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.
47 of 2,219
its rank by overall score
Place in its category
1st of 22 crypto exchanges
Closing balance

Named in

25of 60 answers

by 4 of 4 assistants

Statement note

What this means for Binance.US

AI assistants name Binance.US in 41.7% of answers, much more often than the typical company in its sector, which is named in 1.7% of answers. Its overall score is 45 out of 100, ranking 47th of 2,219 companies and 2nd in its sector. The website passes 3 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Binance.US by name. AI assistants named it in 25 of the 60 answers. Counting only how often it is named, it ranks 2nd of 102 in its sector. The typical crypto and digital asset company is named in 1.7% of answers.

Overall score
45Overall score
  • Visibility33
  • Citations1
  • Sentiment90
  • Site quality87
  • AI readiness21
Summary of account
Named by AI in
41.7%
25 of 60 answers
Share of mentions
19.8%
of the mentions of it and its 5 peers
AI readiness
3/14
technical checks passed. Typical for its sector: 4
Rank in its sector
2 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

Binance.US came up on 12 of 15 questions. Open any window to read that answer.

  1. 01U.S. crypto platforms with the lowest trading fees compared to global exchanges?4/4
  2. 02How can I start staking crypto as a new user in the U.S.?3/4
  3. 03Is it worth using a U.S.-based exchange for trading digital assets?1/4
  4. 04Are staking rewards on U.S. exchanges competitive enough for long-term holding?2/4
  5. 05What are alternatives to U.S. centralized exchanges for trading crypto?1/4
  6. 06Why might my crypto withdrawal from a U.S.-regulated exchange be on hold?0/4
  7. 07What options exist for U.S. users seeking non-custodial crypto services?0/4
  8. 08What are the best U.S.-regulated cryptocurrency exchanges for beginners?2/4
  9. 09What is the easiest way for U.S. residents to buy crypto with a bank account?1/4
  10. 10How do trading fees compare across U.S. cryptocurrency platforms?4/4
  11. 11Which peer-to-peer crypto marketplaces are available for Americans?3/4
  12. 12Are there zero-fee options for dollar-cost averaging crypto in the U.S.?2/4
  13. 13What should I do if my ACH deposit to a U.S. crypto platform is delayed?0/4
  14. 14Centralized vs decentralized exchanges for Americans: Which is safer for buying crypto?1/4
  15. 15How can I earn passive income with digital assets on American exchanges?1/4
Total namedOpenAI: 7/15Claude: 4/15Perplexity: 3/15Gemini: 11/15All assistants: 25/60
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

“U.S. crypto platforms with the lowest trading fees compared to global exchanges?”

Short answer

Global exchanges (Binance, OKX, Bybit, MEXC, etc.) typically offer the lowest pure trading fees — spot fees often start around 0.10% maker/taker (and can go much lower with tiering, native-token discounts, or VIP levels). Binance is the clearest example. (binance.com)

Among U.S.-facing platforms, the lowest-fee options (for active traders using their pro/advanced/“Pro” interfaces) are generally: Binance.US (for certain pairs / VIP tiers), Kraken Pro, and Coinbase Advanced — but their base maker/taker rates are usually …

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
    Coinbase
    48
  2. 02
    Kraken
    42
  3. 03
    Gemini
    29
  4. 04
    Crypto.com
    8
  5. 05
    Bitstamp
    1

Share of mentions

CompanyShare
  1. Coinbase
    26.2%
  2. Kraken
    24.6%
  3. Binance.US
    19.8%
  4. Crypto.com
    16.7%
  5. Gemini
    11.9%
  6. Bitstamp
    0.8%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    cryptoslate.com
    18
  2. 02
    kraken.com
    17
  3. 03
    coinledger.io
    16
  4. 04
    coinbureau.com
    16
  5. 05
    bitcoinfoundation.org
    13
  6. 06
    help.coinbase.com
    11
  7. 07
    crypto.com
    7
  8. 08
    money.com
    7
  9. 09
    bitbo.io
    7
  10. 10
    support.kraken.com
    7

Binance.US 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
11/15
OpenAI
7/15
Claude
4/15
Perplexity
3/15
Market comparisonSection 06

How Binance.US 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
33

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
90

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
21

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
45
Ranks 2 of 102. Typical company: 30
Named in answers
41.7%
Ranks 2 of 102. Typical company: 1.7%
AI readiness
21
Ranks 76 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
45
Ranks 1 of 22. Typical company: 35
Named in answers
41.7%
Ranks 2 of 22. Typical company: 5.0%
AI readiness
21
Ranks 17 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?

We could not tell. The website turned away our requests for the files an agent would read. An agent arriving by itself is turned away the same way.

Agent payment protocols
  • x402Not present
  • MPPNot present
  • AP2Not present
  • ACPCould not check
  • UCPCould not check
Interfaces for AI agents
  • MCP Server CardCould not check
  • A2A Agent CardCould not check
  • Agent SkillsCould not check
  • API CatalogCould not check
  • llms.txtNot present
  • 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
0 of 100
  • Markdown negotiationNot met

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

    study: 6.2%
  • llms.txtNot 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 AuthCould not check

    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 CatalogCould not check

    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 ResourceCould not check

    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 CardCould not check

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.8%
  • A2A Agent CardCould not check

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.2%
  • Agent SkillsCould not check

    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 manifestCould not check

    Publish an ai-catalog.json listing every agent interface.

    study: 0.2%

Score 35 of 100 · 68% of checks could run · checked on October 9, 2026 · www.binance.us · 2,200 companies scanned

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

AI readinessSection 10

The checks behind the AI readiness score

3 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%
  • 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%
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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