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
September 23 to 28, 2026
when the AI assistants were asked
Account no.
628 of 2,219
its rank by overall score
Place in its category
4th of 20 asset managers
Closing balance

Named in

6of 60 answers

by 4 of 4 assistants

Statement note

What this means for BNY Mellon

AI assistants name this asset manager in 10% of answers, much more often than the typical company in its sector, which is named in 0.8%. Its overall score is 35 out of 100, ranking 628th of 2,219 companies. Its website passes 2 out of 14 technical checks that measure how ready it is for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned BNY Mellon by name. AI assistants named it in 6 of the 60 answers. Counting only how often it is named, it ranks 36th of 238 in its sector. The typical investing and wealth company is named in 0.8% of answers.

Overall score
35Overall score
  • Visibility13
  • Citations0
  • Sentiment75
  • Site quality87
  • AI readiness14
Summary of account
Named by AI in
10.0%
6 of 60 answers
Share of mentions
19.4%
of the mentions of it and its 5 peers
AI readiness
2/14
technical checks passed. Typical for its sector: 4
Rank in its sector
62 of 238
by overall score, where the typical investing and wealth company scores 28

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Line itemsSection 01

Every question, and where the company came up

BNY Mellon came up on 3 of 15 questions. Open any window to read that answer.

  1. 01Is a global financial services platform worth it for growing investment firms?0/4
  2. 02How much do institutional investors pay for end-to-end investment management solutions?0/4
  3. 03What are the best options aside from traditional financial service platforms for treasury operations?0/4
  4. 04What can cause delays in cross-border asset transfers on global financial platforms?0/4
  5. 05Does outsourcing treasury management make sense for mid-sized corporations?0/4
  6. 06How does asset servicing differ from investment management for institutional clients?1/4
  7. 07Best asset servicing solutions for large corporations in the US?3/4
  8. 08Alternatives to global custody platforms for multi-asset class portfolios2/4
  9. 09How can institutional investors leverage digital platforms for real-time capital deployment?0/4
  10. 10What are the top global financial services platforms for institutional investors?0/4
  11. 11Global custody platforms vs. traditional treasury services: which is better for multinational corporations?0/4
  12. 12Common challenges when integrating AI-driven financial platforms into corporate finance operations0/4
  13. 13What are typical fee structures for global asset servicing platforms in the US?0/4
  14. 14New digital platforms offering global financial services for institutional clients0/4
  15. 15Examples of treasury management solutions supporting regulatory compliance for US corporations0/4
Total namedOpenAI: 1/15Claude: 1/15Perplexity: 2/15Gemini: 2/15All assistants: 6/60
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

“Best asset servicing solutions for large corporations in the US?”

For large corporations in the US, the strongest asset servicing providers in your results are State Street, BNY Mellon, Northern Trust, J.P. Morgan, U.S. Bank, FIS, and Broadridge. The best choice depends on whether you need global custody, fund administration, middle- and back-office automation, or tax/corporate actions processing.

Provider · Best fit for large corporations · Why it stands out

State Street · Global custody and institutional servicing · Positioned as a global custody provider with asset ser …

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
    Northern Trust
    7
  2. 02
    State Street
    6
  3. 03
    J.P. Morgan Securities Services
    2

Share of mentions

CompanyShare
  1. State Street
    29.0%
  2. J.P. Morgan Securities Services
    29.0%
  3. BNY Mellon
    19.4%
  4. Northern Trust
    19.4%
  5. Citibank Institutional Clients Group
    3.2%
  6. Bank of America – Global Banking and Markets
    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
    bny.com
    13
  2. 02
    fisglobal.com
    10
  3. 03
    treasury.ripple.com
    10
  4. 04
    gartner.com
    9
  5. 05
    jpmorgan.com
    8
  6. 06
    sec.gov
    8
  7. 07
    ey.com
    7
  8. 08
    northerntrust.com
    6
  9. 09
    broadridge.com
    6
  10. 10
    statestreet.com
    6

BNY Mellon is in the study as an asset manager.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
2/15
Perplexity
2/15
Claude
1/15
OpenAI
1/15
Market comparisonSection 06

How BNY Mellon 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
0

How often AI uses the company's own website as a source

Sentiment
75

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
14

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 investing and wealth companies

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

Overall score
35
Ranks 62 of 238. Typical company: 28
Named in answers
10.0%
Ranks 36 of 238. Typical company: 0.8%
AI readiness
14
Ranks 204 of 238. Typical company: 29
Against its categorySection 08

Compared with asset managers

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

Overall score
35
Ranks 4 of 20. Typical company: 28
Named in answers
10.0%
Ranks 2 of 20. Typical company: 0.0%
AI readiness
14
Ranks 19 of 20. Typical company: 25
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. BNY Mellon 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.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
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 32 of 100 · 97% of checks could run · checked on October 5, 2026 · www.bny.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

2 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

  • Not metrobots.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%
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Overall score 35 of 100 badge for BNY Mellon

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