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, 2026
when the AI assistants were asked
Account no.
567 of 2,219
its rank by overall score
Closing balance

Named in

5of 60 answers

by 4 of 4 assistants

Statement note

What this means for Circle

AI assistants name Circle in 8.3% of answers, more often than the typical company in its sector, which is named in 1.7% of answers. Circle has an overall score of 36 out of 100, ranking 567th of 2,219 overall and 32nd of 102 in its sector. Its website passes 5 out of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Circle by name. AI assistants named it in 5 of the 60 answers. Counting only how often it is named, it ranks 31st of 102 in its sector. The typical crypto and digital asset company is named in 1.7% of answers.

Overall score
36Overall score
  • Visibility18
  • Citations2
  • Sentiment67
  • Site quality80
  • AI readiness36
Summary of account
Named by AI in
8.3%
5 of 60 answers
Share of mentions
45.5%
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
32 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

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

  1. 01Best use cases for AI-driven onchain platforms in programmable payments and value transfer0/4
  2. 02Full-stack onchain finance platforms vs modular infrastructure for fintech apps1/4
  3. 03Top US-based solutions for building AI-powered digital payment applications0/4
  4. 04Alternatives to full-stack AI-powered platforms for digital payment infrastructure1/4
  5. 05Is it worth using an AI-native onchain payment infrastructure for scaling a US fintech startup?0/4
  6. 06What are the best AI-enabled onchain financial infrastructure platforms for developers?2/4
  7. 07Are there cost differences between full-stack and modular onchain payments infrastructure solutions?0/4
  8. 08How can developers leverage onchain infrastructure for agentic economy applications?0/4
  9. 09What are some different approaches to providing onchain financial services with AI tools?0/4
  10. 10How to resolve transaction speed issues on AI-powered payment infrastructure?0/4
  11. 11Do AI-enabled financial platforms provide better compliance tools for digital payments?0/4
  12. 12Common challenges when integrating onchain financial APIs into payment applications0/4
  13. 13How do AI-driven onchain payment platforms compare to traditional financial infrastructure?0/4
  14. 14Typical pricing models for AI-enabled onchain finance development platforms in the US0/4
  15. 15Top alternatives to agentic economy tech stacks for building financial apps1/4
Total namedOpenAI: 1/15Claude: 1/15Perplexity: 1/15Gemini: 2/15All 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 Claude actually said

An answer that names the company

Claudenamed the company

“What are the best AI-enabled onchain financial infrastructure platforms for developers?”

I'll search for information about the best AI-enabled onchain financial infrastructure platforms for developers.Based on current research, here are the best AI-enabled onchain financial infrastructure platforms for developers:

Full-Stack Financial Infrastructure

Circle provides a full-stack platform with tools for developers to ship AI-powered applications and financial primitives for agents to hold value, discover services, and transact programmatically. Their services include CCTP, Gateway, Nanopayments, Agent Marketplace, and Arc to move value crosschain and settle at internet scal …

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
    Alchemy
    4
  2. 02
    Fireblocks
    2

Share of mentions

CompanyShare
  1. Circle
    45.5%
  2. Alchemy
    36.4%
  3. Fireblocks
    18.2%
  4. Stellar (Stellar Development Foundation)
    0.0%
  5. Aptos Labs
    0.0%
  6. ConsenSys
    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
    chain.link
    17
  2. 02
    medium.com
    11
  3. 03
    stripe.com
    11
  4. 04
    arxiv.org
    8
  5. 05
    alchemy.com
    8
  6. 06
    circle.com (its own website)
    7
  7. 07
    linkedin.com
    7
  8. 08
    nevermined.ai
    7
  9. 09
    tipalti.com
    5
  10. 10
    blockchain-council.org
    5

Circle 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
2/15
Perplexity
1/15
Claude
1/15
OpenAI
1/15
Market comparisonSection 06

How Circle 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
18

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

Citations
2

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

Sentiment
67

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 crypto and digital asset companies

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

Overall score
36
Ranks 32 of 102. Typical company: 30
Named in answers
8.3%
Ranks 31 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
36
Ranks 24 of 80. Typical company: 29
Named in answers
8.3%
Ranks 23 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 2: Bot-aware. Explicit AI bot rules and declared Content Signals.

To reach level 3:
  • Markdown negotiation
Can an AI agent check out here?

Not by itself. Circle 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
50 of 100
  • Markdown negotiationNot met

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

    study: 6.2%
  • llms.txtPassed

    An llms.txt that tells language models what the site offers.

    study: 31.0%
Bot access control
68 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 92.7%
  • Content SignalsPassed

    Content-Signal lines in robots.txt declaring search, AI input and AI training preferences.

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

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%
  • PassedHTTP 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

  • 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 36 of 100 badge for Circle

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/circle.com"><img src="https://aeo-audit.rezolve.com/finance/badges/circle.com.svg" alt="Overall score 36 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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