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 29, 2026
when the AI assistants were asked
Account no.
811 of 2,219
its rank by overall score
Place in its category
20th of 61 large national banks
Closing balance

Named in

5of 60 answers

by 2 of 4 assistants

Statement note

What this means for Citigroup

AI assistants name Citigroup in 8.3% of answers, while the typical company in its sector is named in 0% of answers. It has an overall score of 31 out of 100, ranking 811th of 2,219. The Citigroup website passes 3 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Citigroup by name. AI assistants named it in 5 of the 60 answers. Counting only how often it is named, it ranks 86th of 394 in its sector. The typical banking company is named in 0.0% of answers.

Overall score
31Overall score
  • Visibility11
  • Citations0
  • Sentiment67
  • Site quality73
  • AI readiness21
Summary of account
Named by AI in
8.3%
5 of 60 answers
Share of mentions
19.2%
of the mentions of it and its 5 peers
AI readiness
3/14
technical checks passed. Typical for its sector: 3
Rank in its sector
125 of 394
by overall score, where the typical banking company scores 28

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Line itemsSection 01

Every question, and where the company came up

Citigroup came up on 4 of 15 questions. Open any window to read that answer.

  1. 01Is it a good idea to use an investment bank for both personal and institutional accounts?0/4
  2. 02How much should U.S. clients expect to pay for cross-border investment banking services?0/4
  3. 03Alternatives to full-service global banks for U.S. clients seeking cross-border financial solutions?1/4
  4. 04What banking services help facilitate cross-border mergers and acquisitions?0/4
  5. 05How does international wealth management compare to domestic-only financial advisory for U.S. clients?0/4
  6. 06Investment banking vs. private banking: which is better for institutional investors?0/4
  7. 07Why might a global investment bank decline onboarding an institutional client?0/4
  8. 08Differences between global private wealth management and regional asset management firms?0/4
  9. 09How can high-net-worth individuals protect assets when investing internationally?0/4
  10. 10What fee structures do global financial institutions use for wealth management accounts?0/4
  11. 11Where can U.S. clients find reliable personal banking services with international reach?1/4
  12. 12Are integrated banking and wealth management solutions worth the extra cost for cross-border clients?0/4
  13. 13What are the top investment banking services for institutions with cross-border financial needs?2/4
  14. 14Best global wealth management options for high-net-worth families in the U.S.1/4
  15. 15Common issues when transferring large sums internationally using private wealth management services?0/4
Total namedOpenAI: 0/15Claude: 2/15Perplexity: 0/15Gemini: 3/15All assistants: 5/60
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

“What are the top investment banking services for institutions with cross-border financial needs?”

I'll search for current information about top investment banking services for institutions with cross-border financial needs.Based on current information, here are the top investment banking services for institutions with cross-border financial needs:

Major Investment Banks and Key Services

JPMorgan, Goldman Sachs, Morgan Stanley, Bank of America, and Citigroup consistently rank among the largest investment banks globally by revenue and deal activity.

HSBC is particularly well-suited for cross-border transactions. HSBC is the second largest bank in Europe and a uniquely positioned gl …

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
    Bank of America
    5
  2. 02
    Morgan Stanley
    3
  3. 03
    Goldman Sachs
    2
  4. 04
    Wells Fargo
    1

Share of mentions

CompanyShare
  1. Bank of America
    23.1%
  2. Citigroup
    19.2%
  3. Morgan Stanley
    19.2%
  4. Goldman Sachs
    19.2%
  5. JPMorgan Chase & Co.
    11.5%
  6. Wells Fargo
    7.7%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    jpmorgan.com
    16
  2. 02
    globalinvestments.net
    12
  3. 03
    hubbis.com
    12
  4. 04
    smartasset.com
    10
  5. 05
    creativeplanning.com
    9
  6. 06
    morganstanley.com
    8
  7. 07
    privatebank.jpmorgan.com
    8
  8. 08
    forbes.com
    8
  9. 09
    privatebank.citibank.com
    7
  10. 10
    globalbankingandfinance.com
    7

Citigroup is in the study as a large national bank.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
3/15
Claude
2/15
OpenAI
0/15
Perplexity
0/15
Market comparisonSection 06

How Citigroup 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
11

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
67

How positively AI describes the company

Site quality
73

How well built the website's own pages are

AI readiness
21

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 banking companies

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

Overall score
31
Ranks 125 of 394. Typical company: 28
Named in answers
8.3%
Ranks 86 of 394. Typical company: 0.0%
AI readiness
21
Ranks 199 of 394. Typical company: 29
Against its categorySection 08

Compared with large national banks

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

Overall score
31
Ranks 18 of 61. Typical company: 27
Named in answers
8.3%
Ranks 15 of 61. Typical company: 1.7%
AI readiness
21
Ranks 27 of 61. Typical company: 21
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. Citigroup 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
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 25 of 100 · 97% of checks could run · checked on October 5, 2026 · www.citigroup.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

3 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%
  • 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%
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 31 of 100 badge for Citigroup

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

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