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

Named in

6of 56 answers

by 3 of 4 assistants

Statement note

What this means for ConsenSys Software

AI assistants name ConsenSys Software in 10.7% of answers, much more often than the typical company in its sector, which is named just 1.7% of the time. Its overall score is 33 out of 100, ranking 725th of 2,219 companies. The ConsenSys Software website passes 5 of 14 technical checks for AI tool readiness.

We asked 14 unbranded questions about its market, so no question mentioned ConsenSys Software by name. AI assistants named it in 6 of the 56 answers. Counting only how often it is named, it ranks 24th of 102 in its sector. The typical crypto and digital asset company is named in 1.7% of answers.

Overall score
33Overall score
  • Visibility13
  • Citations1
  • Sentiment50
  • Site quality87
  • AI readiness36
Summary of account
Named by AI in
10.7%
6 of 56 answers
Share of mentions
20.7%
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
39 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

ConsenSys Software came up on 4 of 14 questions. Open any window to read that answer.

  1. 01What are the most reliable blockchain infrastructure providers for financial institutions in the US?1/4
  2. 02What are the main technical considerations for launching tokenized securities on institutional-grade blockchains?0/4
  3. 03What are the top alternatives to managed blockchain services for financial institutions?1/4
  4. 04How to address compliance concerns with blockchain technology in regulated US markets?0/4
  5. 05How are advisory and technical services for digital market infrastructure typically priced?0/4
  6. 06Estimated costs for end-to-end blockchain infrastructure deployment for mid-sized financial firms0/4
  7. 07Best advisory services for banks transitioning to decentralized finance models3/4
  8. 08Are managed blockchain operations necessary for traditional financial market infrastructures?0/4
  9. 09Common integration challenges when deploying blockchain solutions in existing financial systems0/4
  10. 10Non-blockchain digital settlement options for financial market operators0/4
  11. 11Is investing in institutional blockchain infrastructure worth it for regional banks?0/4
  12. 12Examples of decentralized finance platforms used by asset managers in the United States0/4
  13. 13Where can financial institutions find expertise to design and operate decentralized finance systems?1/4
  14. 14How does public blockchain infrastructure compare to private networks for institutional finance?0/4
Total namedOpenAI: 1/14Claude: 0/14Perplexity: 3/14Gemini: 2/14All assistants: 6/56
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 advisory services for banks transitioning to decentralized finance models”

For a bank moving toward decentralized-finance models, the strongest shortlist is Bain, Accenture, Consensys, Capitoline Global Group, and Capgemini—but the best choice depends on whether the priority is strategy, regulatory operating-model design, or technical implementation.

Provider · Best fit · Relevant strengths

Bain & Company · Enterprise strategy and investment decisions · Digital-asset due diligence, blockchain strategy, fintech value propositions, and financial-services expertise.

Accenture · Large-scale implementation · Enterpri …

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
    R3
    5
  2. 02
    Chainstack
    2
  3. 03
    Alchemy
    1

Share of mentions

CompanyShare
  1. R3
    34.5%
  2. Digital Asset
    34.5%
  3. ConsenSys Software
    20.7%
  4. Chainstack
    6.9%
  5. Alchemy
    3.4%
  6. ConsenSys Mesh (formerly ConsenSys Solutions)
    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
    blockchain-council.org
    6
  2. 02
    sec.gov
    6
  3. 03
    worldmetrics.org
    5
  4. 04
    fireblocks.com
    5
  5. 05
    arxiv.org
    5
  6. 06
    spacedev.io
    4
  7. 07
    walletinvestor.com
    4
  8. 08
    pwc.com
    4
  9. 09
    g2.com
    4
  10. 10
    capgemini.com
    3

ConsenSys Software 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

Perplexity
3/14
Gemini
2/14
OpenAI
1/14
Claude
0/14
Market comparisonSection 06

How ConsenSys Software 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
13

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
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
33
Ranks 39 of 102. Typical company: 30
Named in answers
10.7%
Ranks 24 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
33
Ranks 27 of 80. Typical company: 29
Named in answers
10.7%
Ranks 17 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 2: Bot-aware. Explicit AI bot rules and declared Content Signals.

To reach level 3:
  • Markdown negotiation
Can an AI agent check out here?

Not by itself. ConsenSys Software 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
100 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 headersPassed

    HTTP Link headers on the homepage that point agents at machine readable resources.

    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
68 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 92.7%
  • Content SignalsPassed

    Content-Signal lines in robots.txt declaring search, AI input and AI training preferences.

    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 49 of 100 · 97% of checks could run · checked on October 9, 2026 · consensys.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

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

  • 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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ShareSection 12

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Overall score 33 of 100 badge for ConsenSys Software

A badge of this result that you can show on your own website. Copy the code below.

<a href="https://aeo-audit.rezolve.com/us/finance/consensys.com"><img src="https://aeo-audit.rezolve.com/finance/badges/consensys.com.svg" alt="Overall score 33 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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