  • AI readiness36
Summary of account
Named by AI in
10.0%
6 of 60 answers
Share of mentions
23.1%
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
49 of 102
by overall score, where the typical crypto and digital asset company scores 30

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Line itemsSection 01

Every question, and where the company came up

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

  1. 01Alternatives to all-in-one programmable stablecoin stacks for digital money infrastructure1/4
  2. 02What features should U.S. businesses look for in an instant stablecoin payment platform?1/4
  3. 03Estimated transaction costs for processing stablecoin payments via programmable APIs1/4
  4. 04What are the best programmable stablecoin payment platforms for U.S. fintech developers?1/4
  5. 05What are the non-API options for enabling programmable digital payments in financial products?0/4
  6. 06Typical pricing models for programmable payment platform APIs in the U.S. market0/4
  7. 07Top use cases for integrating programmable money APIs into financial apps0/4
  8. 08Best practices for adding stablecoin payins to existing fintech infrastructure0/4
  9. 09What can cause delays in instant programmable stablecoin transactions and how to fix them?1/4
  10. 10API-based programmable payments platforms vs custom in-house stablecoin infrastructure — which is better for scaling?0/4
  11. 11Open-source alternatives to proprietary programmable stablecoin platforms for U.S. fintechs1/4
  12. 12How do programmable stablecoin payment stacks compare to traditional payment rails for businesses?0/4
  13. 13Common issues when integrating programmable stablecoin APIs and how to resolve them0/4
  14. 14How can U.S. businesses use programmable stablecoin accounts for cross-border payments?0/4
  15. 15Is using a programmable stablecoin stack worth it for small to mid-size fintech businesses?0/4
Total namedOpenAI: 2/15Claude: 0/15Perplexity: 1/15Gemini: 3/15All assistants: 6/60
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 OpenAI actually said

An answer that names the company

OpenAInamed the company

“Estimated transaction costs for processing stablecoin payments via programmable APIs”

I can do this — first I want to clarify scope so I give estimates that match your use case.

Quick questions

1. Which stablecoin(s) are you considering (e.g., USDC, USDT, DAI)?

2. Which blockchain(s)/L2s do you plan to use (Ethereum mainnet, Polygon, Optimism, Arbitrum, Solana, Tron, etc.)?

3. Do you want fully on‑chain settlement for each payment, or a custodial/off‑chain model where your provider nets and settles (API provider handles on‑chain)?

4. Typical transaction size and monthly volume (tx/day or $/month)?

5. Do you want example costs from specific API providers (Circle, Coinbase, Fire …

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
    Circle
    20
  2. 02
    Dwolla
    2

Share of mentions

CompanyShare
  1. Circle
    42.3%
  2. Stellar (Stellar Development Foundation)
    26.9%
  3. Polygon
    23.1%
  4. Dwolla
    7.7%
  5. Apto Payments
    0.0%
  6. TabaPay
    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
    stripe.com
    29
  2. 02
    crossmint.com
    27
  3. 03
    eco.com
    22
  4. 04
    stablecoininsider.org
    19
  5. 05
    fireblocks.com
    13
  6. 06
    circle.com
    11
  7. 07
    spark.money
    11
  8. 08
    moderntreasury.com
    7
  9. 09
    openfort.io
    7
  10. 10
    cobo.com
    5

Polygon is in the study as a digital asset infrastructure company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
3/15
OpenAI
2/15
Perplexity
1/15
Claude
0/15
Market comparisonSection 06

How Polygon 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
14

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

Citations
1

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

Sentiment
50

How positively AI describes the company

Site quality
73

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 crypto and digital asset companies

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

Overall score
30
Ranks 49 of 102. Typical company: 30
Named in answers
10.0%
Ranks 25 of 102. Typical company: 1.7%
AI readiness
36
Ranks 21 of 102. Typical company: 33
Against its categorySection 08

Compared with digital asset infrastructure companies

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

Overall score
30
Ranks 36 of 80. Typical company: 29
Named in answers
10.0%
Ranks 18 of 80. Typical company: 1.7%
AI readiness
36
Ranks 16 of 80. 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. Polygon 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
63 of 100
  • AI bot rulesPassed

    Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.

    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 37 of 100 · 97% of checks could run · checked on October 9, 2026 · polygon.technology · 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

  • Not metMarkdown content negotiationstudy: 7.4%
  • Passedllms.txt publishedstudy: 28.1%
  • PassedToken budget (page weight)study: 97.3%

Bot Access Control

  • PassedExplicit 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 rules for 6 AI crawlers by name. All others follow its general rules.

Training AI

  • GPTBot*allowed
  • ClaudeBot*allowed
  • Anthropic-AIpartly
  • Google-Extended*allowed
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBot*allowed
  • Diffbotpartly
  • Omgilibotpartly

AI search

  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBot*allowed
  • Applebotpartly
  • Amazonbot*allowed
  • 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 30 of 100 badge for Polygon

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/polygon.technology"><img src="https://aeo-audit.rezolve.com/finance/badges/polygon.technology.svg" alt="Overall score 30 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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