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 to 14, 2026
when the AI assistants were asked
Account no.
1,408 of 2,219
its rank by overall score
Place in its category
18th of 22 crypto exchanges
Closing balance

Named in

0of 60, its tower is dark

by 0 of 4 assistants

Statement note

What this means for Secure Digital Markets

AI assistants do not name this crypto exchange in any of their 60 answers. Its overall score is 27 out of 100, ranking 1,408th of 2,219 companies studied. The website passes 5 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Secure Digital Markets by name. AI assistants named it in none of the 60 answers. Counting only how often it is named, it ranks 67th of 102 in its sector. The typical crypto and digital asset company is named in 1.7% of answers.

Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its peers.

Overall score
27Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality80
  • AI readiness36
Summary of account
Named by AI in
0.0%
0 of 60 answers
Share of mentions
0.0%
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
66 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

Secure Digital Markets came up on 0 of 15 questions. Open any window to read that answer.

  1. 01How do institutional trading desks access deep spot and derivatives liquidity for digital assets?0/4
  2. 02What use-cases require access to discreet, deep liquidity in digital asset markets?0/4
  3. 03Where can US institutions find 24/7 digital asset trading solutions with high liquidity?0/4
  4. 04Is institutional-grade digital asset liquidity worth it for professional traders?0/4
  5. 05How do institutional spreads for digital asset FX compare to retail rates?0/4
  6. 06How can institutional investors use derivatives to hedge digital asset exposure?0/4
  7. 07What are the best digital asset liquidity providers for institutional trading in the US?0/4
  8. 08What are common settlement issues faced by institutional digital asset traders and how can they be avoided?0/4
  9. 09What fees should institutions expect when trading large amounts of digital assets through OTC desks?0/4
  10. 10What alternatives exist to traditional exchanges for accessing institutional digital asset liquidity?0/4
  11. 11Are off-exchange digital asset trades more secure for institutions than on-exchange solutions?0/4
  12. 12Institutional OTC desk vs. exchange liquidity: which is better for large digital asset trades?0/4
  13. 13Best alternative approaches for lending against digital asset holdings in the US?0/4
  14. 14How to handle delayed settlements when trading large digital asset blocks?0/4
  15. 15How do cross-desk trading solutions for digital assets compare to using multiple single-asset providers?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 0/15All assistants: 0/60
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

The company is not named in this answer

Claudedid not name the company

“How do institutional trading desks access deep spot and derivatives liquidity for digital assets?”

I'll search for current information about how institutional trading desks access liquidity for digital assets.Based on current market infrastructure, institutional trading desks access deep spot and derivatives liquidity for digital assets through several key channels:

Primary Access Methods

1. Order and Execution Management Systems (OEMS)

Institutions use specialized platforms that combine liquidity aggregation, smart order routing, and execution algorithm suites to trade digital assets—including options and prediction markets—the way they already trade traditional asset classes. Th …

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.

Named instead

CompanyTimes named
  1. 01
    FalconX
    6
  2. 02
    GSR
    3

Share of mentions

CompanyShare
  1. FalconX
    38.9%
  2. Cumberland DRW
    38.9%
  3. GSR
    22.2%
  4. Secure Digital Markets
    0.0%
  5. Genesis Trading
    0.0%
  6. XBTO
    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
    bitgo.com
    13
  2. 02
    talos.com
    10
  3. 03
    fuze.finance
    7
  4. 04
    cmegroup.com
    7
  5. 05
    ey.com
    6
  6. 06
    help.coinbase.com
    6
  7. 07
    anchorage.com
    5
  8. 08
    b2broker.com
    4
  9. 09
    pallapay.com
    4
  10. 10
    beincrypto.com
    4

Secure Digital Markets is in the study as a crypto exchange.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Secure Digital Markets 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
0

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
50

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
27
Ranks 66 of 102. Typical company: 30
Named in answers
0.0%
Ranks 67 of 102. Typical company: 1.7%
AI readiness
36
Ranks 21 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
27
Ranks 16 of 22. Typical company: 35
Named in answers
0.0%
Ranks 17 of 22. Typical company: 5.0%
AI readiness
36
Ranks 6 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. Secure Digital Markets 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
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 43 of 100 · 97% of checks could run · checked on October 9, 2026 · www.sdm.co · 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 7 AI crawlers by name. All others follow its general rules.

Training AI

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

AI search

  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBot*partly
  • Applebotpartly
  • Amazonbot*partly
  • 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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