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

Named in

9of 60 answers

by 3 of 4 assistants

Statement note

What this means for Allium

AI assistants name Allium in 15% of answers, which is much more often than the typical company in its sector at 1.7%. Allium's overall score is 35 out of 100, ranking 616th of 2,219 companies. Its website passes 5 of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Allium by name. AI assistants named it in 9 of the 60 answers. Counting only how often it is named, it ranks 15th of 102 in its sector. The typical crypto and digital asset company is named in 1.7% of answers.

Overall score
35Overall score
  • Visibility19
  • Citations7
  • Sentiment50
  • Site quality80
  • AI readiness36
Summary of account
Named by AI in
15.0%
9 of 60 answers
Share of mentions
28.1%
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
35 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

Allium came up on 5 of 15 questions. Open any window to read that answer.

  1. 01How do you resolve mismatched historical data in blockchain analytics platforms?0/4
  2. 02Is investing in a dedicated blockchain data platform worth it for compliance reporting?0/4
  3. 03What are the best enterprise blockchain data solutions for financial institutions?1/4
  4. 04How can onchain data platforms support stablecoin activity monitoring for enterprises?2/4
  5. 05How do large organizations access audit-grade blockchain analytics platforms?0/4
  6. 06Are there volume-based pricing tiers for onchain data services aimed at institutions?0/4
  7. 07Why might real-time blockchain data feeds show inconsistencies across analytics dashboards?0/4
  8. 08What are good alternatives to platform-based blockchain analytics for institutional adoption?0/4
  9. 09Do enterprise blockchain data services justify their higher cost for accounting teams?0/4
  10. 10How do onchain data APIs compare to open-source blockchain data tools for institutional use?1/4
  11. 11Are there open-source solutions that can replace enterprise blockchain data platforms?0/4
  12. 12What are common use-cases for blockchain data solutions in large banks and financial firms?0/4
  13. 13Which blockchain data providers offer SOC 1 & SOC 2 compliance for US institutions?3/4
  14. 14Enterprise blockchain data platforms vs traditional financial data providers—what are the key differences?0/4
  15. 15How much do audit-grade blockchain data platforms typically cost for large enterprises?2/4
Total namedOpenAI: 0/15Claude: 4/15Perplexity: 1/15Gemini: 4/15All assistants: 9/60
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

“Which blockchain data providers offer SOC 1 & SOC 2 compliance for US institutions?”

Blockchain data providers publicly indicating SOC 1 and SOC 2 coverage for institutional workflows include:

Provider · SOC coverage · Relevant offering

Allium · SOC 1 and SOC 2, Types I and II · Standardized blockchain data delivered to Snowflake, BigQuery, and Databricks; designed for audit, reconciliation, compliance, and operations.

Bitwave · SOC 1 and SOC 2 Type II · Crypto accounting and transaction data with validation, audit trails, ERP integrations, and US GAAP/IFRS support.

Cryptio · SOC 1 and SOC 2, Types I and II · Institutional …

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
    Chainalysis
    16
  2. 02
    Amberdata
    3
  3. 03
    Token Terminal
    2
  4. 04
    Nansen
    1
  5. 05
    Covalent
    1

Share of mentions

CompanyShare
  1. Chainalysis
    40.6%
  2. Allium
    28.1%
  3. Amberdata
    12.5%
  4. Covalent
    6.3%
  5. Nansen
    6.3%
  6. Token Terminal
    6.3%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    allium.so (its own website)
    18
  2. 02
    eco.com
    9
  3. 03
    alchemy.com
    6
  4. 04
    coingecko.com
    6
  5. 05
    blockchain-council.org
    6
  6. 06
    nadcab.com
    5
  7. 07
    assets.ctfassets.net
    4
  8. 08
    chainalysis.com
    4
  9. 09
    us.fitgap.com
    4
  10. 10
    tres.finance
    4

Allium 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

Claude
4/15
Gemini
4/15
Perplexity
1/15
OpenAI
0/15
Market comparisonSection 06

How Allium 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
19

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

Citations
7

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
35
Ranks 35 of 102. Typical company: 30
Named in answers
15.0%
Ranks 15 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
35
Ranks 25 of 80. Typical company: 29
Named in answers
15.0%
Ranks 10 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 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. Allium 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
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 31 of 100 · 97% of checks could run · checked on October 9, 2026 · www.allium.so · 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 35 of 100 badge for Allium

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