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.
875 of 2,219
its rank by overall score
Closing balance

Named in

2of 60 answers

by 1 of 4 assistants

Statement note

What this means for Crypto Coin Show

AI assistants rarely name this research or media company, mentioning it in 2 of 60 answers. Competitors such as The Block and CoinDesk are also named in those responses. Its overall score is 30 out of 100, ranking 875th of 2,219 companies in the study. Its website passes 6 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Crypto Coin Show by name. AI assistants named it in 2 of the 60 answers. Counting only how often it is named, it ranks 96th of 346 in its sector. The typical advisory or services firm is named in 0.0% 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
30Overall score
  • Visibility3
  • Citations1
  • Sentiment50
  • Site quality87
  • AI readiness43
Summary of account
Named by AI in
3.3%
2 of 60 answers
Share of mentions
3.0%
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
117 of 346
by overall score, where the typical advisory or services firm scores 27

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Line itemsSection 01

Every question, and where the company came up

Crypto Coin Show came up on 2 of 15 questions. Open any window to read that answer.

  1. 01How can I confirm the credibility of blockchain interviews published on institutional-focused platforms0/4
  2. 02Are there free trial options for institutional-focused crypto news platforms0/4
  3. 03Do institutional news platforms offer enough value compared to free crypto news options0/4
  4. 04Where can advanced investors find blockchain interview content for market research1/4
  5. 05Best institutional crypto news sources for in-depth market analysis0/4
  6. 06Typical subscription costs for institutional crypto news and live data access in the United States0/4
  7. 07Why might live market data on a crypto news platform be delayed or inaccurate0/4
  8. 08Live crypto market data aggregators vs. expert analyst newsletters0/4
  9. 09Institutional crypto news platforms vs. retail-focused crypto news sites0/4
  10. 10What are some options for in-depth blockchain interview content besides news sites1/4
  11. 11How can institutional investors use blockchain interview content for due diligence0/4
  12. 12Is subscribing to an institutional crypto analysis platform worth it for professional portfolio managers0/4
  13. 13Alternatives to live crypto market data feeds for professional investors0/4
  14. 14Best ways for finance professionals to leverage real-time crypto news for portfolio rebalancing0/4
  15. 15Where can institutions access unbiased crypto analysis outside mainstream crypto news platforms0/4
Total namedOpenAI: 0/15Claude: 2/15Perplexity: 0/15Gemini: 0/15All assistants: 2/60
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

“Where can advanced investors find blockchain interview content for market research”

… Crypto Coin Show - The Crypto Coin Show is a long-form video interview series on blockchain, digital assets and the companies building them, hosted by Ashton Addison since 2014. In-depth conversations with the founders, investors, and builders shaping Bitcoin, Ethereum, DeFi, and Web3 are hosted by Ashton Addison, with new interviews every week. Content is syndicated on Reuters/Refinitiv TV.

JPMorgan's Research & Insights - JPMorgan's research explores rapid advancements in blockchain technology and discusses what institutional investors should be thinking about as market structure …

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
    The Block
    15
  2. 02
    CoinDesk
    14
  3. 03
    Cointelegraph
    7

Share of mentions

CompanyShare
  1. CoinDesk
    38.8%
  2. The Block
    31.3%
  3. Cointelegraph
    17.9%
  4. Bitcoin Magazine
    6.0%
  5. Crypto Coin Show
    3.0%
  6. CryptoSlate
    3.0%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    sites.google.com
    10
  2. 02
    financefeeds.com
    9
  3. 03
    paybis.com
    8
  4. 04
    coinbureau.com
    7
  5. 05
    crypticweb3.com
    6
  6. 06
    bitget.com
    5
  7. 07
    coingecko.com
    5
  8. 08
    coinposters.com
    4
  9. 09
    techbullion.com
    4
  10. 10
    tokenmetrics.com
    4

Crypto Coin Show is in the study as a research or media company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Crypto Coin Show 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
3

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
87

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 advisory and services firms

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

Overall score
30
Ranks 117 of 346. Typical company: 27
Named in answers
3.3%
Ranks 96 of 346. Typical company: 0.0%
AI readiness
43
Ranks 13 of 346. Typical company: 29
Against its categorySection 08

Compared with research and media companies

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

Overall score
30
Ranks 38 of 73. Typical company: 31
Named in answers
3.3%
Ranks 35 of 73. Typical company: 3.3%
AI readiness
43
Ranks 3 of 73. 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. Crypto Coin Show 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
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 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 36 of 100 · 97% of checks could run · checked on October 9, 2026 · cryptocoinshow.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

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

  • PassedMarkdown 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

  • GPTBotallowed
  • ClaudeBotallowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed

AI search

  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBotallowed
  • 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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