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.

SWIFT47/60TRANSUNION46/60EXPERIAN42/60COINSTAR41/60NAVY FEDERAL CREDIT UNION41/60ZELLE41/60BLOOMBERG L.P.38/60TRADINGVIEW38/60BANCO POPULAR DE PUERTO RICO37/60PAYPAL37/60VENMO37/60CHEXSYSTEMS33/60EQUIFAX33/60MORNINGSTAR32/60S&P GLOBAL31/60ALPACA MARKETS30/60COINBASE30/60PINWHEEL29/60STRIPE29/60XERO29/60ACORNS28/60AFFIRM28/60PAYFAST (PAYGATE)28/60PAYONEER28/60INTERACTIVE BROKERS26/60CHARLES SCHWAB19/60THE HARTFORD9/60MOODY'S21/60CME GROUP19/60ACCENTURE11/60CHUBB10/60MORGAN STANLEY6/60AMERICAN EXPRESS14/60SYNCHRONY FINANCIAL12/60FACTSET20/60NASDAQ19/60ALLSTATE11/60WELLS FARGO18/60PAYCHEX10/60ARES MANAGEMENT3/60
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MethodDemo
Back to the study
AI visibility statementFinance AI Visibility Study 2026Issued October 14, 2026
Account holder

MSCI

msci.comMSCI

Market data, ratings and exchangesFinancial technology and data

S&P 500

Also in the US AI Visibility Study

Statement period
September 23 to 28, 2026
when the AI assistants were asked
Account no.
610 of 2,219
its rank by overall score
Place in its category
20th of 37 market data companies
Closing balance

Named in

11of 60 answers

by 4 of 4 assistants

Statement note

What this means for MSCI

AI assistants name MSCI in 18.3% of answers, which is much more often than the typical company in its sector at 1.7%. Its overall score is 35 out of 100, ranking 610th of 2,219 companies. The website passes 4 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned MSCI by name. AI assistants named it in 11 of the 60 answers. Counting only how often it is named, it ranks 53rd of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
35Overall score
  • Visibility19
  • Citations3
  • Sentiment67
  • Site quality73
  • AI readiness29
Summary of account
Named by AI in
18.3%
11 of 60 answers
Share of mentions
20.8%
of the mentions of it and its 5 peers
AI readiness
4/14
technical checks passed. Typical for its sector: 4
Rank in its sector
199 of 574
by overall score, where the typical financial technology and data company scores 29

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Line itemsSection 01

Every question, and where the company came up

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

  1. 01Typical pricing models for enterprise-level index solution providers in the US0/4
  2. 02Are there affordable analytics subscription plans for small institutional investors?0/4
  3. 03How do institutional investors use investment analytics to optimize risk management strategies?0/4
  4. 04Is advanced index construction software a good investment for US-based asset managers?1/4
  5. 05What are the best investment analytics platforms for tracking global equity markets?0/4
  6. 06Are all-in-one investment analytics suites worth the premium for financial professionals?0/4
  7. 07How can I resolve inaccuracies in private asset data feeds from analytics providers?0/4
  8. 08How do sustainability analytics differ from standard wealth management analytics?0/4
  9. 09Top data solutions for physical climate risk assessment in investment portfolios4/4
  10. 10Alternatives to specialized climate risk tools for asset allocation decisions1/4
  11. 11Risk analytics tools vs. traditional portfolio analysis: which approach is more effective for institutional investors?0/4
  12. 12Free or low-cost tools for tracking global market indexes for investment research2/4
  13. 13Why might climate risk exposure calculations differ between analytics platforms?0/4
  14. 14What are some alternatives to large-scale index data services for portfolio benchmarking?3/4
  15. 15Best practices for using data analytics tools to support ESG reporting requirements0/4
Total namedOpenAI: 4/15Claude: 2/15Perplexity: 2/15Gemini: 3/15All assistants: 11/60
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 OpenAI actually said

An answer that names the company

OpenAInamed the company

“What are some alternatives to large-scale index data services for portfolio benchmarking?”

Good question — large commercial index feeds (MSCI, S&P, FTSE, etc.) are convenient but costly and sometimes ill-fitting. Below are practical alternatives for creating meaningful portfolio benchmarks, grouped by approach, with pros/cons and quick implementation notes.

1) Custom, holdings-based benchmark

What: Build a benchmark from the actual holdings (or a target-holdings rule) of the portfolio (security list + weights).

Pros: Perfect alignment with investment strategy, transparent, easy attribution (holdings vs benchmark).

Cons: Requires maintenance when holdings change; need pricing/ …

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
    FactSet
    9
  2. 02
    FTSE Russell
    1

Share of mentions

CompanyShare
  1. Bloomberg Index Services
    26.4%
  2. MSCI
    20.8%
  3. FactSet
    20.8%
  4. Morningstar, Inc.
    17.0%
  5. S&P Dow Jones Indices
    13.2%
  6. FTSE Russell
    1.9%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    msci.com (its own website)
    18
  2. 02
    spglobal.com
    14
  3. 03
    visualping.io
    11
  4. 04
    alpha-sense.com
    10
  5. 05
    hebbia.com
    8
  6. 06
    unepfi.org
    7
  7. 07
    ice.com
    7
  8. 08
    koyfin.com
    6
  9. 09
    bloomberg.com
    6
  10. 10
    fusion.jpmorgan.com
    5

MSCI is in the study as a market data company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

OpenAI
4/15
Gemini
3/15
Claude
2/15
Perplexity
2/15
Market comparisonSection 06

How MSCI 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
3

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
29

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 financial technology and data companies

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

Overall score
35
Ranks 199 of 574. Typical company: 29
Named in answers
18.3%
Ranks 53 of 574. Typical company: 1.7%
AI readiness
29
Ranks 224 of 574. Typical company: 29
Against its categorySection 08

Compared with market data companies

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

Overall score
35
Ranks 20 of 37. Typical company: 36
Named in answers
18.3%
Ranks 15 of 37. Typical company: 15.0%
AI readiness
29
Ranks 8 of 37. 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. MSCI 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.msci.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

4 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%
  • 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

Share this result

Overall score 35 of 100 badge for MSCI

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/msci.com"><img src="https://aeo-audit.rezolve.com/finance/badges/msci.com.svg" alt="Overall score 35 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
End of statement
All 2,219 companiesHow we measured this
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