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
Rezolve Ai
MethodDemo
Back to the study
AI visibility statementFinance AI Visibility Study 2026Issued October 14, 2026
Account holder

Cohen & Steers

cohenandsteers.comCNS

Asset managersInvesting and wealth

Also in the US AI Visibility Study

Statement period
September 23 and 24, 2026
when the AI assistants were asked
Account no.
2,103 of 2,219
its rank by overall score
Place in its category
19th of 20 asset managers
Closing balance

Named in

0of 60, its tower is dark

by 0 of 4 assistants

Statement note

What this means for Cohen & Steers

AI assistants do not name Cohen & Steers in any of the 60 answers reviewed. It has an overall score of 22 out of 100, ranking 2,103rd of 2,219 companies. Its website passes 0 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Cohen & Steers by name. AI assistants named it in none of the 60 answers. Counting only how often it is named, it ranks 120th of 238 in its sector. The typical investing and wealth company is named in 0.8% of answers.

Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its peers.

Overall score
22Overall score
  • Visibility0
  • Citations1
  • Sentiment50
  • Site quality73
  • AI readiness0
Summary of account
Named by AI in
0.0%
0 of 60 answers
Share of mentions
0.0%
of the mentions of it and its 5 peers
AI readiness
0/14
technical checks passed. Typical for its sector: 4
Rank in its sector
220 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

Cohen & Steers came up on 0 of 15 questions. Open any window to read that answer.

  1. 01Alternatives to core real estate allocations for generating yield0/4
  2. 02How do costs for alternative income solutions compare to traditional fixed-income funds?0/4
  3. 03How can data center infrastructure investments fit into an institutional portfolio?0/4
  4. 04Top alternative income solutions for high-net-worth individuals in the US0/4
  5. 05Preferred securities vs direct real estate investments: which is better for stable income?0/4
  6. 06What are some non-traditional income strategies for conservative investors beyond real estate?0/4
  7. 07How can investors address challenges with liquidity in alternative income portfolios?0/4
  8. 08Other ways to access essential real assets exposure besides listed funds or ETFs?0/4
  9. 09What are the best real asset strategies for institutional investors seeking portfolio diversification?0/4
  10. 10Is investing in essential real assets worth it for long-term capital appreciation?0/4
  11. 11Why might a real asset allocation underperform broad equities this year?0/4
  12. 12What role can real assets play in hedging against inflation for retirement plans?0/4
  13. 13Should financial advisors recommend alternative income funds to clients in today’s market?0/4
  14. 14How do private real assets compare to public real assets in terms of risk and return?0/4
  15. 15Typical management fees for US-based real asset investment strategies0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 0/15All assistants: 0/60
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

The company is not named in this answer

Perplexitydid not name the company

“How do costs for alternative income solutions compare to traditional fixed-income funds?”

Alternative income solutions are generally more expensive than traditional fixed-income funds, especially when they use private markets, active management, leverage, or performance-based fees. Traditional fixed-income funds, particularly broad bond ETFs and index-style funds, are typically lower cost and more transparent.

Traditional fixed-income funds: Vanguard cites an average fixed-income fund expense ratio of 0.07% for its own funds versus an industry average of 0.37%; it also notes passive bond ETFs can have expense ratios as low as 0.06%. Merrill …

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.

Share of mentions

CompanyShare
  1. J.P. Morgan Asset Management – Real Assets
    66.7%
  2. Principal Real Estate Investors
    33.3%
  3. Cohen & Steers
    0.0%
  4. Brookfield Asset Management
    0.0%
  5. Nuveen (a TIAA company)
    0.0%
  6. PGIM Real Estate
    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
    am.jpmorgan.com
    35
  2. 02
    blackrock.com
    18
  3. 03
    finance.yahoo.com
    14
  4. 04
    morganstanley.com
    13
  5. 05
    seekingalpha.com
    12
  6. 06
    cfainstitute.org
    11
  7. 07
    pgim.com
    10
  8. 08
    ssga.com
    10
  9. 09
    cohenandsteers.com (its own website)
    9
  10. 10
    privatebank.jpmorgan.com
    9

Cohen & Steers is in the study as an asset manager.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Cohen & Steers 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
0

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
73

How well built the website's own pages are

AI readiness
0

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
22
Ranks 220 of 238. Typical company: 28
Named in answers
0.0%
Ranks 120 of 238. Typical company: 0.8%
AI readiness
0
Ranks 235 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
22
Ranks 19 of 20. Typical company: 28
Named in answers
0.0%
Ranks 9 of 20. Typical company: 0.0%
AI readiness
0
Ranks 20 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

The website turns away requests that do not come from a browser. AI agents that say what they are meet the same refusal.

Can an AI agent check out here?

Not by itself. Cohen & Steers 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
72 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 86.1%
  • SitemapPartly met

    Serve an XML sitemap and reference it 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 31 of 100 · 97% of checks could run · checked on October 5, 2026 · www.cohenandsteers.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

0 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%
  • Not metXML 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%
  • Not metToken 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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End of statement
All 2,219 companiesHow we measured this
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