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 and 10, 2026
when the AI assistants were asked
Account no.
873 of 2,219
its rank by overall score
Place in its category
14th of 22 crypto exchanges
Closing balance

Named in

3of 60 answers

by 2 of 4 assistants

Statement note

What this means for TripleA

AI assistants name this crypto exchange in 5% of answers, more often than the typical company in its sector at 1.7%. Its overall score is 30 out of 100, ranking 873rd of 2,219 companies. The website passes 6 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned TripleA by name. AI assistants named it in 3 of the 60 answers. Counting only how often it is named, it ranks 40th of 102 in its sector. The typical crypto and digital asset company is named in 1.7% of answers.

Overall score
30Overall score
  • Visibility7
  • Citations2
  • Sentiment50
  • Site quality80
  • AI readiness43
Summary of account
Named by AI in
5.0%
3 of 60 answers
Share of mentions
12.0%
of the mentions of it and its 5 peers
AI readiness
6/14
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

TripleA came up on 2 of 15 questions. Open any window to read that answer.

  1. 01How can a US-based company use stablecoins for paying international suppliers?0/4
  2. 02Alternatives to stablecoin infrastructure for managing cross-border business payments0/4
  3. 03Is it worth integrating stablecoin payment rails into my business for cross-border transactions?0/4
  4. 04What should enterprises consider before adopting stablecoin-based payment solutions?0/4
  5. 05What are the main benefits of using stablecoin payment infrastructure for global businesses?0/4
  6. 06What is the typical cost structure for stablecoin merchant accounts?0/4
  7. 07Which stablecoins are commonly supported by business-focused payment platforms?0/4
  8. 08How do stablecoin payouts compare to on-chain crypto payouts for business payouts?0/4
  9. 09What are some options for international payouts if my business does not want to use stablecoins?0/4
  10. 10Stablecoin payment gateways vs traditional fiat payment processors for enterprises1/4
  11. 11Why are my stablecoin merchant payments delayed during settlement?0/4
  12. 12Best options for processing international B2B payments in stablecoins2/4
  13. 13Common issues businesses face when reconciling stablecoin payment transactions0/4
  14. 14How do fees for stablecoin payment infrastructure compare to ACH and wire transfer fees?0/4
  15. 15Examples of industries that benefit most from stablecoin payouts and settlements0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 1/15Gemini: 2/15All assistants: 3/60
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

“Best options for processing international B2B payments in stablecoins”

For most US businesses, the strongest shortlist is BVNK, Stripe stablecoin payments, Coinbase Business, Conduit, and Triple-A. Choose based on whether you need simple collection, supplier payouts, automated fiat conversion, or high-volume treasury infrastructure.

Provider · Best for · Key strengths · Watch-outs

Stripe stablecoin payments · Online B2B merchants and SaaS · Checkout/API integration, stablecoin acceptance, and bank settlement; Solana settlement can be very fast · Primarily suited to Stripe-supported markets and merchant flows

Coinbase B …

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
    BitPay
    6

Share of mentions

CompanyShare
  1. Circle Payments
    32.0%
  2. BitPay
    28.0%
  3. Fireblocks Payments Engine
    28.0%
  4. TripleA
    12.0%
  5. Wyre
    0.0%
  6. Stably
    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
    44
  2. 02
    eco.com
    30
  3. 03
    spark.money
    16
  4. 04
    bvnk.com
    14
  5. 05
    circle.com
    10
  6. 06
    cobo.com
    9
  7. 07
    fireblocks.com
    8
  8. 08
    polygon.technology
    8
  9. 09
    triple-a.io (its own website)
    7
  10. 10
    reap.global
    6

TripleA is in the study as a crypto exchange.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How TripleA 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
7

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
50

How positively AI describes the company

Site quality
80

How well built the website's own pages are

AI readiness
43

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
5.0%
Ranks 40 of 102. Typical company: 1.7%
AI readiness
43
Ranks 8 of 102. Typical company: 33
Against its categorySection 08

Compared with crypto exchanges

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

Overall score
30
Ranks 14 of 22. Typical company: 35
Named in answers
5.0%
Ranks 11 of 22. Typical company: 5.0%
AI readiness
43
Ranks 2 of 22. 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. TripleA 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 · www.triple-a.io · 2,200 companies scanned

See how every company did, and how this was measured.

AI readinessSection 10

The checks behind the AI readiness score

6 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

  • 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 4 AI crawlers by name. All others follow its general rules.

Training AI

  • GPTBot*allowed
  • ClaudeBot*allowed
  • Anthropic-AIallowed
  • Google-Extended*allowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed

AI search

  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBot*allowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed

Answering questions

  • ChatGPT-Userallowed
  • Claude-Userallowed
  • Perplexity-Userallowed
  • DuckAssistBotallowed
  • MistralAI-Userallowed

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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